AstraZeneca

pharma

SeniorAIEngineer

Cambridge, United Kingdom FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior AI Engineer at AstraZeneca. Skills: AI, LLMs, Production Software Engineering, Agentic AI Development. Design agentic workflows. Build RAG pipelines”

What You'll Achieve.

Deliver deterministic, auditable outcomes; Ground LLM outputs; Improve factuality; Reduce hallucinations; Ensure consistent performance; Meet critical software standards; Sustain performance at scale; Create business value; Balance security, performance and maintainability; Keep solutions robust and competitive; Accelerate how we discover, develop and deliver medicines; Turn scattered data into dependable systems; Deliver end-to-end solutions; Make demos production-grade; Bring latest techniques into real-world use; Unlock potential of our science; Streamline how we work; Bring medicines to people faster; Turn pioneering ideas into real-world impact

Industry & Context.

pharma
Problems you'll solve

Problem-solving; Translate ambiguous business problems into specs

What They're Looking For.

Must Have

Advanced University degree in mathematics, computer science or another relevant numerical/computational subject, Deep and validated AI foundations, Hands-on experience designing and shipping production-grade systems built around LLMs, Practical experience with modern agent-integration patterns, Demonstrated ability to deliver production-grade software using AI coding assistants, Excellent evaluation skills, Python, Excellent problem-solving, collaboration and communication, Experience with Kubernetes and cloud platforms (Azure and/or AWS), CI/CD, and LLM observability

Nice to Have

PhD or equivalent experience desirable, Experience training, fine-tuning or distilling models, Familiarity with managed-LLM platforms, End-to-end software life cycle, Full-stack delivery experience, Interest in working on real-world enterprise problems in a research-driven pharma or life-sciences

What You'll Do.

Design agentic workflows

Establish evaluation datasets

Translate prototypes into services

Integrate with cloud platforms

Work with subject-matter experts

Apply inference patterns

How You'll Work.

Team & Collaboration

Partner closely with authorities; Partner Teamwork; Collaborate with subject-matter experts; Collaborate with product owners; Communicate trade-offs; Land solutions; Unexpected teams come together

Communication Scope

Communicate trade-offs; Communicate results to senior stakeholders

Full Job Description

**Senior AI Engineer** **Forward Deployed AI, Enterprise AI Unit. Cambridge, UK** **Competitive salary and benefits** Are you ready to turn ambiguous enterprise challenges into credible, production AI that moves the needle for patients and the business? Do you want to ship agentic and retrieval-augmented systems that colleagues rely on every day? Join our forward-deployed AI engineering team within a newly created enterprise unit in Cambridge, where your work will help accelerate how we discover, develop and deliver medicines. You will be part of a hands-on group that builds with AI and ships AI. We convert scattered data and unstructured knowledge into dependable systems with measurable outcomes. In this role, you will design and deliver end-to-end solutions, lead the rigor that makes demos production-grade, and partner closely with authorities across the company to bring the latest techniques into real-world use. Based in Cambridge with a competitive salary and benefits, you will have the autonomy to craft solutions from prototype to deployed service, backed by strong platforms, clear sponsorship and a culture that values both ambition and disciplined engineering. **Accountabilities:** * Agentic AI Development: Design, implement and iterate agentic workflows that orchestrate tools, sub-agents and multi-step reasoning to deliver deterministic, auditable outcomes to business users. * Retrieval-Augmented Systems: Build robust RAG pipelines and context engineering strategies that ground LLM outputs in enterprise knowledge, improve factuality and reduce hallucinations. * Evaluation and Quality: Establish ground-truth datasets, LLM-as-judge and rule-based evals, and regression suites that separate signal from prompt noise and ensure consistent performance over time. * Production Software Engineering: Translate prototypes into reliable services with structured outputs, clear interfaces, packaging, testing and traceability that meet critical software standards. * Platform

Free ATS check

Applying for this Senior AI Engineer role?

Most applicants get filtered before a human reads their resume. See if yours makes the cut.

How to Apply on Workday

  • Workday has a multi-step form — save your progress after every section.
  • "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
  • Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
  • Job requisition numbers are useful when following up with HR by email.

ANONYMOUS · UNFILTERED

What do employees actually say about AstraZeneca?

Real rants from real employees. Read before you apply.

Read Company Rants →