Are you ready to turn enterprise AI into secure, scalable solutions that accelerate how life-changing medicines are discovered, developed, and delivered to patients? In this role, you will engineer practical GenAI capabilities that integrate seamlessly with the Microsoft Power Platform, enabling our colleagues to automate complex processes, make faster decisions, and unlock new insights.
You will build production-grade APIs and Python orchestration that bring services like Azure OpenAI, AWS Bedrock, and Google Vertex AI into day-to-day workflows across the business. Do you thrive at the intersection of cloud AI services and low-code platforms, translating complex needs into reliable products used by thousands? Backed by strong investment and a collaborative, experimentation-first culture, you will shape the way our teams use data and AI at scale.
GenAI Solution Architecture: Design end-to-end AI solutions using Azure OpenAI, AWS Bedrock, or Google Vertex AI to address high-value use cases across research, operations, and customer engagement, with clear measures of impact.
Power Platform Integration: Embed AI into PowerApps and Power Automate flows to streamline decision-making and automate multi-step processes, ensuring maintainability, governance, and effective use of Dataverse and Microsoft 365 ecosystems.
Backend Orchestration in Python: Build robust orchestration layers and reusable libraries that manage prompts, retrieval, evaluation, guardrails, and fallbacks; instrument services for observability, reliability, and performance.
API Engineering and Integration: Expose AI models as secure, scalable REST APIs and integrate with enterprise systems via connectors, events, and queues to deliver dependable, measurable outcomes.
Security, Compliance, and Cost Stewardship: Apply enterprise security and Responsible AI practices, optimize performance and cost, and ensure solutions meet production SLAs in a regulated environment.
Delivery and Collaborator Partnership: Partner with product owners and domain experts to shape requirements, prioritize roadmaps, and deliver increments that scale from pilot to global adoption.
Scaling and Operations: Establish CI/CD, automated testing, monitoring, and model lifecycle management to support continuous improvement and resilience in production.
Thought Leadership and Upskilling: Track advances in GenAI, NLP, and cloud AI; lead demos and collaborative sessions; mentor engineers and citizen developers to raise capability across the organization.
Design, develop, and deploy AI-powered solutions with Azure OpenAI, AWS Bedrock, or Google Vertex AI.
Build and maintain backend logic and orchestration scripts in Python.
Expose AI models as REST APIs or integrate them into enterprise systems.
Incorporate AI services into PowerApps or Power Automate flows.
Work with collaborators to identify business requirements and deliver scalable AI-based solutions.
Ensure solutions meet standards for security, performance, and cost-effectiveness.
Keep up to date with advancements in GenAI, NLP, and cloud-based AI technologies.
Hands-on experience with Microsoft Power Platform governance, ALM, and Dataverse, including solution packaging and environment strategies.
Practical knowledge of prompt engineering, retrieval-augmented generation, embeddings, and vector databases.
Experience implementing CI/CD for Power Platform and Python services using Azure DevOps or GitHub Actions.
Familiarity with Azure API Management and event-driven architectures (Event Hubs, Service Bus, Kafka).
Observability in production using tools such as Application Insights, OpenTelemetry, CloudWatch, or Stackdriver, including guardrail and drift monitoring for AI services.
Containerization and serverless compute (Docker, Kubernetes, Azure Functions, AWS Lambda, or Cloud Run).
Understanding of data privacy, security, and responsible AI practices in regulated environments, ideally healthcare or life sciences.
Strong communication skills with the ability to translate complex AI concepts for non-technical partners and drive adoption.
When we put unexpected teams in the same room, we fuel bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.
Here, your engineering will directly amplify scientific innovation and patient impact. We bring unexpected teams together to unlock bold thinking, and we pair that energy with access to innovative cloud AI, modern engineering practices, and the backing to move from prototype to global scale. You will learn fast through experimentation and community events, collaborate across fields to solve problems that matter, and help define how a data-led enterprise delivers digital healthcare—valuing kindness alongside ambition as we push the boundaries of what technology can do for patients.
If you are ready to lead at the intersection of GenAI and the Power Platform and see your work make a tangible difference for patients, send your application today and help shape what comes next.
Date Posted
17-Mar-2026Closing Date
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.