Solutions Architect jobs in Tel Aviv-Yafo

About the Role Jeen is looking for a hands-on Enterprise AI Solutions Architect to own the technical design and delivery of end-to-end AI solutions for complex Enterprise customers. You will work directly with customers to translate business, data, security, and technical requirements into scalable, production-ready AI architectures. Key Responsibilities Lead technical discovery and translate business requirements into end-to-end AI solution architectures. Design solution components, data flows, integrations, model interactions, and operational workflows. Define the right AI approach, including RAG, agentic workflows, orchestration, model selection, evaluation, and fine-tuning, balancing quality, security, scalability, latency, and cost. Design integrations with customer systems, APIs, data sources, identity services, and IT infrastructure. Define evaluation, guardrails, observability, monitoring, governance, and security requirements. Lead architecture workshops and technical discussions with customers and internal teams. Provide technical leadership to Development and Delivery teams throughout implementation, troubleshooting, and production readiness. Build prototypes and POCs, troubleshoot technical issues, and validate architectural decisions through code when needed. Requirements 5+ years of experience in Software Engineering, Solutions Architecture, AI Engineering, or a related hands-on technical role. Proven experience designing and delivering end-to-end Enterprise software or AI solutions. Hands-on experience with LLM-based systems, including RAG, agentic workflows, search/knowledge solutions, or similar AI applications. Strong understanding of APIs, Enterprise integrations, data flows, databases, and distributed systems. Strong understanding of Enterprise environments, including security, identity, networking, and cloud/on-prem/hybrid architectures. Experience leading technical discovery and architecture discussions with Enterprise customers. Excellent communication skills in English. Preferred Qualifications Experience taking Generative AI solutions from POC to production. Experience with LLM evaluation, observability, and guardrails. Experience with Kubernetes, microservices, vector databases, search technologies, or data pipelines. Experience designing solutions for regulated or security-sensitive environments.

Description About Cyera Come join the company building the security operating model for the age of AI. AI has changed how data is used — and security must change with it. Cyera's mission is to empower businesses to accelerate AI Adoption by defining a holistic approach to securing AI - from data to access to model. Instead of perimeter controls and static policies, Cyera provides a unified control plane that understands relationships between data, access, and behaviors across humans, systems, and AI. Backed by the world’s leading investors and working with a large and growing list of Fortune 1000 companies, we are looking for world-class talent to join us as we usher in the new era of data and AI security. About the Role We’re looking for a Solution Architect based in Israel, to be the technical and strategic bridge between Oasis and our prospects and customers. You’ll develop a deep command of the Cyera Identety platform, lead high-impact discovery and design sessions, and craft architectures that map complex enterprise environments to clear business outcomes. The role sits close to R&D and Product: solving complex customer setups, building test environments, and feeding field issues back into the product, with opportunities to influence post-sales deployments for our most strategic accounts. You’ll collaborate closely with Sales, Product, executive leadership and founders, and help create repeatable approaches and assets that raise the bar for our go-to-market motion. What You’ll Do • Discovery & Solution Architecture: Lead technical discovery, assess customer environments, and design end-to-end solutions that align Oasis capabilities to enterprise needs across cloud, identity, and security programs. • Compelling Demos & Deep Dives: Deliver crisp, technically rigorous demos and workshops that make complex concepts simple for both technical stakeholders and executive decision-makers. • Technical Strategy for Strategic Deals: Partner with Sales leadership on high-impact pursuits, shaping strategy, building bespoke prototypes / POCs, and guiding evaluation criteria to successful outcomes. • Field-to-Product Feedback Loop: Translate customer needs into actionable insights for Product; influence roadmap priorities with clear problem statements and repeatable solution patterns. • Partner Enablement: Equip partners with technical know-how, patterns, and enablement materials to accelerate joint wins and scalable deployments. • Artifacts & Best Practices: Create high-quality reference architectures, playbooks, and reusable assets that uplevel the broader GTM and CS teams. What You'll Bring • Technical depth from customer-facing, engineering or product roles. • Demonstrated ability to get deeply technical and explain complex systems simply to varied audiences - from IAM leaders to C-suite decision-makers. • Prior customer-facing experience is not required. Software engineering and product backgrounds are an advantage. • Background in Cybersecurity and/or Identity is a strongly preferred; experience with IAM/PAM, secrets management, and/or cloud security is a plus. • Proven experience designing architectures, building POCs, and producing crisp technical collateral (reference designs, playbooks, etc). • Comfort partnering cross-functionally with Sales, Product, and (as needed) R&D - field-oriented with strong customer empathy and bias for action. • Excellent communication, facilitation, and presentation skills; confident leading strategic conversations and aligning diverse stakeholders.

Description About Cyera Come join the company building the security operating model for the age of AI. AI has changed how data is used — and security must change with it. Cyera's mission is to empower businesses to accelerate AI Adoption by defining a holistic approach to securing AI - from data to access to model. Instead of perimeter controls and static policies, Cyera provides a unified control plane that understands relationships between data, access, and behaviors across humans, systems, and AI. Backed by the world’s leading investors and working with a large and growing list of Fortune 1000 companies, we are looking for world-class talent to join us as we usher in the new era of data and AI security. About the Team Earlier this year, Cyera established an entirely new group with a singular focus: Enabling our customers to safely adopt AI. Not just secure AI use after the fact - but discover it, govern it, and protect it end to end. The AI Security group operates like a startup within Cyera. You'll join this group as we define what enterprise-grade AI security looks like from scratch. If you’re passionate about the intersection of AI and data security and thrive in an agile, fast-moving environment, this is the place to make an impact. About the Role We’re looking for a skilled and strategic Solution Architect to join our AI Security group. In this role, you’ll own complex customer projects, bridge the gap between the field, R&D and PM. You’ll work closely with internal teams and customers to address technical challenges, enhance our platform’s capabilities, and drive successful customer implementation and outcomes. Your work will directly influence product evolution, customer adoption, and enable scalable success across the organization. What You’ll Do • Act as the technical point of contact and lead complex customer engagement projects across pre-sale and post-sale efforts. • Partner with internal teams and customers to implement and integrate Cyera’s AI Sec solutions, ensuring technical feasibility and alignment with business needs. • Act as a platform expert, collaborating with Product and Engineering teams to translate customer challenges into new features and technical solutions. • Troubleshoot complex technical issues, working with cross-functional teams to resolve challenges quickly and effectively. • Collaborate closely with Sales, Customer Success, Product Management and R&D to accelerate the sales process, manage escalations, and maintain alignment across teams. • Design and implement ad-hoc technical solutions and automation to enhance pre-sale, post-sale, and internal operations. • Continuously improve internal workflows, tooling, and best practices to support a growing customer base and field team. • Drive pre-sales engagements to a technical win and post-sales engagements to success. Requirements Who You Are Must-Haves • Proven experience as a Solution Architect (or similar technical role) • Strong background creating technical solutions, systems integrations, and customer-facing technical delivery. • Proficiency in querying (e.g., SQL). • Strong cloud understanding and experience (at least one of AWS/Azure/GCP). • Proven experience with handling complex customer requirements. • You excel at problem-solving, capable of analyzing complex systems and processes to develop effective solutions. • You are a strong communicator with excellent interpersonal skills, building trust and relationships with customers and internal teams. • You thrive in a fast-paced environment, effectively managing multiple priorities and adapting to evolving business needs. • Strong ownership mindset - you take initiative, work independently, and thrive in fast-moving environments. • Experience collaborating with R&D and Product teams to resolve customer friction and improve product capabilities. Nice-to-Haves • Background as a software developer • Strong understanding of the AI Security space • Proven experience developing AI Agents • Bachelor's degree in Computer Science, Information Technology, or a related field. • Familiarity with automation, scripting, and internal tooling development. Why Join Us? At Cyera, we care about collaboration, innovation, and agility. We take “teamwork” seriously—with our inclusive and supportive culture at the forefront—and we’re just as serious about nurturing Cyerans to grow, both personally and professionally. • **Feel Free to Apply Even if your experience doesn’t tick every box, we encourage you to apply. We’re building something special here—and we welcome Cyerans with diverse backgrounds, perspectives, and experiences.

Description About Cyera Come join the company building the security operating model for the age of AI. AI has changed how data is used — and security must change with it. Cyera's mission is to empower businesses to accelerate AI Adoption by defining a holistic approach to securing AI - from data to access to model. Instead of perimeter controls and static policies, Cyera provides a unified control plane that understands relationships between data, access, and behaviors across humans, systems, and AI. Backed by the world’s leading investors and working with a large and growing list of Fortune 1000 companies, we are looking for world-class talent to join us as we usher in the new era of data and AI security. About the Team Cyera’s Solution Architecture (SA) team is a key part of our field organization, responsible for delivering technical excellence and driving customer success across our platform. Operating as the highest technical tier supporting both pre-sale and post-sale efforts, the team works closely with R&D, Product, Sales Engineering, and Customer Success. Solution Architects lead complex implementations, guide architectural decisions, and directly shape the evolution of our product. If you're passionate about solving tough technical problems, love collaborating across teams, and want to make a real impact—this is the team for you. About the Role We’re looking for a senior and strategic Solution Architect to join our Solution Architecture team. In this role, you’ll act as a technical leader and domain owner, bridging the gap between the field and R&D. You’ll work hands-on with customers during pre-sale and post-sale engagements, designing and implementing solutions, resolving technical challenges, and influencing the roadmap based on real-world needs. Your expertise will help improve internal processes, shape product capabilities, and enable scalable success across the organization. What You’ll Do • Act as the senior technical point of contact for complex customer engagements across pre-sale and post-sale efforts. • Partner with customers to design and implement technical solutions that align with security, compliance, and operational requirements. • Lead Proof of Value and production rollout initiatives, ensuring smooth implementation and strong adoption. • Own a product domain, working closely with R&D to resolve friction, contribute to roadmap development, and drive ecosystem growth. • Build reusable solution assets including internal documentation, technical guides, automation scripts, and enablement content. • Collaborate cross-functionally with Product, Engineering, Sales Engineering, Customer Success, and Marketing to drive platform adoption and customer success. • Troubleshoot and resolve complex technical issues across data sources, cloud infrastructure, and enterprise systems. • Continuously improve internal workflows, tooling, and best practices to support a growing customer base and field team. Requirements Who You Are Must-Haves • Proven experience as a Solution Architect, Senior Sales Engineer, or similar technical role in a SaaS, security, or cloud-native company. • strong background as a Software development - a must • Strong background in solutioning, systems integration, and customer-facing technical delivery. • Proficiency in data analysis and querying (e.g., SQL) and comfort working across distributed systems and cloud environments. • Excellent communication and interpersonal skills, with the ability to influence both technical and business stakeholders. • Strong ownership mindset—you take initiative, work independently, and thrive in fast-moving environments. • Experience collaborating with R&D and Product teams to resolve customer friction and improve product capabilities. Nice-to-Haves • Bachelor’s degree in Computer Science, Information Security, or a related technical field. • Experience working on or supporting security-focused SaaS platforms. • Familiarity with automation, scripting, and internal tooling development. • Industry certifications (e.g., AWS Certified Solutions Architect, CISSP, CCSP) and experience with enterprise-scale deployments. Why Join Us? At Cyera, we care about collaboration, innovation, and agility. We take “teamwork” seriously—with our inclusive and supportive culture at the forefront—and we’re just as serious about nurturing Cyerans to grow, both personally and professionally. ***Feel Free to Apply Even if your experience doesn’t tick every box, we encourage you to apply. We’re building something special here—and we welcome Cyerans with diverse backgrounds, perspectives, and experiences.

Description About the Role Onyx is looking for a Technical Solution Architect to join our Solutions team. In this role, you will work closely with customers, Sales Engineers, Product, and Engineering to deliver successful Proofs of Concept (POCs) and solve complex technical challenges. Everyone at Onyx is a builder. In this role, you’ll contribute directly to the Onyx platform by building product features, developing proof-of-concepts for customers, and creating internal tools that improve, streamline, and accelerate the POC process. This is a highly hands-on position for someone who enjoys diving deep into customer environments, working with data, building technical solutions, and creating value beyond the product itself. You'll play a key role in helping enterprise customers realize the full potential of our AI security platform while influencing product direction through real-world customer feedback. What You'll Do • Lead the technical execution of customer Proofs of Concept (POCs), from initial design through successful delivery. • Partner with Sales Engineers to provide deep technical expertise throughout the sales cycle. • Build tools to accelerate deployments and demonstrate customer value. • Participate in customer workshops, architecture discussions, and live debugging sessions. • Analyze raw customer data to uncover insights and validate platform capabilities. • Design creative technical solutions that address customer use cases, even beyond the platform's out-of-the-box capabilities. • Troubleshoot complex technical issues across customer environments and work closely with Engineering to resolve them. • Collaborate with Product and R&D to communicate customer feedback and influence future product capabilities. • Build technical best practices, reusable assets, and implementation playbooks to improve future deployments. • Serve as a trusted technical advisor throughout the customer journey. Requirements What You'll Bring • 5+ years of experience in Solution Architecture, Solutions Engineering, Professional Services, Forward Deployed Engineering, or a similar customer-facing technical role. • Strong software engineering. • Experience working with APIs, integrations, automation, and data processing. • Strong understanding of Kubernetes, Linux, networking, containers, and cloud platforms (AWS, Azure, or GCP). • Experience analyzing datasets and troubleshooting complex technical environments. • Ability to quickly understand customer architectures and design practical solutions. • Excellent communication skills with the ability to explain complex technical concepts to both technical and business audiences. • A proactive, customer-first mindset with a passion for solving challenging problems. • Ability to thrive in a fast-paced startup environment. • Experience with AI, cybersecurity, cloud-native technologies, or developer platforms. Nice to Have • Experience supporting enterprise POCs or large-scale deployments. • Familiarity with CI/CD pipelines, DevOps practices, and infrastructure-as-code. • Experience working directly with Product and Engineering teams to influence roadmap decisions.

Description Join Noma Security and help shape the future of AI security in a fast-paced, high-impact environment. Noma is building the first comprehensive AI Security and Governance Platform, helping organizations adopt AI and LLMs with confidence and control. As AI becomes core to modern enterprises, we provide seamless visibility and protection across the entire AI lifecycle. Our team works at the intersection of AI, security, and cloud, shaping a new category in a rapidly evolving market. At Noma, you’ll have the opportunity to make a meaningful impact while working with exceptional people on technology that truly matters. We’re looking for a Solution Architect to bridge the gap between complex AI security challenges and real-world enterprise implementations. In this role, you will work closely with customers, Product, R&D, and Sales to design scalable, secure, and high-impact AI security solutions. This is a strategic, customer-facing, and hands-on role where you will own the technical design of enterprise deployments and play a key part in shaping how our platform delivers value in production environments. 🛠️ What You’ll Do: Own Customer Solution Design • Lead technical discovery sessions with enterprise customers to deeply understand their AI usage, architecture, and security requirements. • Design end-to-end solution architectures tailored to customer environments (cloud, hybrid, on-prem). • Translate security and governance needs into scalable technical implementations. Be the Technical Bridge • Work closely with Sales during pre-sale processes to support technical validation and proof-of-value engagements. • Partner with Product and R&D to communicate field feedback and influence roadmap priorities. • Ensure smooth handover from pre-sale to post-sale implementation and ongoing optimization. Drive AI Security Implementations • Architect integrations across AI systems, LLM applications, data pipelines, model layers, and runtime environments. • Define best practices for secure AI adoption, governance workflows, and observability frameworks. • Guide customers through architecture decisions, trade-offs, and scalability considerations. Lead Technical Authority • Act as a trusted advisor to CISOs, security teams, and AI leaders. • Support complex technical escalations and architectural challenges. • Continuously stay ahead of trends in AI security, cloud architecture, and enterprise security frameworks. ✅ What You Bring: • Hands-on technical background (architecture, engineering) • 5+ years of experience in cybersecurity (Application Security, Cloud Security, AI Security, or related fields) — must. • Strong understanding of modern cloud environments (AWS / GCP / Azure) and enterprise architectures. • Experience designing or implementing complex technical solutions in enterprise environments. • Excellent communication skills and ability to translate technical depth into business value. • Customer-facing experience - pre-sale, post-sale, or strategic technical advisory roles. • Bachelor’s degree in Computer Science or equivalent practical experience. 🎯 Nice to Haves • Experience working with AI / LLM systems, model pipelines, or GenAI applications. • Background as a Product Manager in cybersecurity looking to transition into a more technical, architecture-focused role. • Experience in early-stage startups or high-growth environments. • Familiarity with governance frameworks, compliance requirements, and enterprise security standards. 💙 Perks & Benefits Located in a prime area with easy access to public transportation, near the Hashalom train station and the Light Rail. A bright, spacious, dog-friendly office that makes you smile the moment you walk in 🐶 Team bonding activities, company retreats, happy hours, and holiday gifts Pilates classes at the office 💪🧘‍♀️ Never hungry: Monthly lunch budget, dinners provided, and a fully stocked kitchen 🍽️ A warm, supportive, and people-first company culture Pension & Keren Hishtalmut (advanced training fund) A global work environment with teams across Tel Aviv, the US, the Netherlands, and London Options that let you share in Noma’s growth and success

Description Deloitte R&D and Innovation Center is looking for a Head of AI Solutions. We are looking for a senior, client-facing technology leader to shape, sell, and deliver high-impact AI and agentic-AI solutions for leading organizations in Israel. This is a growth-oriented role for someone who can earn the trust of CIOs and business executives, translate complex business challenges into compelling solution strategies, and lead successful delivery from first conversation through execution. You will work alongside Deloitte’s go-to-market, consulting, engineering, data, and AI teams to develop strategic client opportunities and turn them into scalable, production-ready solutions. The role combines commercial acumen, enterprise architecture expertise, and hands-on leadership of complex technology programs. In this role, you will: • Lead the full client journey for AI and agentic-AI opportunities, from opportunity shaping and executive discovery to presales, proposal development, solution design, commercialization, and delivery oversight. • Build trusted relationships with CIOs, CTOs, CDOs, and business executives; lead executive conversations that connect AI investment to measurable business outcomes. • Partner with Deloitte’s go-to-market leaders to originate and advance strategic opportunities in the Israeli market, contribute to account plans, and support the development of a sustainable sales pipeline. • Lead end-to-end solution architecture for complex enterprise engagements, combining organizational data, AI and machine-learning capabilities, cloud platforms, enterprise applications, integrations, and operating-model considerations. • Shape agentic AI solutions, including agent orchestration, tool calling, retrieval-augmented generation, human-in-the-loop workflows, security controls, observability, evaluation, and production operations. • Develop clear, compelling client proposals, solution blueprints, value cases, and delivery approaches that balance client value, technical feasibility, delivery risk, and commercial viability. • Own the transition from presales to delivery, ensuring that the scope, solution, estimate, milestones, responsibilities, and client expectations agreed during the sales process are executable. • Lead multidisciplinary delivery teams, including engineers, architects, data scientists, and product specialists; manage delivery plans, dependencies, risks, milestones, and senior client communication. • Establish quality and success measures for AI solutions, including business outcomes, adoption, task success, reliability, tool-use accuracy, latency, cost, safety, and responsible-AI requirements. • Guide clients through technical and organizational decisions on data readiness, platform selection, governance, security, privacy, and change adoption. • Build reusable Deloitte assets, reference architectures, accelerators, and solution patterns that strengthen differentiation and accelerate future engagements. • Represent Deloitte’s AI and engineering capabilities in client forums, executive workshops, industry events, and thought-leadership activities. Requirements • 10+ years of experience in technology consulting, enterprise solution architecture, systems integration, or technology-led professional services. • Proven experience leading complex presales and solution-design processes, including shaping large-scale engagements, developing proposals, and presenting to senior client stakeholders. • Demonstrated ability to build credibility with C-suite and senior technology leaders and to translate business priorities into practical technology roadmaps and investment cases. • Strong enterprise architecture expertise across cloud, data platforms, APIs and integrations, security, software engineering, and enterprise applications. • Practical knowledge of generative AI and agentic systems, including LLM applications, retrieval-augmented generation, agent orchestration, evaluation, observability, and responsible AI. • Experience with, or strong working knowledge of, tools and frameworks such as LangChain, LangGraph, Langfuse, or comparable platforms for agent orchestration, tracing, evaluation, and monitoring. • Experience leading the delivery of complex technology programs, including team leadership, client governance, planning, budgeting, risk management, and delivery assurance. • Strong commercial acumen, with the ability to articulate value, shape delivery models, and contribute to successful deal qualification and closing. • Exceptional written, presentation, and communication skills in Hebrew and English. • Bachelor’s degree in Computer Science, Engineering, Information Systems, Business, or a related field; advanced degree or MBA is an advantage. Nice to Have • Experience working for a leading technology services provider, systems integrator, consulting firm, or enterprise software organization. • Experience delivering AI, data, cloud, or digital-transformation programs for large Israeli enterprises. • Familiarity with LLMOps and MLOps, AI governance, data governance, cyber security, privacy, and regulatory considerations. • Experience working with global delivery teams or supporting international client engagements. What We Offer • A senior leadership role with significant influence on Deloitte Israel’s AI go-to-market strategy and client portfolio. • The opportunity to work at the intersection of executive advisory, emerging technology, and hands-on solution delivery. • A Senior Manager-level position with a defined path toward Managing Director, linked to the growth of client activity, successful delivery, and business impact. Full time Job Location: Tel Aviv, Hybrid We at Deloitte believe that diversity and inclusion among our people is a critical component of our success and that is why we cultivate an organizational culture that contains and embraces diversity in all its forms.

We are now looking for a Solution Architect - Deep Learning based in Israel. The individual will collaborate with brand-new Agentic and Physical AI tools alongside Machine learning, Deep Learning, and Data analytics to improve workflows and develop groundbreaking solutions. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most dedicated individuals in the world working for us. If you're creative and autonomous, we want to hear from you! What You'll Be Doing: • Assisting field business development in guiding the customer through the sales process for GPU Computing products, owning the technical relationship and assisting the customer in building innovative solutions based on NVIDIA technology. • Be a motivating leader in integrating NVIDIA technology into HPC architectures to support scientific and engineering applications. • Be an internal champion for Deep Learning and Data Science among the NVIDIA technical community. • Develop demo solutions and showcase to the AI ecosystem. What We Need To See: • B.sc or M.sc in Engineering, Mathematics, Physics, or Computer Science or equivalent experience • 5+ years of experience in software development or extensive data analytics, CUDA experience highly desirable. • Experience working with modern Deep Learning software architecture and frameworks including PyTorch, VLLM, Triton • Proven Exposure to GPU technology and CUDA programming • Demonstrable experience in strategy, research, communications. • Capable of working in a constantly evolving environment without losing focus. • Committed with strong analytical and problem solving skills. • Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects. • Direct experience participating in communities (expertly or as highly engaged developer). Ways To Stand Out From The Crowd: • Technical knowledge of developer digital platforms and their trends. • Experienced working with containers, Kubernetes and MLoPS tools • Exposure to C, C++ and Python. • Research background. • Good presentation skills #deeplearning

As a Software Solution Architect, NVIS at NVIDIA, you will lead the transformation of AI infrastructure. Our NVIS team focuses on developing the next generation of NVIS Central, an agentic software platform with tools, services, and AI agents that automate, simplify, and speed up the work of our delivery organization. This role offers an outstanding chance to create and build LLM-powered agents that improve execution visibility, cut down manual tasks, and standardize workflows. These efforts allow NVIS to grow quickly and with high quality. Join us to bring up, validate, optimize, and upgrade large-scale AI Factory infrastructure for some of the world’s most advanced accelerated computing environments! What you'll be doing: • Compose, build, and productionize agentic AI solutions, tools, and applications for the NVIS delivery organization. • Develop LLM-based agents, skills, tool-calling workflows, orchestration logic, backend services, APIs, data pipelines, and automation features as part of NVIS Central. • Translate field, delivery, operations, and product needs into clear technical builds, agent workflows, and working software. • Develop agents that can reason across project data, knowledge bases, operational systems, logs, reports, and delivery workflows. • Build workflows that help NVIS teams identify risks, summarize project status, automate repetitive tasks, improve readiness visibility, and simplify handoffs. • Work with timely engineering, retrieval-augmented generation, context management, agent memory, function calling, evaluations, and guardrails to build reliable AI systems. • Integrate LLMs and agents with internal systems, project data sources, knowledge repositories, reporting tools, and operational workflows. • Collaborate closely with software developers, architects, product managers, DevOps/SRE, and NVIS field teams to successfully implement reliable and scalable solutions. • Contribute to engineering guidelines, including code quality, testing, CI/CD, observability, documentation, security, and production support. What we need to see: • B.Sc. degree or equivalent experience in Computer Science, Computer Engineering, or a related technical field. • 2+ years of hands-on software development experience building production applications, platforms, automation tools, or AI-based systems. • Strong programming experience with Python and modern backend development. • Hands-on experience working with LLMs, agentic workflows, timely composition, tool/function calling, RAG, and AI application development. • Experience crafting and implementing RESTful APIs, data services, workflow automation, and integrations with enterprise systems. • Experience building reliable software around non-deterministic AI systems, including testing, evaluation, monitoring, and failure handling. • Experience with Docker, Kubernetes, CI/CD, Git, observability, and cloud-native development practices. • Background with SQL and NoSQL databases, data modeling, querying, indexing, and data integration. • Excellent problem-solving skills, ownership attitude, and ability to operate in a fast paced, cross-functional environment. Ways to stand out from the crowd: • Experience building agent platforms, copilots, multi-agent systems, tool-calling workflows, evaluation frameworks, or MCP-style integrations. • Deep understanding of LLM application patterns such as context engineering, retrieval quality, timely/version management, agent planning, human-in-the-loop workflows, and AI safety guardrails. • Experience with AI infrastructure, HPC clusters, NVIDIA DGX systems, SuperPOD, Spectrum-X, Ethernet, InfiniBand, Kubernetes, or SLURM. • Experience in automating workflows related to field, delivery, operations, or professional services. • Strong Linux, networking, security, SRE, or distributed systems background.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role This position sits within Nebius Token Factory, our serverless platform for running and customizing open-source LLMs in production. Token Factory allows for serverless inference and fine-tuning (LoRA, full FT, RFT) backed by in-house optimizations like custom speculative decoding, quantization, cache-aware routing and dedicated endpoints. Customers come to us to move from prototype to scaled production without the cost and complexity of building and tuning their own inference stack. We seek an experienced Senior ML Solutions Architect to support customers leveraging Nebius Token Factory's serverless inference and fine-tuning platforms for open-source LLMs across multiple modalities. In this role, you will be collaborating with clients to design and implement optimized inference workflows, build customized LLM-based solutions and architect scalable AI applications using our served models. You will also work closely with our backend team to improve our platform to match clients' needs. You’re welcome to work from Tel Aviv, Israel. Your responsibilities will include: • Optimize LLM inference across various modalities to drive business value and support customer goals • Provide support in supervised and reinforcement learning fine-tuning to maximize model quality for the customers • Design and implement LLM-based solutions using Nebius Token Factory’s inference services • Build production-ready applications leveraging our serverless LLM APIs, including multimodal models (text, vision, audio) and domain-specific models • Provide technical expertise in prompt engineering, RAG architectures and model selection • Collaborate with product and engineering teams to surface customer feedback and shape the platform roadmap • Guide customers in scaling from POC to production with a focus on performance, reliability, and cost efficiency We expect you to have: • 5+ years of experience in ML/AI systems, with at least 2 years focused on LLMs and generative AI • Deep knowledge of the LLM ecosystem, including model architectures and fine-tuning approaches • Hands-on experience with: • Running LLMs in production: deploying and operating inference workloads • LLM fine-tuning, including supervised fine-tuning (SFT/LoRA) and data preparation/curation; experience with RL-based fine-tuning is a strong plus • LLM evaluation: building task-specific benchmarks and offline/online eval pipelines, including LLM-as-a-judge setups • Inference frameworks and libraries (e.g., vLLM, SGLang, TensorRT-LLM, Transformers) • Deploying LLM-powered applications using APIs from OpenAI, Anthropic, or open-source models • Strong Python programming skills • Excellent communication skills, with the ability to clearly explain technical concepts to diverse audiences It would be an added bonus if you have: • Work with multimodal AI models (e.g., vision-language, speech) • Proficiency with DevOps tools (Docker, Kubernetes) • Contributions to open-source ML/AI projects Preferred technical stack: • Programming Languages: Python • ML Frameworks and Libraries: vLLM, TensorRT-LLM, SGLang, Transformers, OpenAI/Anthropic SDKs • MLOps and DevOps tools: Kubernetes (K8s), Docker, Git • Cloud Platforms: AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML) #LI-DK1 Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

We Are Teva We’re Teva, a leading innovative biopharmaceutical company, enabled by a world-class generics business. Whether it’s innovating in the fields of neuroscience and immunology or delivering high-quality medicine worldwide, we’re dedicated to addressing patients’ needs now and in the future. Here, you will be part of a high-performing, inclusive culture that values fresh thinking and collaboration. You'll have the room to grow, the flexibility to balance life with work, and the opportunity to better health worldwide, together. Our Team, Your Impact DADAI (Data, Analytics, Digital & AI Delivery) is building a next generation enterprise delivery engine that turns the company’s biggest opportunities into measurable outcomes using data products, digital automation and applied AI. The ambition is to combine startup pace with enterprise discipline: product thinking, predictable delivery at scale, strong engineering standards, and clear architecture, security and quality gates that enable speed without compromising control. DADAI has been shaped as an enterprise “factory”, 200+ engineers, designed to absorb significant demand across multiple global domains, industrializing the path from idea to production and continuous improvement while scaling through strategic partners and still preserving internal knowledge and ownership. This is a rare opportunity to join a new leadership organization and to help set how the Teva will use data, analytics and AI to modernize decision making, automate critical processes, and accelerate innovation across core functions and value chains. The Role We are seeking a highly hands-on senior architect to lead solution design across enterprise data, analytics, and AI initiatives in a Microsoft-first environment. This role is responsible for translating business requirements into secure, scalable, supportable architectures and guiding delivery teams through design, prototyping, implementation, reviews, and production readiness. The ideal candidate combines strong architecture leadership with proven hands-on depth in Power BI, Azure data platforms, and enterprise AI enablement. How You’ll Spend Your Day • Own end-to-end solution architecture for data, analytics, and AI use cases, with accountability for design quality, security, scalability, supportability, and cost. • Translate business needs into practical technical designs, target architectures, integration patterns, and delivery-ready implementation guidance. • Lead by example through hands-on prototyping, architecture reviews, troubleshooting, code/design reviews, and technical support for delivery teams. • Ensure security, governance, compliance, and operational readiness are built into solutions from design through production deployment. Your Skills and Experience • Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field. • 15+ years of IT experience, including 10+ years in senior solution architecture roles for enterprise data, analytics, and AI platforms. • 2+ Years experience in hands-on delivery of with Microsoft-first AI platforms and services such as Azure OpenAI, Azure AI Foundry, Copilot Studio, Azure AI Search, Semantic Kernel, Prompt Flow, and enterprise AI governance patterns. • 7+ years strong hands-on experience with Azure-based data platforms, including Azure Data Factory, Databricks, data lake architectures, SQL, and dimensional data modeling, with the ability to build practical end-to-end solution designs. • Proven ability to own solution architecture end to end: shape target designs, validate them through prototyping or proof of concept where needed, guide delivery teams through implementation, and provide technical oversight through design reviews, code reviews, and production readiness checks. • Strong experience with enterprise security, governance, and compliance, and the ability to work effectively with enterprise architects and guiding or regulatory functions to ensure solutions meet organizational standards and control requirements. • Excellent communication skills in English, with the ability to drive alignment across architects, delivery teams, business stakeholders, and enterprise control functions. Key Skills • Hands-on technical leadership with a clear lead-by-example mindset. • Strong architecture judgment across data, analytics, AI, integration, security, and non-functional requirements. • Ability to translate business problems into practical, delivery-ready technical solutions. • Strong troubleshooting, decision-making, estimation, and risk management capability. • Comfort working across distributed teams and external suppliers in enterprise delivery environments. Also Good to Have • Deep hands-on expertise in Power BI architecture, including semantic models, DAX, Power Query, workspace strategy, governance, performance optimization, and enterprise reporting patterns. • Experience with Microsoft Fabric, Power Platform governance, Azure DevOps, GitHub Enterprise, and CI/CD for analytics or AI solutions. • Experience with Microsoft security and governance services such as Microsoft Entra, Purview, and Key Vault. • Experience in life sciences, pharmaceuticals, or other regulated industries. • Relevant Microsoft certifications in Azure, Power BI, data, or AI architecture. Core Technology Stack Data platform: Azure Data Factory, Databricks, Azure data lake, SQL, dimensional modeling, ETL/ELT, orchestration. AI platform: Azure OpenAI, Azure AI Foundry, Azure AI Search, Copilot Studio, Semantic Kernel, Prompt Flow. Analytics: Power BI, semantic models, DAX, Power Query, Databricks, enterprise reporting and governance. Engineering and governance: Azure DevOps, GitHub Enterprise, CI/CD, Microsoft Entra, Purview, Key Vault. Optional / advantageous: Microsoft Fabric, Python, data observability and monitoring patterns. How We’ll Take Care of You At Teva, better health starts from within, and that includes you. From day one, you’ll be supported with benefits designed to help you thrive in and out of work. This includes generous annual leave, reward plans, flexible working schedules (dependent on role), access to tailored health support, and meaningful ways to give back to the community.  When it comes to your career, you’ll be encouraged to explore, evolve, and shape your path. Twist, our one-stop shop for career development platform, gives you access to a wide range of possibilities, from learning programs and short-term projects to opportunities for internal growth. Here, you’ll be part of a culture that empowers you to reach your goals and prioritize your wellbeing every step of the way.  Already Working @Teva? Make sure to apply through our internal career site on Twist—your one-stop shop for career development Teva’s Equal Employment Opportunity Commitment Teva Pharmaceuticals is committed to equal opportunity in employment. It is Teva's global policy that equal employment opportunity be provided without regard to age, race, creed, color, religion, sex, disability, pregnancy, medical condition, sexual orientation, gender identity or expression, ancestry, veteran status, national or ethnic origin or any other legally recognized status entitled to protection under applicable laws. We are committed to a diverse and inclusive workplace for all. If you are contacted for a job opportunity, please advise us of any accommodations needed to support you throughout the recruitment and selection process. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience.