Vice President

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 and on LinkedIn, X, YouTube, and Facebook. 
We are inviting applications for the Vice President - Technical Product Engineering Lead – Agentic AI
We are seeking an accomplished Technical Product Engineering Lead to spearhead the development of cutting-edge Agentic AI products within the Financial Services domain. This role is central to building intelligent, autonomous systems that enhance decision-making, streamline core financial processes, and transform client operations across banking, capital markets, and insurance.
As an Technical Product Engineering Lead, you will guide cross-functional engineering teams, define architectural standards, and drive the delivery of secure, scalable, high-quality Agentic AI solutions. You will work closely with AI research, product leaders, domain SMEs, and client teams to convert financial-sector use cases into robust, enterprise-ready capabilities.

Key Responsibilities
Technical Leadership & Architecture

•    Define and implement the technical vision and architecture for AI-driven financial products, ensuring scalability, security, and regulatory compliance.

•    Guide engineering teams in designing agentic automation frameworks, decision engines, and workflow orchestration tailored for the financial industry.

•    Evaluate emerging AI technologies, platforms, and patterns to accelerate innovation.
End-to-End Product Development

•    Lead the full engineering lifecycle—from prototyping and model integration to production deployment and post-release enhancements.

•    Collaborate with product and domain teams to convert financial use cases (e.g., underwriting, claims, fraud detection, onboarding, KYC) into actionable engineering plans.

•    Maintain a healthy balance between feature velocity, code maintainability, and operational robustness.
SDLC Ownership & Quality Governance

•    Oversee SDLC processes, ensuring engineering rigor across design, development, testing, release, and support.

•    Drive defect management, testing automation, observability, and performance validation for secure, enterprise-grade AI products.

•    Implement quality benchmarks, coding standards, and engineering best practices.
AI & Model Integration

•    Partner with AI/ML teams to integrate large language models, agent frameworks, and predictive models into financial workflows.

•    Ensure responsible AI principles—explainability, fairness, compliance, and risk controls—are embedded in the product.
Cross-Functional Collaboration

•    Work closely with product management, domain specialists, data engineering, and client teams to align engineering outputs with business outcomes.

•    Communicate priorities, risks, and technical trade-offs clearly to stakeholders across global teams.
Client-Centric Delivery

•    Engage with financial clients to understand domain challenges and customize solution architectures accordingly.

•    Ensure products meet industry-specific regulatory, privacy, and security standards (e.g., PCI, SOX, AML/KYC regulations).
Team Leadership & Capability Building

•    Mentor engineering teams, promote a culture of continuous learning, and build deep capabilities in agentic automation and AI-driven development.

•    Lead global, distributed teams with a focus on high performance, reliability, and innovation.

Qualifications We Seek
Minimum Qualifications

•    Proven experience leading engineering teams delivering AI/ML or automation products in a large-scale enterprise environment.

•    Strong understanding of SDLC, defect management, and engineering quality processes.

•    Hands-on experience with cloud-native architectures, microservices, APIs, and AI integration patterns.

•    Excellent leadership, communication, and technical decision-making skills.
Preferred Skills

•    Experience building products for financial services—banking, insurance, capital markets, or risk management.

•    Familiarity with regulatory requirements and data governance frameworks in BFSI.

•    Strong grasp of Agile delivery models and modern DevSecOps practices.

•    Ability to balance technical rigor with business priorities and client impact.

•    Experience mentoring teams and fostering engineering excellence.
Education

•    Bachelor's degree in Computer Science, Engineering, or related technical discipline.

•    Master's degree in Technology Management, AI/ML, Business, or Data Science is a plus.

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 
·    Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress 
Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters\: Up.  
Let's build tomorrow together. 

Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.  
 Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

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 and on LinkedIn, X, YouTube, and Facebook. 
We are inviting applications for the Vice President - Technical Product Engineering Lead – Agentic AI
We are seeking an accomplished Technical Product Engineering Lead to spearhead the development of cutting-edge Agentic AI products within the Financial Services domain. This role is central to building intelligent, autonomous systems that enhance decision-making, streamline core financial processes, and transform client operations across banking, capital markets, and insurance.
As an Technical Product Engineering Lead, you will guide cross-functional engineering teams, define architectural standards, and drive the delivery of secure, scalable, high-quality Agentic AI solutions. You will work closely with AI research, product leaders, domain SMEs, and client teams to convert financial-sector use cases into robust, enterprise-ready capabilities.

Responsibilities
Technical Leadership & Architecture

•    Define and implement the technical vision and architecture for AI-driven financial products, ensuring scalability, security, and regulatory compliance.

•    Guide engineering teams in designing agentic automation frameworks, decision engines, and workflow orchestration tailored for the financial industry.

•    Evaluate emerging AI technologies, platforms, and patterns to accelerate innovation.
End-to-End Product Development

•    Lead the full engineering lifecycle—from prototyping and model integration to production deployment and post-release enhancements.

•    Collaborate with product and domain teams to convert financial use cases (e.g., underwriting, claims, fraud detection, onboarding, KYC) into actionable engineering plans.

•    Maintain a healthy balance between feature velocity, code maintainability, and operational robustness.
SDLC Ownership & Quality Governance

•    Oversee SDLC processes, ensuring engineering rigor across design, development, testing, release, and support.

•    Drive defect management, testing automation, observability, and performance validation for secure, enterprise-grade AI products.

•    Implement quality benchmarks, coding standards, and engineering best practices.
AI & Model Integration

•    Partner with AI/ML teams to integrate large language models, agent frameworks, and predictive models into financial workflows.

•    Ensure responsible AI principles—explainability, fairness, compliance, and risk controls—are embedded in the product.
Cross-Functional Collaboration

•    Work closely with product management, domain specialists, data engineering, and client teams to align engineering outputs with business outcomes.

•    Communicate priorities, risks, and technical trade-offs clearly to stakeholders across global teams.
Client-Centric Delivery

•    Engage with financial clients to understand domain challenges and customize solution architectures accordingly.

•    Ensure products meet industry-specific regulatory, privacy, and security standards (e.g., PCI, SOX, AML/KYC regulations).
Team Leadership & Capability Building

•    Mentor engineering teams, promote a culture of continuous learning, and build deep capabilities in agentic automation and AI-driven development.

•    Lead global, distributed teams with a focus on high performance, reliability, and innovation.

Qualifications we seek in you
Minimum Qualifications

•    Proven experience leading engineering teams delivering AI/ML or automation products in a large-scale enterprise environment.

•    Strong understanding of SDLC, defect management, and engineering quality processes.

•    Hands-on experience with cloud-native architectures, microservices, APIs, and AI integration patterns.

•    Excellent leadership, communication, and technical decision-making skills.
Preferred Skills

•    Experience building products for financial services—banking, insurance, capital markets, or risk management.

•    Familiarity with regulatory requirements and data governance frameworks in BFSI.

•    Strong grasp of Agile delivery models and modern DevSecOps practices.

•    Ability to balance technical rigor with business priorities and client impact.

•    Experience mentoring teams and fostering engineering excellence.
Education

•    Bachelor's degree in Computer Science, Engineering, or related technical discipline.

•    Master's degree in Technology Management, AI/ML, Business, or Data Science is a plus.

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 
·    Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress 
Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters\: Up.  
Let's build tomorrow together. 

Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.  
 Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.