Consultant (AI Delivery and Advisory)
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Role details
Tech stack
Job description
We’re looking for a hands-on consultant with genuine AI depth to own delivery engagements end to end and act as a trusted technical advisor to our clients. You’ll take work from discovery and solution design through to production-grade implementation.
Two things set this role apart: You’re the bridge between deep technical AI and commercial value, so you’ll translate trade-offs for non-technical stakeholders as much as you’ll build.
You add hands-on delivery and engineering depth alongside our governance and assurance capability, complementing it rather than duplicating it.
There’s no fixed playbook here. AI projects rarely go to plan, so you’ll need to make sensible judgements with incomplete information and keep things moving when the picture isn’t yet clear. What You’ll Be Doing Own AI delivery engagements end to end, from discovery and solution design through to production-grade implementation.
Act as the trusted client advisor on AI strategy, feasibility and practical trade-offs, honest about what will and will not work.
Translate complex AI into clear business value for varied, often non-technical, audiences.
Build prototypes, integrate AI into existing systems, and run workshops that help clients understand what current AI can and cannot do., You’ll thrive here if you’re pragmatic, curious and comfortable with ambiguity. You take initiative without being prompted and can make sensible calls with incomplete information. You measure success by client outcomes, not technical sophistication, and you’re honest about what AI can and cannot do. You’re genuinely curious about AI, confident in your views, and open to changing them. What We Offer Flexible and autonomous: a remote-first role with the trust and space to manage your own time.
Interesting work: hands-on AI delivery for clients navigating one of the most significant technological shifts of our generation.
Requirements
Genuine AI depth, ideally grounded in an engineering or data science background. Not surface-level familiarity.
Around 10 to 15 years of experience, on a route that began in engineering or delivery and grew into advisory or consulting.
Strong end-to-end delivery experience in client or real-world environments where requirements evolve.
A solid technical foundation across software development, data systems, APIs and cloud platforms, able to read code and understand system architecture.
Proven ability to translate technical detail into business value for different audiences.
Excellent written and spoken communication, and the ability to build trusted client relationships, honest about uncertainty.
Confident, well-formed opinions held with flexibility, plus enthusiasm for automation and agile ways of working.
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