AI Delivery Engineering Lead

Job Purpose 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 Lifecycle 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) Experience of working within a quality and compliance environment and application of policies, procedures and guidelines 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 Demonstrate strong cyber security awareness in the application of service and technology management 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 Experience of working within a quality and compliance environment and application of policies, procedures and guidelines 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. Date Posted 14-ene-2026 Closing Date 29-ene-2026 AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements. #J-18808-Ljbffr