Head of Artificial Intelligence

Location:

Role Overview

The Delivery & Practice Head / BU Head – AI will own the end-to-end strategy, growth, and delivery of the AI Business Unit. This leader will define the Go-to-Market plan, drive revenue, and ensure excellence in solution architecture, delivery management, and talent development. The role demands a proven track record of scaling AI/ML practices, building high-performing teams, and engaging CXO-level clients to deliver transformative AI solutions.

Key Responsibilities

Go-to-Market & Sales Leadership

• Define and execute a robust Go-to-Market strategy for AI solutions and services.
• Partner with global sales teams to generate AI-led opportunities across industries.
• Drive revenue growth, pipeline creation, and account expansion with differentiated AI offerings.
• Represent the AI BU at client pursuits, industry events, and strategic alliances.

Solution Architecture & Innovation

• Lead the design and architecture of scalable AI/ML solutions tailored to client needs.
• Collaborate with pre-sales and technical teams to create innovative offerings aligned with digital transformation initiatives (Cloud, Analytics, Security, Automation).
• Maintain thought leadership by tracking emerging AI trends, frameworks, and technologies.

Delivery Management

• Oversee end-to-end delivery of AI programs ensuring quality, timeliness, and cost efficiency.
• Establish governance frameworks, best practices, and delivery excellence models.
• Proactively mitigate risks and ensure compliance with contractual obligations and client expectations.

Talent Acquisition & Development

• Build, mentor, and scale a high-performing AI delivery and solutioning team.
• Drive hiring strategy for AI architects, data scientists, ML engineers, and domain experts.
• Foster a culture of innovation, collaboration, and continuous learning.

Client Engagement & Advisory

• Act as a trusted advisor to CXOs and business leaders.
• Engage with clients to identify business challenges and translate them into AI-led solutions.
• Conduct co-creation and innovation workshops to shape future-ready AI strategies.
• Ensure exceptional client satisfaction through proactive engagement and measurable value delivery.

Qualifications & Experience

• Education:

• Bachelor’s degree in Computer Science, Engineering, or related field (MBA preferred).

• Experience:

• 15+ years in IT Services with at least 5+ years leading AI/ML business units or practices.
• Proven record of driving AI/Analytics solutions across industries (BFSI, Healthcare, Retail, Manufacturing, Technology).
• Strong background in delivery management, client engagement, and building high-performance teams.
• Hands-on exposure to cloud platforms (AWS, Azure, GCP) and AI/ML frameworks (TensorFlow, PyTorch, OpenAI, etc.).

Skills:

• Strategic thinking and business development.
• Solutioning and stakeholder management.
• Exceptional leadership, communication, and people management abilities.