AI Practice Lead

Expleo is seeking an experienced AI Practice Lead to establish, grow, and lead our AI consulting and delivery capability across BFSI, Energy & Utilities, and Diversified Industries. This strategic leadership role will shape Expleo's AI vision, build market-leading offerings, mentor highperforming teams, and help clients unlock measurable business value through AI-driven transformation.

The successful candidate will combine deep technical expertise with strong consulting and stakeholder management skills, enabling them to engage senior executives while providing practical guidance on the design and delivery of enterprise AI solutions. A senior consulting and technology leader with strong executive presence, deep expertise in Artificial Intelligence and modern data ecosystems, and a proven track record of shaping and delivering large-scale AI transformation programmes.

The successful candidate will be comfortable engaging C-suite and senior stakeholders, defining AI strategies, building high-performing teams, and leading complex transformation initiatives across Banking, Financial Services, Insurance, Energy, and Utilities clients. They will combine strategic consulting capability with sufficient technical depth to provide architectural guidance and assurance when required.

• Lead and grow Expleo's AI Practice
  • Drive strategy, market positioning, capability development, revenue growth, and delivery excellence across BFSI, Energy & Utilities, and Diversified Industries.
• Shape enterprise AI strategies and transformation programmes
  • Partner with senior client stakeholders to shape and deliver Data, AI and Digital Transformation strategies aligned to measurable business outcomes.
• Lead AI opportunity discovery and roadmap development
  • Run opportunity discovery workshops, identify high-value use cases, build business cases, and define practical implementation roadmaps.
• Provide technical leadership across AI technologies
  • Lead across modern AI architectures, Generative AI, Agentic AI, LLMs, RAG, Data Platforms, Cloud AI Services, and enterprise integration patterns.
• Remain hands-on where required
  • Provide architectural guidance, technical assurance, innovation leadership, and support the resolution of complex delivery challenges.
• Develop AI offerings and thought leadership
  • Develop industry-specific AI solutions, accelerators, partnerships, thought leadership, and reusable assets.
• Support business growth and solution shaping
  • Support consultative business development, executive stakeholder engagement, solution shaping, and strategic Data & AI opportunities.
• Ensure successful programme delivery
  • Ensure strong governance, quality, scalability, business outcomes, and customer satisfaction across Data & AI programmes.
• Build and develop high-performing teams
  • Build, mentor, and lead AI consultants, architects, data specialists, and engineers, fostering innovation and continuous learning.