AI Engineer

We’re looking for an experienced AI Engineer to join a specialist Databricks delivery team on a high-profile agentic AI engagement. You’ll sit alongside a Business Analyst, Solution Architect and Data Engineer, leading a well-established client through the deployment of a multi-agent AI solution built natively on Databricks.

This is a hands-on consulting role: refining an already-scoped solution design, building and pairing directly with the client’s engineers, and coaching their team so they can confidently take the solution forward. There’s a strong chance to extend into a second, machine-learning-focused phase of the engagement for the right candidate., * Refine and finalise the design of a multi-agent solution on Databricks

• Lead hands-on delivery - building, testing and deploying agentic AI workflows
• Pair-program and hand-hold the client’s engineering team through implementation
• Instruct and guide client engineers, then review and feedback on their work
• Apply strong governance practices using Unity Catalog and AI Gateway

• Proven experience building AI agents on Databricks - multi-agent solutions strongly preferred
• Hands-on MLflow experience, including model registry
• Unity Catalog and AI Gateway (or equivalent governance tooling)
• Strong general Databricks knowledge - compute management, logging and monitoring
• Strong Python and PySpark
• Excellent consulting skills - communication, people leadership and technical advisory, with the confidence to lead a client’s team through a technical journey

Desirable

• Machine learning / MLOps experience - useful if the engagement extends into its ML-focused second phase
• API management experience

What Makes a Great Fit

• A genuine consulting mindset - confident bringing a client’s team along with you, not just delivering in isolation
• Manchester-based or a comfortable commute - travel and expenses are covered for on-site days