Company Name

GENPACT ( Bangalore )

Job Description

• Job Description:
  • 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:
  1. experience with deep expertise in GCP offerings and solution building
  2. Expertise in LangChain, LangGraph, CrewAI, and multi-agent frameworks.
  3. Strong proficiency in Python and workflow orchestration.
  4. Experience with Docker/Kubernetes and cloud platforms (GCP).
  5. Deep understanding of LLMs, API integration, and agent-based architectures.
  6. Ability to design modular, scalable, and secure AI systems.
  7. Strong communication and client-facing skills.
  8. Proven leadership in cross-functional team environments.
  9. Up-to-date knowledge of Gen AI trends and tools.

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