AI Engineering Lead

Edge Tech; United States; Remote; GBP 140,000 - 210,000; Full time

Benefits offered by this job

10% matched pension

Private medical (family cover)

30 days holiday + bank holidays

Life assurance

Fully remote

Job summary

Edge Tech is seeking a technical leader to own production AI/ML delivery within a major UK banking context. You will collaborate with delivery partners and senior leaders to establish governance, responsible AI practices, and scalable architectures.

The role blends hands-on engineering with strategic oversight, requiring strong Python/SQL, Terraform/CI/CD, and experience presenting to executives in a regulated environment. Fully remote with hybrid elements and strong board engagement.

Qualifications

• Real production experience building and deploying AI/ML/GenAI solutions.
• Hybrid technical & strategic skills with board-level communication ability.
• Strong Python and SQL skills; Terraform and CI/CD are must-haves.
• Experience in regulated environments (financial services, public sector, etc.).
• Willingness to challenge the status quo and drive change.

Responsibilities

• Lead design and delivery of AI solutions from concept to production.
• Ensure solutions are secure, scalable, and compliant with Responsible AI principles.
• Shape engineering standards and best practices for AI across the organization.
• Identify AI opportunities with cross-functional teams and prioritise work.
• Define build/buy/partner strategies for AI solutions and services.
• Provide hands-on help with AI, ML, and GenAI in production when needed.

Skills

Production AI/ML

Python

SQL

Terraform

CI/CD

Board-ready communication

Education

Bachelor's degree in CS/Engineering

Tools

Azure OpenAI

Azure AI Services

Azure Machine Learning

Job description

Visa Sponsorship: Not available. Must have right to work in the UK without sponsorship.

Split: Today, approximately 20% hands-on / 80% partner-led delivery accountability. Expected to shift toward 50/50 as the AI journey matures.

Who They Are

A major UK bank that is done talking about AI and is now building it.

This isn't a side project or a pilot programme. AI is central to how this organisation operates, with board-level sponsorship and a CEO who is an ex-Chief Digital Officer. They've already identified hundreds of automation and AI opportunities across the business.

The first agentic build is going to production imminently. Claude is rolled out org wide. Copilot agents are launching. Governance frameworks are being built from scratch. The Centre of Excellence is intentionally small - and this is your chance to join at the ground floor and shape what it becomes.

They're looking for a technical leader who has lived and breathed AI delivery in production, can hold their own in front of a board, and is resilient enough to push through resistance in a regulated environment.

If you want to build something from the ground up, with real backing and genuine influence, this is it.

Why This Role Is Special

• Greenfield opportunity: Early in the AI journey, with governance frameworks, lifecycles and controls still being built. You'll put your stamp on how this is set up.
• Board-level backing: AI has strong top-down support. You'll help explain solutions and tooling to senior leaders.
• Truly hybrid role: Not pure engineering, not pure strategy. A genuine player-coach blend of technical leadership and hands-on delivery.
• Incredible benefits: 10% matched pension, up to 11% bonus, private medical (family cover), 30 days holiday plus bank holidays, and life assurance.
• Grown-up working culture: Outcomes matter more than presenteeism. This role is fully remote.

What You'll Own

Technical Leadership & Delivery

• Lead design and delivery of AI solutions from concept through to production, working with a primary delivery partner and other partners, contractors and academic institutions.
• Be accountable for delivery outcomes, ensuring solutions are secure, scalable, compliant and aligned to Responsible AI principles.
• Shape technical direction, standards and best practice for AI engineering across the Group.
• Work with architecture, data, technology and business teams to identify and prioritise AI opportunities.
• Define the right build, buy and partner approach for AI solutions and services.
• Provide technical leadership across cloud-based AI platforms (Azure strategic, migrating from AWS), services and integrations.
• Support the growth of AI capability and adoption across the organisation.
• Get hands-on with code when needed, helping to build and deploy AI, Machine Learning and Generative AI solutions in production environments.
• Work with modern AI frameworks, LLMs, RAG, prompt engineering and vector databases.
• Ensure robust MLOps practices, APIs, data pipelines and modern software engineering disciplines are in place.

Strategic & Stakeholder Engagement

• Act as a thought leader, willing to challenge the business and drive new ways of working.
• Communicate clearly and confidently to senior leaders and board level, translating complex technical concepts into business language.
• Be a resilient change agent, pushing against colleagues who have done things the same way for years.
• Help establish engineering standards, frameworks and practices that enable AI solutions to be deployed securely, responsibly and at scale.

Must-Have

• Proven Production Experience: You have "lived it, breathed it." Real commercial, production experience building and deploying AI/ML/GenAI solutions. Not just POC work or an academic pathway.
• Hybrid Technical & Strategic Skills: Deeply technical but able to present confidently to a board. The key test: "Can you hold your own in front of a board?"
• Strong Engineering Foundation: Excellent Python and SQL skills. Terraform and CI/CD are must-haves.
• Regulated Environment Experience: You've worked in a corporate or regulated environment (financial services, public sector, insurance, etc.) and understand corporate governance.
• Thought Leadership & Resilience: Willing to challenge the status quo and drive new ways of working, even when faced with resistance.

Nice-to-Have

• Experience in consultancy is a strong fit - client engagement, stakeholder presentation, and balancing technical work with strategic advice.
• Experience with Microsoft Azure, including Azure OpenAI, Azure AI Services, Azure Machine Learning and Azure Data Platform technologies.
• Knowledge of LLMs, RAG, prompt engineering, vector databases and modern AI frameworks.
• Experience managing partner-led delivery and a mix of onshore/offshore teams.