Artificial Intelligence Lead

Jobtailor; Gurugram District; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Jobtailor seeks a seasoned AI leader to own the vision and roadmap for the AI function, align governance, and report to executive sponsors. You will build and lead delivery pods, balance build/buy/partner decisions, and secure funding for critical AI initiatives.

You will chair portfolio governance, establish responsible-AI guardrails, manage risk, and drive value realization across data, ML and GenAI programs at scale, with a strong emphasis on commercial impact and stakeholder management.

Qualifications

• 12+ years’ experience across data, AI and engineering.
• 4+ years leading and scaling technical teams.
• Production experience with AI/ML/GenAI at enterprise scale.
• MBA or equivalent commercial acumen.

Responsibilities

• Own the vision, priorities, governance and leadership alignment for the AI function.
• Set the roadmap and ensure delivery is well-governed and value-focused for executive sponsors.
• Define and own the AI strategy and 12–24 month roadmap aligned to business goals.
• Establish and run portfolio governance, guardrails, risk and ROI reporting.
• Act as primary interface to sponsors and stakeholders; secure funding and report progress.
• Build and lead the team and manage org design, hiring and retention.
• Own build/buy/partner decisions, AI budget, and vendor relations.
• Drive use-case prioritization and value realization; remove blockers across functions.
• Champion an AI-literate culture and responsible adoption.

Skills

Data & AI experience

Leadership of engineering teams

Governance & risk management

GenAI/ML landscape knowledge

Portfolio & roadmap ownership

Education

Advanced degree in CS/ML/Engineering or MBA

Job description

Responsibilities

• Own the vision, priorities, governance and leadership alignment for the AI function.
• Set the roadmap and keep delivery well‑governed and value‑focused, acting as the sole senior point of accountability to executive sponsors.
• Define and own the AI strategy, priorities and 12–24 month roadmap aligned to business goals and the global AI agenda.
• Establish and run portfolio governance, responsible‑AI guardrails, risk and compliance, and executive value/ROI reporting.
• Act as the primary interface to executive sponsors and global stakeholders; secure funding, manage expectations, and report progress, risk and value.
• Build and lead the team (Engineer, PMO Lead, AI Support and delivery pods); own org design, hiring, capacity planning and retention.
• Own build/buy/partner decisions, the AI budget, and cloud and vendor relationships.
• Drive use‑case prioritization and value realization; remove blockers across legal, security, procurement and infrastructure.
• Champion an AI‑literate culture and responsible adoption across the organization.

Qualifications

• Minimum 12+ years’ experience across data, AI and engineering, with at least 4 years leading and scaling technical teams.
• Track record of taking AI, ML or GenAI solutions to production at enterprise scale.
• Strong governance, risk and stakeholder‑management skills with executive audiences.
• Deep, current understanding of the GenAI, agentic and ML landscape.
• Experience owning a portfolio, budget and roadmap.
• Advanced degree in computer science, machine learning, engineering or an MBA.
• Education/experience that demonstrates strong commercial acumen (minimum post‑graduation degree, MBA or equivalent professional course certification).