First-class IT Recruitment Solutions

• Own the technical direction of the Salesforce platform, making sure solutions are built to scale, remain secure, and are easy to support long-term.
• Work closely with senior leaders across teams to ensure Salesforce evolves in line with wider business priorities.
• Take the lead on designing and delivering major Salesforce enhancements that improve internal processes and day-to-day efficiency.
• Define and promote strong engineering standards across the Salesforce environment, covering build quality, platform governance, and technical consistency.
• Support and upskill other Salesforce engineers through coaching, guidance, and hands-on technical leadership.
• Spot risks early around performance, reliability, and platform limitations and put preventative improvements in place before they become issues.
• Build and support integrations between Salesforce and other key systems, ensuring smooth data flow, stability, and accuracy.

• Significant experience in Salesforce engineering, with a strong track record delivering complex builds in enterprise-scale environments.
• Strong hands-on expertise across Sales Cloud, Service Cloud, and Data Cloud, including Flows, Apex, Lightning Components, and SOQL.
• Strong hands-on development background across core Salesforce technologies, including automation, custom development, and modern UI components.
• Proven ability to take ownership of technical delivery from early discovery through to implementation, stakeholder alignment, and successful outcomes.
• Experience delivering integrations across multiple platforms, using APIs and integration patterns that prioritise security and reliability.
• Able to connect technical decisions to business outcomes, shaping solutions that deliver measurable value rather than “just features.”
• Confident operating as a technical leader: influencing best practice, supporting others, and improving ways of working across teams.

• Salesforce architecture-level certification(s) preferred
• Exposure to the CTA pathway or working toward CTA is a strong advantage

• Review and analyse a large volume of automotive product references
• Identify and correct:
• Duplicate references
• Missing, inconsistent, or inaccurate data
• Incomplete product information (photos, attributes, references, etc.)

Senior AI Engineer - Agentic & Generative AI (Contract)

Location: Hybrid (UK - occasional travel to client sites)

Engagement: Contract

Duration: Initial 6-12 months

Outlook: Multi-year programme with strong extension potential

IR35: Mix of Outside & Inside (client dependent)

Hiring: Multiple roles (enterprise scale)

Overview

We're recruiting experienced Senior AI Engineers to support a large-scale enterprise Generative AI and Agentic AI programme.

This is production delivery, not experimentation. You'll be building and deploying LLM-powered systems, autonomous agents, and enterprise copilots that are actively used across complex organisations.

The programme is multi-client, long-term funded, and designed to scale.

Key Responsibilities

• Design and deliver Agentic AI solutions aligned to real business workflows
• Build and orchestrate autonomous agents with planning, reasoning, and tool use
• Develop LLM-driven systems including RAG, Q&A, and enterprise copilots
• Integrate GenAI into existing platforms, products, and processes
• Own delivery end-to-end: design through to production
• Work closely with architects, product owners, and senior stakeholders

Skills & Experience

• Strong hands-on experience with Generative AI and LLMs
• Agentic AI frameworks such as LangGraph, AutoGen, or CrewAI
• Python with modern AI libraries (LangChain, Hugging Face, PyTorch)
• Experience building RAG pipelines and knowledge retrieval systems
• Cloud platforms: Azure, AWS, or GCP

Microsoft / Azure (Highly Desirable)

• Microsoft AI Foundry
• Azure AI Agent Service
• Microsoft Copilot Studio (custom agents and integrations)
• Azure AI Search, Azure Container Apps / AKS / Functions
• Enterprise AI governance and lifecycle tooling