We are looking for an experienced AI Practice Lead to establish, scale, and lead the organization's AI practice.

The role will be responsible for defining AI strategy, developing differentiated offerings, driving business growth, engaging with strategic clients, and building high-performing AI consulting and engineering capabilities.

The ideal candidate will have extensive experience in AI-led transformation, consulting, solution development, presales, and practice leadership, along with a strong understanding of modern AI technologies and their application across enterprise business functions.

Key Responsibilities:

AI Practice Strategy & Growth:

- Define and execute the organization's AI practice strategy and growth roadmap.

- Identify emerging AI opportunities across industries and enterprise functions.

- Build differentiated AI offerings, solutions, frameworks, accelerators, and reusable assets.

- Develop go-to-market strategies for AI consulting and implementation services.

- Track emerging developments across Generative AI, machine learning, intelligent automation, AI platforms, and enterprise AI.

- Define practice-level revenue, pipeline, capability, and growth objectives.

Business Development & Client Engagement:

- Drive strategic AI-led business development and consulting opportunities.

- Engage with CXOs, business leaders, technology leaders, and senior stakeholders to identify AI transformation opportunities.

- Lead AI discovery sessions, executive workshops, solution presentations, and consulting engagements.

- Partner with sales teams to build and convert a strong AI opportunity pipeline.

- Lead or support strategic RFPs, RFIs, proposals, and large deal pursuits.

- Identify opportunities for expanding AI capabilities within existing client accounts.

AI Consulting & Solutioning:

- Advise clients on AI strategy, transformation roadmaps, use-case identification, and implementation approaches.

- Translate business challenges into scalable AI solutions with measurable business outcomes.

- Guide teams in developing AI/ML and Generative AI solutions for enterprise use cases.

- Define solution architecture and engagement approaches in collaboration with technical architects and engineering teams.

- Evaluate AI use cases based on business value, technical feasibility, scalability, security, and responsible AI considerations.

- Drive development of reusable AI frameworks, accelerators, and intellectual property.

Practice & Capability Building:

- Build and lead a high-performing team of AI consultants, architects, data scientists, engineers, and technical specialists.

- Define AI competency frameworks and capability development programs.

- Drive recruitment, mentoring, and succession planning for critical AI capabilities.

- Establish best practices, methodologies, governance models, and delivery standards for AI engagements.

- Encourage innovation and knowledge sharing across the AI practice.

Delivery & Governance:

- Provide executive oversight for strategic AI transformation programs.

- Ensure successful delivery of AI engagements with focus on quality, scalability, timelines, and business impact.

- Work with delivery teams to identify technical and business risks and drive timely resolution.

- Establish governance frameworks covering AI solution development, implementation, performance, security, and responsible AI practices.

- Track client satisfaction and identify opportunities for continuous improvement.

Required Skills & Experience:

- 1518 years of experience in AI, data, technology consulting, digital transformation, or related fields.

- Strong experience in AI/ML consulting, enterprise AI transformation, or technology services.

- Proven experience in building or scaling AI practices, offerings, or consulting businesses.

- Strong understanding of Generative AI, machine learning, NLP, intelligent automation, and modern AI architectures.

- Experience translating AI capabilities into business solutions and measurable outcomes.

- Strong experience in presales, solutioning, RFP/RFI management, and strategic client engagements.

- Proven track record of driving revenue growth, pipeline development, and large AI opportunities.

- Experience engaging with CXO-level stakeholders and leading executive conversations.

- Strong leadership, strategic thinking, communication, negotiation, and stakeholder management skills.

- Ability to balance business strategy, technology innovation, client needs, and delivery execution.