Role details
Build and ship production AI agents on top of enterprise data platforms, with a backlog of 30+ use cases already identified and waiting.
You'll take priority AI use cases from concept through to production, covering agents on enterprise data, ERP automation, and B2B data preparation. You'll also build the reusable frameworks that make future delivery faster, and run monthly knowledge-sharing sessions to lift AI capability across the business.
This is a contract role where you'll spend meaningful time doing actual engineering, not just advising. The stack centres on Python, LangChain, LangGraph, Amazon Bedrock, and AWS. You'll work with agent-based architectures, RAG pipelines, and LLM orchestration, building things that go into production and stay there. The work spans API development, enterprise data platform integration, and Model Context Protocol.
The backlog is real and already prioritised. You won't be starting from scratch trying to convince a business that AI is worth doing. The case is made, the use cases are scoped, and they need someone who can build. You'll also act as the link between local delivery and central AI teams, which means your work feeds into enterprise-wide standards rather than sitting in a silo.
What You'll Do
- Design, build, and deploy production-grade AI agents and automation solutions across ERP and B2B data use cases.
- Develop reusable frameworks, components, and accelerators to speed up delivery of future AI use cases.
- Run workshops, training sessions, and monthly knowledge-sharing forums to grow AI capability across business teams.
- Translate business requirements into working technical solutions, coaching users on tools like Copilot Studio and GitHub Copilot.
What You'll Need
- Python and hands-on experience building and deploying AI agents and intelligent applications in production.
- Solid grounding in RAG, agent-based architectures, LLM orchestration frameworks, and prompt engineering.
- Experience with AWS, Amazon Bedrock, LangChain, and LangGraph is highly desirable.
- Demonstrated ability to work directly with business stakeholders and deliver capability uplift through training or workshops.
About the Company
They're a large enterprise with a serious AI programme underway and a clear mandate to deliver. With 30+ use cases already in the backlog and enterprise data platforms in place, the environment is structured enough to move fast and mature enough to build things that last.
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