Ai Delivery Engineering Lead (Guadalajara)

Lead technical design, integration and delivery of Agentic AI solutions and platforms (pro-dev and citizen-assisted), ensuring performance, resilience, and safety by design across managed environments.

Typical Accountabilities

• Provide pro-dev and cit-dev advisory & delivery capability for Agentic AI; partner with solution creators to design, build and release secure, scalable agents.
• Oversee safe enablement of low-code/no-code AI development, establishing guardrails, Software Development Lifecyle patterns, and integration templates.
• Provide citizen development advice & support to expedite solution delivery and adoption (frameworks, blueprints, shared components).
• Accelerate time-to-value through reusable patterns (retrieval, action, orchestration, human-in-the-loop) and Continuous Integration and Continuous Delivery/Deployment of agents through the use and development of automated processes.
• Project assurance for major change initiatives; serve as design authority for agentic architectures and integrations.
• Implement risk-tiered governance for agents in alignment with AZ’s Governance AI Funnel.
• Develops technical expertise and shares knowledge as required with project and service teams working on the development, implementation, maintenance, and improvement of Enterprise IT Management AI solutions.

Education, Qualifications, Skills and Experience

Essential

• Deep knowledge of Copilot Studio, Agent Builder, Power Platform, Azure AI; pipeline & observability for AI apps (or equivalent enterprise environments).
• Experience operationalizing citizen development at scale (environments, DLP, connectors, telemetry)
• Excellent communication, facilitation, and stakeholder engagement skills.
• Familiarity of working in an international, multi-time zone support environment.
• Good communication skills supporting joint working with geographically remote colleagues
• Ability to interpret and communicate technical information into business language

Desirable

• Systems architecture for multi-agent or automation platforms; secure integration with enterprise APIs/tools.
• Prior design authority for AI/automation programs; experience with model safety and prompt-injection defenses.
• Well versed in ITIL Service Management practices and process
• Background in large-scale enterprise or regulated environments
• Demonstrate initiative, strong customer orientation, and cross-cultural working

Why Join Us?

This is your opportunity to shape the engineering backbone of Democratized Agentic AI at AstraZeneca. If you thrive on solving complex technical challenges and enabling safe, scalable AI solutions to deliver exponential business value at pace, this is your role.