In this role, you will lead the technical delivery of enterprise AI systems on a Microsoft-first stack, shaping AI capabilities across Teva’s digital and data platforms. You’ll work with cross-functional teams to design, build, and operate production-grade AI solutions that scale globally while enforcing governance, security, and Responsible AI practices. Your leadership will blend hands-on engineering with strategic direction to accelerate innovation and modernize decision making.
Pay / Benefits
generous annual leave
reward plans
flexible working schedules
tailored health support
career development via Twist
internal growth opportunities
Responsibilities
Own AI engineering activities within the DADAI delivery factory
Lead design, build, and operation of enterprise AI solutions on Azure-based stack
Remain hands-on: review architecture, build POC, troubleshoot, guide production hardening
Define and enforce engineering standards for AI delivery (security, privacy, Responsible AI)
Collaborate with architects, platform security, and governance teams to ensure scalable, compliant AI solutions
Ensure AI solutions are aligned to business needs across regions and delivery models
Key requirements
7+ years leading large engineering teams in enterprise environments
10+ years software engineering experience in modern Microsoft cloud environments
2+ years delivering complex GenAI/agentic solutions on Microsoft tech (Azure OpenAI, Azure AI Foundry, Copilot Studio, RAG)
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