AI Automation/Application Engineer - Python/ R Shiny

AI Automation/Application Engineer - Python/ R Shiny

My global pharma company is looking for an experienced AI Automation/Application Engineer to join their Business Digital, Data & AI Infrastructure sub-function, which designs, builds and runs the data, digital and AI capabilities. You will work closely with business teams, IT & Architecture, Data Governance, Information Security and Quality & Compliance.

As an AI Automation / Application Engineer you are a hands-on builder of AI solutions, reporting to the Business Digital, Data & AI Infrastructure Lead. You turn business needs into working tools quickly: AI skills, agentified dashboards, process automations and data pipelines.

Essential Technical Skills

At least 3 years building data applications, automations or internal tools used by business teams.

Python: Strong Python for scripting, automation and data processing (pandas, requests, testing).

R and Shiny: Solid R and experience building and deploying Shiny applications.

SQL and APIs: Good SQL and experience integrating systems through REST APIs.

Generative AI: Practical experience building with LLM APIs or AI coding tools, including prompt design and structured outputs.

Ways of working: Git and version control; comfortable working iteratively with non-technical users and translating their needs into working tools.

You are a pragmatic, hands-on builder who enjoys turning everyday business problems into working tools.

You move fast, test with real users and care about code that others can maintain.Desirable Skills

Snowflake or another cloud data warehouse.

Building AI agents, agent skills or connectors to business systems.

Agent frameworks (e.g. LangGraph).

Business intelligence and data-preparation tools.

Deploying applications and scheduled jobs with containers (Docker) in a cloud environment (e.g. AWS).

Experience in pharmaceutical R&D or another regulated environment (GxP).

Education: Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems or a related field, or equivalent practical experience.

Key duties of the role

AI skills and agents: Build and maintain AI skills and agents that take on repetitive work - for example reports and presentations that assemble themselves, document checks and request-to-system workflows.

Agentified dashboards: Develop R Shiny (or Shiny for Python) applications with built-in AI assistants that explain trends, flag issues and answer questions.

Process automation: Automate manual, repetitive steps across business tools, documents and spreadsheets.

Human-in-the-loop automations: Build supervised automations and agents where people review and approve outputs before they are used.

Data pipelines and integrations: Build scheduled jobs that pull, clean, reconcile and combine data from business systems to create reliable insights.

Quality and documentation: Write tested, version-controlled code and clear documentation; produce validation evidence for regulated use cases with the Senior AI Solutions Engineer and Quality & Compliance.

Adoption and support: Run user testing with business teams, train users, gather feedback, iterate quickly and track usage and time saved.

Run and improve: Maintain live tools, fix issues and keep them working as source systems change.The role can be based Hybrid working out of Welwyn Garden City with a view to be on site ⅔ days a week. This is an excellent opportunity and I have interview slots ready to be filled so don't delay and apply ASAP to be considered.

Randstad Technologies is acting as an Employment Business in relation to this vacancy