AI Engineer

Primus Connect; Manchester; Hybrid; GBP 129,000 - 185,000; Full time

Job summary

Primus Connect is seeking an experienced AI Engineer to join a Databricks delivery team on a multi-agent AI engagement. You will refine the solution design and work hands-on with the client's engineers to deploy agentic workflows.

The role demands strong Python/PySpark, MLflow, and governance tooling experience, with potential extension into a ML-focused second phase. Manchester-based with hybrid on-site days and a 10-week contract.

Qualifications

• Hands-on Databricks delivery and multi-agent AI solution design.

Responsibilities

• Refine and finalize 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 governance using Unity Catalog and AI Gateway.
• Proven experience building AI agents on Databricks – multi-agent solutions preferred.
• Hands-on MLflow experience, including model registry.
• Unity Catalog and AI Gateway governance tooling.
• Strong Databricks knowledge – compute management, logging and monitoring.
• Strong Python and PySpark.
• Excellent consulting skills – communication, people leadership and technical advisory.
• Machine learning / MLOps experience – useful if the engagement extends into its ML-focused second phase

Skills

Databricks

Python

PySpark

MLflow

Unity Catalog

AIGateway

Governance

Consulting

Client leadership

Model deployment

Tools

Databricks platform

MLflow

Unity Catalog

AI Gateway

Job description

AI Engineer (Agentic AI / Databricks) Outside IR35 Contract – Databricks Specialist

Contract length: 10 weeks initially, 3 day a week engagement with a strong likelihood of extension

Start date: ASAP – early October

Location: Manchester – Hybrid

About the Role

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.

Key Responsibilities

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

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