AI Engineer

An exciting opportunity for a Senior AI Engineer/AI Solutions Architect to take ownership of a greenfield AI transformation project for an established business. Senior AI Engineer Greenfield AI Project | Agentic AI | LLMs | AWS | Python | RAG Location: Bolton/Hybrid Salar/Day Rate: Competitive, dependent on experience Opportunity: Lead the architecture and development of a brand-new enterprise AI platform The Opportunity I'm partnering with an established business embarking on an ambitious AI transformation project, and we're looking for an experienced Lead AI Engineer / AI Solutions Architect to help bring the vision to life.

This isn't about building another chatbot or implementing a handful of AI automations. The business wants to create its own internal "Second Brain" - a secure, intelligent AI platform that connects its existing systems, data, people and workflows through one central interface.

Imagine a platform where business leaders can ask questions about company performance, instruct AI to complete tasks, trigger existing automations and have specialist AI agents working collaboratively across departments.

The foundations are already there, with existing AI-powered workflows in operation. The next challenge is connecting everything together into one scalable, intelligent ecosystem. We're looking for someone who can take genuine ownership of the technical solution, from shaping the architecture and advising on the best approach through to hands-on development and delivery.

What You'll Be Doing Architecting and building a secure, scalable AI intelligence platform from the ground up. Designing agentic AI systems capable of understanding requests, orchestrating tasks and delegating work to specialist AI agents.

Developing a central AI interface that allows users to interact with business data, systems and workflows through natural language. Integrating LLMs with existing business applications, ERP/CRM platforms, APIs, databases and automation tools.

Building RAG capabilities to enable AI to securely retrieve and reason over internal company knowledge, documentation and operational data. Developing multi-agent orchestration, task routing and multi-intent processing capabilities.

Connecting and enhancing existing automations rather than unnecessarily rebuilding working solutions. Implementing human-in-the-loop approvals, role-based permissions, audit trails and appropriate AI governance. Designing persistent memory, context management and secure knowledge retrieval.

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