AI Technical Lead

Teva Pharmaceuticals; Hare Street; On-site; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Generous annual leave

Tailored health support

Twist career development platform

Flexible working schedules

Job summary

Teva Pharmaceuticals seeks an AI Technical Lead to own production-grade AI systems across enterprise environments. You will set engineering direction, lead hands-on design, and drive scalable, compliant AI platforms on a Microsoft-first stack including Azure OpenAI and Copilot Studio.

Partner with security, privacy, and governance teams to enable auditable AI across regions and delivery models. You'll manage senior engineering teams, deliver GenAI and agentic solutions, and ensure robust

Qualifications

• Extensive experience leading enterprise AI engineering in a Microsoft cloud stack.
• Strong hands-on delivery with architecture review and PoCs.
• Proven ability to drive governance, security, and Responsible AI in regulated settings.

Responsibilities

• Lead design, build, and operation of enterprise AI solutions on Microsoft cloud stack.
• Review architecture and code, troubleshoot, and guide production hardening.
• Define engineering standards for AI delivery, monitoring, and security.
• Collaborate with architects, platform teams, and security to ensure scalable, compliant AI solutions.
• Oversee SDLC tooling: Azure DevOps, GitHub, ML workflows, observability.

Skills

Hands-on leader

Problem solving

Business-to-technical translation

AI SDLC knowledge

Cross-functional communication

Education

BSc/BA in Computer Science or related field

Tools

Azure OpenAI

Azure AI Foundry

Copilot Studio

Semantic Kernel

Prompt Flow

Azure Functions

AKS

API Management

Entra

CI/CD

Job description

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., 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

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.

• 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.

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.

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.