AI Technical Lead

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.

Location This role can be based in Israel (Tel Aviv), Germany (Ulm), India (Bangalore), Poland (Warsaw) or United Kingdom (Harlow).

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…