Vice President– GCP Architect-Agentic AI

Inviting applications for the role of Vice President- GCP Architect-Agentic AI!

In this role, you%27ll be part of Genpact%27s 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%27ll 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.

Role Summary :

We're looking for an Architect with a strong product-oriented mindset and a passion for crafting and implementing Agentic AI architectures. This role requires hands-on expertise with frameworks like LangChain , LangGraph, and CrewAI , along with the ability to lead teams in developing robust, enterprise-grade AI solutions. The ideal candidate is a strategic leader, a skilled problem solver, and a mentor who can guide teams effectively while collaborating closely with clients to deliver innovative, scalable, and production-ready Agentic applications.

Reponsibilties

Architect & Design

Define and architect end-to-end Agentic AI systems using LangChain , LangGraph, CrewAI , and other emerging frameworks.

Ensure scalability, modularity, and security in multi-agent workflows and production-grade systems.

Design robust architectures that support concurrency, reliability, and seamless orchestration of agent behaviors.

Integrate cutting-edge Gen AI tools and frameworks into architectural strategies to stay ahead of industry trends.

Product Development

Drive innovation by conceptualizing and developing agent-based applications focused on delivering measurable business value.

Translate business requirements into scalable product features using Agentic AI principles.

Build and iterate on proof-of-concepts (POCs), transitioning them into full-scale enterprise-ready solutions.

Recommend and integrate new tools and frameworks to enhance product capabilities and performance.

Hands-On Development

Develop and optimize agent pipelines, integrating APIs, LLMs, and orchestrated workflows.

Work extensively with Python, containerized environments (Docker / Kubernetes), and cloud-native architectures (GCP).

Solve complex engineering challenges related to agent coordination, data flow, and system performance.

Ensure production-readiness through rigorous testing, monitoring, and optimization of AI systems.

Client Engagement

Collaborate closely with clients to understand business needs, define technical architecture, and deliver tailored AI agent solutions.

Lead technical workshops, demos, and implementation sessions to showcase capabilities and drive adoption.

Act as a trusted advisor, translating client goals into actionable AI strategies and solutions.

Team Leadership & Mentorship

Lead and inspire cross-functional teams of developers, data scientists, and AI engineers.

Mentor team members on best practices in Agentic AI, system design, and emerging technologies.

Foster a culture of innovation, continuous learning, and technical excellence.

Problem Solving & Innovation

Tackle architectural challenges around workflow orchestration, concurrency, and system reliability.

Stay abreast of Gen AI advancements, evaluating and integrating new frameworks and tools into product and architectural strategies.

Champion experimentation and rapid prototyping to explore new possibilities in Agentic AI.

Qualifications we seek in you!

Minimum Qualifications

experience with deep expertise in GCP offerings and solution building

Expertise in LangChain , LangGraph, CrewAI , and multi-agent frameworks.

Strong proficiency in Python and workflow orchestration.

Experience with Docker / Kubernetes and cloud platforms (GCP).

Deep understanding of LLMs , API integration, and agent-based architectures.

Ability to design modular, scalable, and secure AI systems.

Strong communication and client-facing skills .

Proven leadership in cross-functional team environments .

Up-to-date knowledge of Gen AI trends and tools .