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AI Engineer / Senior AI EngineerAstraZeneca · 2 Locations
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AstraZeneca

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AI Engineer / Senior AI Engineer

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🗓️ Posted 2026-09-10 2 Locations Full-time Hybrid ICT
💰 Salary Not shared 📊 Market 4,583 GBP–9,166 GBP/mo

About the Company

We're transforming the future of healthcare by unlocking the power of what science can do for people, society and the planet. For more information, visit www.astrazeneca.com. Community Guidelines: bit.ly/2MgAcio Pharmaceutical Manufacturing Specialties: Pharmaceutical, Biopharmaceutical, Innovation, Research and development, Global business

About the Role

We are seeking AI Engineers to join the Data Science team to design, build, and deploy GenAI and Agentic AI solutions for cancer research, biometrics, clinical research, and broader R&D workflows. The role will work closely with data scientists, data integration engineers, and scientific stakeholders to translate complex research needs into practical AI enabled systems, and for senior candidates will also involve leading technical design, guiding solution architecture, mentoring junior team members, and helping move high value AI use cases from prototype toward production.

Responsibilities

  • ● Design, develop, and deploy GenAI and Agentic AI solutions for scientific research, biometrics, clinical trial, and oncology related workflows.
  • ● Build LLM powered applications using techniques such as prompt engineering, tool use, structured output generation, RAG, and agentic workflow orchestration.
  • ● Integrate AI solutions with existing data platforms, databases, APIs, and enterprise systems.
  • ● Collaborate with scientific, clinical, and data stakeholders to understand user needs and translate them into clear technical solutions.
  • ● Develop prototypes and MVPs, evaluate their performance, and iterate based on user feedback and business value.
  • ● Support appropriate documentation, testing, traceability, and human oversight for AI solutions in a regulated R&D environment.
  • ● Stay current with emerging GenAI and Agentic AI technologies and assess their applicability to real world R&D use cases.
  • ● Lead technical design decisions, guide architecture choices, mentor junior engineers, and support the transition of selected solutions toward production (senior level).

Requirements

  • ● Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Bioinformatics, Statistics, Applied Mathematics, or a related field.
  • ● 1-3 years of experience in software engineering, data science, machine learning, AI application development, or bioinformatics.
  • ● Hands on experience with Python and practical exposure to LLMs, data pipelines, APIs, or AI enabled applications.
  • ● Strong willingness to learn and apply emerging GenAI technologies in scientific or healthcare related settings.
  • ● 5+ years of experience in AI, machine learning, data science, software engineering, or related fields.
  • ● Proven experience delivering AI/ML, GenAI, or data driven solutions in real world business, research, or enterprise environments.
  • ● Experience leading technical design, making architecture decisions, and guiding projects from problem definition to prototype, evaluation, and deployment.
  • ● Ability to mentor junior engineers and collaborate effectively across data science, engineering, and domain expert teams.
  • ● Strong Python programming skills for AI application development, data processing, and workflow automation.
  • ● Hands on experience with LLM based applications, including prompt engineering, structured outputs, tool use, or agentic workflows.
  • ● Experience with RAG architectures, embeddings, vector databases, document processing, or knowledge retrieval systems.
  • ● Familiarity with Agentic AI frameworks such as LangChain, LangGraph, Pydantic AI, CrewAI, or similar tools.
  • ● Experience working with REST APIs, SQL databases, and data integration workflows.
  • ● Understanding of software engineering best practices, including version control, testing, documentation, and code quality.