AI Product & Delivery Lead

Addition
London, United Kingdom
Today
£95,000 – £115,000 pa

Salary

£95,000 – £115,000 pa

Job Type
Permanent
Work Location
Hybrid
Seniority
Lead
Education
Degree
Posted
25 Sep 2026 (Today)

AI Product and Delivery Lead

Permanent | £95,000–£115,000

Location: London | Hybrid (2 days in the office, 3 remote)

Travel: Occasional travel to other UK offices and client sites

We’re partnering with an organisation to appoint an AI Product and Delivery Lead who can turn an ambitious internal AI roadmap into tools and workflows people use.

This is a hands-on leadership role combining product judgement, technical delivery and building. You’ll decide what should be developed, direct engineering priorities and create prototypes, internal tools and automations yourself. The focus is on building a connected set of capabilities that delivers lasting value, rather than isolated solutions.

The Opportunity

You’ll take ownership of the day-to-day direction and delivery of an internal AI programme, working closely with the Strategy Director. You’ll have the authority to prioritise, reshape or stop work within the agreed roadmap, balancing stakeholder needs with what can be delivered.

You’ll set priorities for one dedicated software engineer and have access to substantial support from a second engineer. You’ll also work alongside an AI Adoption Consultant to make sure the tools being built can be adopted and maintained across the organisation.

Key Responsibilities

You’ll be responsible for:

  • Owning the AI roadmap and backlog, deciding what to prioritise and what not to pursue.
  • Directing engineering delivery, setting clear priorities and making practical decisions about scope and trade-offs.
  • Building and shipping prototypes, internal tools and automations yourself.
  • Working with stakeholders to understand problems, challenge requests and focus effort where it will have the greatest impact.
  • Setting standards for a shared knowledge base and skills library so new AI work builds on existing capabilities.
  • Acting as deputy owner of AI governance, including acceptable use, data classification and controls for agentic AI.
  • Supporting selected client discovery and pre-sales activity alongside the primarily internal remit.

About You

You’ll have at least three years of experience in product management, technology delivery, consulting or digital transformation, including work you’ve seen through to live use. You’ll also bring:

  • Evidence of tools, products or workflows you’ve built, and the ability to explain the decisions behind them.
  • Daily practical use of generative AI and confidence with AI-assisted development tools.
  • Sound product judgement and the confidence to defend priorities and trade-offs under challenge.
  • The technical understanding to work credibly with engineers and question assumptions when needed.
  • The ability to say no to senior stakeholders and explain why.
  • Confidence working with incomplete information and defining a practical way forward without a detailed specification.

Experience with commercial generative AI, automation or data products would be useful. Familiarity with APIs, agents, MCP, retrieval, evaluation, managed services or B2B technology would also be welcome, but is not essential.

Why Apply?

This is an opportunity to take meaningful ownership of an AI programme, with the authority to shape its direction and the scope to build as well as lead delivery.

In return, you’ll benefit from:

  • A salary of £95,000–£115,000, with the upper end reflecting the ability to run the function independently within the first quarter.
  • Hybrid working, with two days per week in the London office and three days remote.
  • Dedicated engineering support and the freedom to make day-to-day roadmap decisions.
  • A role focused primarily on internal transformation, with some involvement in client discovery and pre-sales.
  • A hands-on remit with no revenue target.

The interview process includes an introductory conversation, a technical task worked through live rather than completed at home, and one or two further interviews.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

By applying you are confirming you are happy to be added to the Addition Solutions mailing list regarding future suitable positions. You can opt out of this at any time simply by contacting one of our consultants.

Related Jobs

View all jobs
Spotlight

AI Compiler Engineer

IC Resources Bristol, Eng, United Kingdom
£80,000 pa Hybrid
Spotlight

Programme Manager (Forward Deployed)

M-1 Intelligence London, United Kingdom
£60,000 – £75,000 pa Remote

AI Adoption Consultant

Addition London, United Kingdom
£65,000 – £80,000 pa Hybrid

Head of Programme Management

Walker Cole International Cb10An, United Kingdom
£100,000 – £120,000 pa On-site

AI Engineer

Norton Rose Fulbright London, United Kingdom

Senior Manager (National Security)

Faculty AI London, United Kingdom
On-site Clearance Required

Senior Software Engineer

Faculty AI London, United Kingdom
Hybrid

Securities Operations AI Delivery Analyst

Adecco London, United Kingdom
Hybrid

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

What Is an AI Forward Deployed Engineer? The Fastest-Growing Job in AI for 2026

If you have been watching AI job boards over the past year, one title keeps surfacing again and again: the forward deployed engineer, or FDE. It has gone from a niche term known mainly to Palantir alumni to arguably the hottest role in the entire AI hiring market. Job postings for forward deployed engineers have exploded, salaries have climbed past levels most software engineers will ever see, and the biggest names in AI — OpenAI, Anthropic, Google, Salesforce, Databricks and Palantir — are all competing for the same small pool of talent. So what exactly is an AI forward deployed engineer, why has demand surged so dramatically, and how do you position yourself to land one of these roles? This guide breaks it all down for AI engineers, software engineers and data scientists looking at their next move.