AI Strategy Technical Lead

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

Job summary

A leading technology consultancy is seeking an AI Strategy Technical Lead to support the delivery of an AI strategy. This role requires identifying AI use cases and assessing their technical feasibility while engaging with stakeholders. The ideal candidate has a strong understanding of AI tools, solution design, and problem-solving skills. This position offers a unique opportunity to innovate and collaborate across disciplines, working partly on-site in Southampton.

Qualifications

• Must have an MOD SC active clearance or Home Office SC.
• Understanding of AI, ML and Gen AI tools.
• Experience in solution design and architecture.

Responsibilities

• Support the delivery of an AI strategy within the client.
• Identify AI use cases and assess technical feasibility.
• Lead design and architecture of scalable solutions.

Skills

AI understanding

Machine Learning knowledge

Problem solving

Stakeholder engagement

Solution design

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.