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VP, Autonomous Systems Engineering
VP, Autonomous Systems EngineeringGenpact • Republic Of India, IN
VP, Autonomous Systems Engineering

VP, Autonomous Systems Engineering

Genpact • Republic Of India, IN
10 days ago
Job description

About the Company

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 an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.Com and on LinkedIn, X, YouTube, and Facebook.

About the Role

Inviting applications for the role of Vice President, Engineering Management 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. Genpact is seeking a dynamic and experienced Vice President to lead our Engineering efforts in Agentic AI. This role will be pivotal in driving the enterprise-wide transition from Digital Operations (DO) to Agentic Operations (AO), ensuring that our engineering practices align with our strategic goals and deliver exceptional value to our clients.

Responsibilities

Enterprise AO Strategy & Design

  • Operating Model Development : Shape the operating model, role archetypes, and governance required for AO at scale.
  • Roadmap Execution : Define and execute the AO roadmap to transition approximately 95,000 Full-Time Equivalents (FTEs) from DO to AO.
  • Financial Partnership : Collaborate with COOs and CFO organizations to deliver AO’s contribution to segment Annual Recurring Revenue (ARR), margin expansion, and revenue per headcount.
  • Commercial Value Proposition : Translate operational outcomes into commercial value propositions for clients and build metrics dashboards to track AO-driven efficiency, revenue rotation, and value delivered.

Delivery Readiness & Client Success

  • Readiness Accelerator : Lead the Agentic Operations readiness accelerator to re-architect skills, responsibilities, and workflows.
  • Efficiency and Outcomes : Drive AO-led delivery efficiency and business outcomes in designated accounts.
  • Integration of Solutions : Partner with segment COOs to integrate Agentic solutions into delivery frameworks, ensuring over 90% of revenues transition into AO by 2026.
  • Quality Assurance : Institutionalize Agentic Quality Assurance (QA) and governance frameworks like Delivery Quality Index (DQI) for Digital Operations.
  • Hybrid Model Delivery : Ensure seamless delivery in hybrid models (human + AI workforce) with consistent client experience and value realization.
  • Performance Scorecard : Establish an AO Performance Scorecard and build metrics dashboards to track AO-driven efficiency, revenue rotation, and value delivered to clients.
  • Governance and Reporting : Govern AO adoption through clear checkpoints, risk controls, and Board / GLC reporting.
  • Change Leadership

  • Change Management Function : Lead the Change Management function to drive mindset, process, and culture shifts across Genpact and client ecosystems.
  • Collaboration with GDC Leads : Collaborate with Global Delivery Center (GDC) leads to integrate AO into scaled delivery hubs.
  • Adoption of Agentic-first Practices : Lead the adoption and internalization of Agentic-first ways of working.
  • Customer Experience & Value

  • ACE Function Oversight : Oversee the Agentic Customer Experience (ACE) function and ensure adoption frameworks drive measurable value for clients.
  • Outcome Tracking : Track and report outcomes across delivery excellence (Stability + Client Outcomes), efficiency, effectiveness, and client satisfaction.
  • Compliance Goals : Ensure over 85% compliance on Delivery Quality Index (DQI) across AO accounts by 2026.
  • Best Practices Establishment : Establish AO best practices and playbooks, embedding continuous improvement across service lines.
  • Transition Planning : Partner with vertical COOs on transition planning, stable delivery, and AO adoption KPIs (NPS, responsiveness, predictability).
  • Responsible & Sustainable AO

  • Compliance and Ethics : Partner with the Head of Responsible AI to embed compliance, ethics, and observability into operations.
  • Scalable Practices : Ensure scalable, resilient, and future-ready AO practices aligned with regulatory standards.
  • Talent & Capability Build

  • Global Talent Strategy : Build a global AO talent strategy with new role archetypes (e.G., AI Trainer, Workflow Designer, Evaluation Specialist).
  • Career Pathways Development : Develop career pathways, certifications, and rotation models to ensure workforce readiness.
  • Risk & Compliance Leadership

  • Risk Management : Anticipate and manage risks (e.G., compliance gaps, client adoption challenges, workforce displacement issues).
  • Proactive Frameworks : Establish proactive risk mitigation frameworks in collaboration with Responsible AI and Legal / Compliance teams.
  • Thought Leadership & Influence

  • External Representation : Represent Genpact externally at client forums,
  • Qualifications we seek in you!

  • Extensive experience in large-scale operations leadership (BPO, Technology, Consulting, or SaaS Ops).
  • Proven track record of leading operating model transformations at enterprise scale.
  • Strong understanding of AI / Automation, hybrid workforce models, and digital operations.
  • Demonstrated ability to influence across C-Suite, clients, and large-scale teams.
  • Deep expertise in organizational design, change management, and customer success.
  • Global leadership experience with multi-country delivery models.
  • Why join Genpact?

  • Lead AI-first transformation – Build and scale AI solutions that redefine industries.
  • Make an impact – Drive change for global enterprises and solve business challenges that matter.
  • Accelerate your career – Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills.
  • Grow with the best – Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace.
  • Committed to ethical AI – Work in an environment where governance, transparency, and security are at the core of everything we build.
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    Vp Engineering • Republic Of India, IN

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