AI Technical Lead

We Are Teva

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

The AI Technical Lead owns the technical delivery of production-grade AI systems across enterprise digital, data, and analytics environments. This role sets engineering direction and provides strong hands-on leadership to design, build, deploy, and operate enterprise AI capabilities on a Microsoft-first stack, including agentic systems, generative AI applications, AI-enabled automation, and ML-powered platforms, ensuring consistent standards, quality, governance, security, and reliable global operations.

Partners with enterprise architecture, security, privacy, legal, and central AI/data governance teams to enable delivery teams (internal and external partners) to build scalable, compliant, and auditable AI solutions across regions, cloud environments, and delivery models

How You’ll Spend Your Day

•    Accountable for all AI engineering activities with in the DADAI delivery factory.
•    Lead the design, build, and operation of enterprise AI solutions on a Microsoft-first stack, including Azure OpenAI, Azure AI Foundry, Copilot Studio, Semantic Kernel, and Azure services.
•    Remain highly hands-on: review architecture and code, build proofs of concept, troubleshoot complex issues, and guide implementation teams through production hardening.
•    Define and enforce engineering standards for AI delivery, including evaluation, monitoring, release controls, security, privacy, and Responsible AI practices in regulated environments.
•    Work across architects, platform teams, security, and delivery stakeholders to ensure AI solutions are scalable, supportable, compliant, and aligned to business needs.

Your Skills and Experience

• 7+ years of proven experience leading and developing large (20+) engineering teams, including direct people management responsibilities, coaching, performance management, career development, and hiring in a complex enterprise environment.


• 10+ years in software engineering, including senior hands-on design and delivery of applications and API in a modern Microsoft cloud environment.


•  2+ delivering complex enterprise production GenAI and agentic solutions on Microsoft technologies such as Azure OpenAI, Azure AI Foundry, Copilot Studio, RAG, and evaluation workflows.


• Strong Azure engineering background, including Azure Functions, App Services, AKS, API Management, Entra, CI/CD, monitoring, and production support.


• 10+ years Hands-on technical leadership with proven ability to build POCs, MVPs and production applications, review code and architecture, troubleshoot production issues, and lead implementation teams by example.


• 5+ years of experience working in enterprise or regulated environments with strong security, privacy, governance, and Responsible AI controls.


• Strong communication and stakeholder management skills across architecture, security, delivery, and business teams.


• BSc/BA in Computer Science, Software Engineering, Information Systems, or equivalent experience; relevant Azure or AI certifications are a plus.

Key Skills

• Hands-on builder and technical leader who can design, prototype, review, and unblock complex AI implementations.


• Strong problem-solving across prompts, models, retrieval, orchestration, runtime behavior, performance, and cost.


• Ability to translate business needs into practical technical solutions, delivery plans, and engineering trade-offs.


• Practical understanding of AI SDLC, evaluation, monitoring, rollback, and operational readiness for production systems.


• Clear communication and strong collaboration in cross-functional, global delivery environments.

Core Technology Stack

• AI platforms: Azure OpenAI, Azure AI Foundry, Copilot Studio, Semantic Kernel, Prompt Flow


• Azure engineering: Azure Functions, App Services, AKS, API Management, Logic Apps, Event Grid, Service Bus


• Engineering and SDLC: Azure DevOps, GitHub Enterprise, Azure Machine Learning, CI/CD, evaluation pipelines, observability


• Security and governance: Microsoft Entra, Purview, Key Vault, Defender, Azure Policy


• Data and analytics: Azure AI Search, Microsoft Fabric, Azure Data Factory, Power BI, SQL

How We’ll Take Care of You

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