The Senior AI Consultant supports clients in modernising their organisations through AI by conducting in-depth analyses of complex needs and proposing strategic solutions grounded in benchmarks, evidence, and operational reality.
Drawing on AI expertise and consulting experience, you enrich recommendations, challenge stakeholders to think harder about the problems worth solving, and guide teams through the organisational change that AI adoption demands. You formalise high-quality deliverables, evaluate the medium- and long-term impact of what you recommend, and ensure clients are satisfied with both the journey and outcome.
This role is highly client-facing. In most AI engagements, you will be the senior SQLI voice in the room, supported by architects and engineers from across the Data & AI service line and the wider SQLI group. You will work closely with the Service Line Manager on offer development and with Solution Architects on solution design.
You will also help shape the practice itself. New accelerators, methodologies, points of view, and reusable IP come out of the work you do with clients. We want someone who sees that as part of the role, not a side project.
- Conduct in-depth analysis of client needs and context, identifying where AI can create tangible business value and challenging stakeholders to solve root causes rather than surface-level symptoms.
- Design and propose AI solutions based on benchmarks, evidence, and feedback, with a credible path from business objectives to measurable outcomes.
- Advise clients on strategic and operational decision-making, assessing the medium- and long-term impact of AI adoption on operating models, processes, teams, and commercial performance.
- Lead discovery workshops, AI strategy sessions, presentations, and executive-level discussions with technical and non-technical stakeholders.
- Support change management initiatives around AI adoption, driving engagement, skills transfer, and organisational buy-in.
- Shape commercial proposals together with the Service Line Manager, contributing to solution design and technical storytelling throughout the sales-to-delivery lifecycle.
- Collaborate with Solution Architects, Data Specialists, and Engineering teams to validate technical feasibility and design scalable AI architectures.
- Design and advise on AI applications leveraging RAG (Retrieval-Augmented Generation), AI agents, MCP ecosystems, enterprise knowledge retrieval, and workflow automation capabilities.
- Assess and improve the reliability, quality, and performance of AI solutions using evaluation frameworks, testing methodologies, and governance best practices.
- Contribute to new AI offerings, accelerators, reusable assets, and internal initiatives that strengthen SQLI's positioning in the AI market.
- Ensure delivery excellence, maintain high-quality standards, and build long-term trusted-advisor relationships with clients.
