Director, AI Solutions

Job description

### Responsibilities - Own the AI Solutions roadmap for the India delivery organization, setting the portfolio strategy, sequencing investments and prioritizing workstreams across Performance Improvement, Transaction Advisory, Office of the CFO and other practice lines - Lead and develop a team of two to three Vice Presidents and their Senior Associates (approximately 10 to 15 professionals), providing strategic direction, technical guidance and career development - Drive talent strategy for the AI Solutions function including hiring plans, role design, vendor partner selection and management and capability building across the team - Partner with the India Delivery Leader and US-based Practice Line Leaders to translate firm priorities into a sequenced AI product portfolio with measurable business outcomes - Oversee end-to-end delivery of agentic AI solutions and automation platforms across multiple concurrent workstreams, ensuring quality, reliability and on-time execution - Establish and enforce engineering, governance and responsible AI standards across the function including prompt safety, data privacy, bias mitigation, model evaluation and MLOps practices - Evaluate and select the AI tooling stack including LLM platforms, agentic frameworks, orchestration tools and AI coding tools (e.g., Claude Code), making build-versus-buy decisions - Define and report on portfolio-level KPIs including adoption, productivity impact, ROI and quality and use those to reprioritize the roadmap - Serve as the primary AI Solutions point of contact for senior firm stakeholders, representing the function in leadership forums and providing executive-ready updates - Contribute selectively as a hands-on technical leader on flagship initiatives where senior judgment is required - Lead firm-wide knowledge sharing, training and change management efforts to scale AI adoption across practice lines - Support business development by shaping AI-related proposals, client presentations and solution demonstrations - Support internal trainings and best practice sharing - Support talent acquisition and firm-building initiatives - Contribute to a high-performing, inclusive and values-driven culture ### Qualifications - Bachelor’s degree in Computer Science, Engineering, Mathematics, Data Science or a related technical field from a top undergraduate program; MBA or advanced degree strongly preferred - Willing to relocate to or be primarily present in Gurgaon - Ability to collaborate across global time zones, including US-based teams - Ten to fifteen years of progressive experience in AI/ML, software engineering or related technical disciplines, with a meaningful portion of that experience in management consulting, professional services or private equity-backed advisory environments - Demonstrated experience leading AI or technology functions of 10 or more professionals, including managing managers and developing senior individual contributors - Proven track record setting product or portfolio roadmaps for AI, data or software functions and translating ambiguous business priorities into sequenced delivery plans - Track record of building and scaling teams, including direct hiring leadership and experience managing vendor delivery partners - Deep working knowledge of LLM-powered applications, agentic AI architectures, automation workflows and the modern AI tooling ecosystem (e.g., OpenAI, Claude, LangChain, N8N, Zapier or similar) - Proficiency with AI coding tools such as Claude Code and the ability to engage credibly in technical reviews and architectural decisions - Strong understanding of data engineering, model evaluation, MLOps and modern software development practices - Demonstrated ability to establish and enforce responsible AI standards including bias detection, explainability and data privacy across production AI systems - Experience operating in client-facing or executive-facing settings with the ability to shape AI-related proposals, presentations and senior stakeholder conversations - Superior written and verbal communication skills, including executive-ready presentation and reporting skills - Proven ability to thrive in lean, fast-moving teams - High attention to detail, responsiveness and ownership mindset - Track record of success in high-pressure environments - Ability to convey technical concepts to non-technical stakeholders