Senior AI Solutions Engineer (Technical Specialist)

• Lead the technical design and architecture of AI solutions, including agents, assistants and automated workflows.
• Build AI agents and assistants using enterprise LLM platforms, integrating business systems and document retrieval.
• Develop AI-powered dashboards and natural-language interfaces to help business leaders explore data and identify trends.
• Build and maintain reusable AI skills and components.
• Work with Quality & Compliance teams to ensure AI solutions meet GxP and regulatory requirements.
• Establish testing frameworks and monitor AI accuracy, performance, cost and usage.
• Provide technical leadership and mentorship to engineers, establishing coding standards and development practices.
• Work closely with business teams, IT, Information Security and Data Governance to deliver secure, scalable AI solutions.

• Bachelor’s or advanced degree in Computer Science, Engineering, Data Science or a related field.
• Minimum 4 years’ experience in software, data or machine-learning engineering, including at least 2 years building LLM-based applications or AI agents used in production.
• Expert Python skills, including FastAPI, Pydantic, pandas and pytest.
• Solid R knowledge and experience building and deploying R Shiny applications.
• Hands-on experience with LLM APIs, such as Anthropic Claude or OpenAI.
• Strong knowledge of AI agents, RAG, vector search, tool calling and frameworks such as LangGraph, CrewAI or AutoGen.
• Advanced SQL, Snowflake and REST API integration experience.
• Experience with Git, CI/CD, Docker and AWS.
• Understanding of GxP, computer system validation, data privacy and AI governance.
• Strong technical leadership, project management and communication skills.

Desirable Experience:

• Master’s or PhD in Computer Science, AI or a related field.
• Experience with AI services within cloud data warehouses.
• Knowledge of AI security, permissions and protection against prompt injection.
• Experience with regulated enterprise systems or pharmaceutical R&D.
• Knowledge of machine learning tools such as scikit-learn.
• A GitHub profile or portfolio demonstrating relevant work.

• Hybrid working
• Free, on-site parking
• 25 days holiday + bank holidays