AI Strategy Technical Lead

eTeam; Leeds; Hybrid; GBP 100,000 - 125,000; Full time

Job summary

A leading technology firm is seeking an AI Strategy Technical Lead to support the delivery of AI initiatives. This role involves identifying AI use cases, assessing their feasibility, and collaborating with diverse teams. The ideal candidate will possess strong skills in AI, ML, and solution design. Active MOD SC or Home Office SC clearance is required. This position allows for remote work with occasional on-site meetings in the UK, providing a dynamic environment to innovate and solve complex problems.

Qualifications

• Active MOD SC clearance or Home Office SC considered.
• Extensive experience in AI with focus on delivery of strategies.
• Proven track record in solution design and collaborative problem solving.

Responsibilities

• Support the delivery of an AI strategy.
• Identify AI use cases and assess their technical feasibility.
• Engage stakeholders by translating complex concepts.

Skills

AI understanding

Machine Learning (ML)

Generative AI tools knowledge

Solution design

Stakeholder engagement

Problem solving

Cross-discipline collaboration

Innovation and R&D

Job description

Job Title : AI Strategy Technical Lead

Location : Home (on-site once a month)

Pay rate : as per the market norms

Must have an MOD SC active clearance (we could also consider Home Office SC).

Job Description

We require a C4 / SM to support the delivery of an AI strategy within the client. The role will be working in an extended team to identify AI use cases across the client and support the assessment of the technical feasibility of these use cases. Understanding of AI, ML and Gen AI tools, such as GPT models and agentic AI frameworks.

Experience across

• Solution Design: Lead the design and architecture of solutions, ensuring scalability, security, and alignment with business goals.
• Stakeholder Engagement: Strong ability to translate complex technical concepts into business language, advising leadership, product owners, and clients.
• Problem Solving: Act as an escalation point for complex issues, ensuring rapid resolution and informed decision-making.
• Cross-Discipline Collaboration: Work closely with product, design, and operations teams to ensure delivery of AI strategy outcomes.
• Innovation & R&D: a strong understanding of emerging trends, tools, and methods in AI; introduce innovations that add value to products, services, or client solutions.