Senior Vice President, Engineering Lead - Agentic AI

Genpact LTD•New York, NY

40d

About The Position

Ready to build the future with AI? At Genpact, we don't just keep up with technology-we set the pace. AI and digital innovation are redefining industries, and we're leading the charge. Genpact's AI Gigafactory, our industry-first accelerator, is an example of how we're scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies' most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what's possible, this is your moment. Genpact (NYSE: G) is anâ¯advanced technology services and solutions company that deliversâ¯lastingâ¯value for leading enterprisesâ¯globally.â¯Through ourâ¯deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead.â¯Powered by curiosity, courage, and innovation,â¯our teamsâ¯implementâ¯data, technology, and AIâ¯toâ¯create tomorrow, today.â¯Get to know us atâ¯genpact.comâ¯and onâ¯LinkedIn,â¯X,â¯YouTube, andâ¯Facebook. Inviting applications for the role of Senior Vice President, Engineering Lead - Agentic AI In this role, you'll be part of Genpact's transformation under GenpactNext, as we lead the shift to Agentic AI Solutions-domain-specific, autonomous systems that redefine how we deliver value to clients. You'll help drive the adoption of innovations like the Genpact AP Suite in finance and accounting, with more Agentic AI products set to expand across service lines. As the SVP Engineering leader, you will drive Genpact's AI-first transformation by unifying AI research, engineering, product, platform, customer success, and client partner teams-converting advanced Agentic AI research and platform innovations into real, measurable business outcomes for global enterprises.

Requirements

Demonstrated success leading large-scale, globally distributed engineering organizations across multiple product portfolios within a complex enterprise environment.
Proven track record of scaling engineering execution, transforming SDLC maturity, and driving automation-led delivery excellence with measurable productivity and defect-reduction outcomes.
Deep expertise in platform engineering, cloud-native architectures, scalable data/AI platforms, and enterprise-grade AI/ML integration.
Exceptional executive communication, stakeholder alignment, and cross-functional leadership capabilities, influencing across C-suite, product, commercial, and customer organizations.

Nice To Haves

Bachelor's degree in Computer Science, Engineering, or related technical discipline.
Master's degree in Technology Management, Business Administration, Data Science, or equivalent leadership qualification preferred.
Extensive hands-on leadership experience in building and scaling AI/ML products, agentic automation platforms, or intelligent workflow solutions in high-growth environments.
Strong expertise in Agile operating models and modern DevSecOps, AI governance, observability, and automated release frameworks.
Ability to balance engineering rigor, architectural integrity, platform scalability, and strategic business priorities in a dynamic environment.
Proven ability to attract, mentor, and grow senior engineering leaders, building a high-performance, innovation-driven culture.
Demonstrated experience partnering with large enterprise clients, co-innovating solutions, and translating complex business challenges into scalable engineering outcomes.

Responsibilities

Technical Vision & Enterprise Engineering Strategy
Define and lead the enterprise-wide engineering vision, multi-product architecture strategy, and long-term technology roadmap for scalable Agentic AI platforms.
Establish engineering direction that aligns with strategic business outcomes, future platform evolution, and enterprise architecture standards.
Drive innovation and technology differentiation through advanced AI engineering practices, automation, and platform-led product delivery.
Multi-Product Engineering Leadership
Provide executive oversight across a diverse portfolio of AI products, ensuring engineering consistency, performance optimization, reusability, and accelerated time-to-market.
Guide product engineering teams on complex system design, model integration strategies, platform scale considerations, and AI governance frameworks.
SDLC Governance & Delivery Excellence at Scale
Own end-to-end SDLC frameworks across the product ecosystem, embedding automation-first principles, observability, reliability engineering, and continuous improvement.
Strengthen engineering rigor through high standards for defect management, code quality, and scalable release processes.
Quality, Reliability & Responsible AI
Champion enterprise-grade quality, safety, and reliability across all AI solutions through automated testing, performance benchmarking, and secure coding standards.
Lead implementation of responsible AI, setting governance requirements for model evaluation, safety controls, and regulatory compliance.
Engineering Velocity, Scale & Operational Efficiency
Drive transformation programs to eliminate bottlenecks, enhance productivity, and optimize engineering throughput while preserving quality.
Accelerate delivery using modern tooling, platform capabilities, automation pipelines, and cross-functional engineering operating models.
Client-Driven Engineering & Innovation
Foster a customer-first engineering culture grounded in problem-solving and real-world value creation.
Partner with strategic clients and product leadership to co-create AI-led capabilities and ensure product-market fit at scale.
Global Leadership & Talent Strategy
Lead, develop, and inspire a global engineering organization built on technical excellence, innovation, and continuous learning.
Build a robust succession, talent development, and upskilling strategy for emerging AI skills across research, engineering, and product teams.
Executive Collaboration & Stakeholder Alignment
Partner closely with Product, AI Research, Sales, Security, Finance, and Customer Success to align engineering priorities with enterprise growth objectives.
Communicate engineering progress, risk posture, capacity, and investment trade-offs with clarity and transparency at the executive and board level.