Lead AI Solutions Consultant
Role Overview
Lead AI solution discovery, definition and delivery across complex client projects and programmes.
Work independently to identify business value and turn complex business and operational challenges into practical, safe solutions ready for delivery and adoption.
Work across low-code agents and enterprise AI solutions with developers, solution architects and governance specialists.
Key Skills for This Role
Full Job Posting
About Scale Factory
Scale Factory is an AI enablement consultancy focused on quality-led, AI-first foundations and embedding AI capability into client organisations.
The consultancy combines engineering and quality expertise with AI to build robust, scalable foundations for transformation.
Working arrangements
- The role offers hybrid working.
About the role
Lead AI solution discovery, definition and delivery across complex client projects and programmes.
Work independently to identify business value and turn complex business and operational challenges into practical, safe solutions ready for delivery and adoption.
Work across low-code agents and enterprise AI solutions with developers, solution architects and governance specialists.
Key responsibilities
- Design scalable AI solutions that address client needs and deliver measurable business value.
- Build client relationships, lead discovery, and define AI use cases, strategies, roadmaps and priorities.
- Translate business needs into solution designs and collaborate with technical teams on delivery.
- Coach colleagues, share best practice and build capability across the AI consulting practice.
Required experience and skills
- Eligibility for Security Clearance.
- Significant experience in business analysis, solutions consulting or technology delivery.
- Proven experience delivering AI, ML, GenAI or intelligent automation solutions.
- Strong client-facing, stakeholder management and facilitation skills; ability to translate business needs into practical, testable AI solutions.
- Understanding of AI governance, responsible AI, risk and quality; strong knowledge of requirements, process modelling and Agile delivery.
- Experience with backlogs, user stories, acceptance criteria and UAT; familiarity with Azure DevOps, Jira or similar tools.
- Experience supporting AI adoption, change and transition to business as usual; proven experience coaching and mentoring analysts or consultants.
Desirable skills and experience
- Consultancy or direct client experience; experience in legal, defence, government, public sector or other regulated environments.
- Infrastructure, technology, data or transformation project experience.
- Experience with Microsoft AI technologies, including Microsoft Copilot Studio and/or Microsoft Foundry.
- Understanding of AI agent design, prompt engineering and evaluation techniques.
Benefits
- 25 days of annual leave, one extra day per year for the first three years, and a holiday buying scheme.
- Employer-matched pension contributions up to 5%.
- Health benefits are offered; further details are not provided in the supplied description.
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