Principal AI Engineer 3

Ready to turn bold ideas into real-world impact?
 At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory, our industry-first accelerator, exemplifies how we scale advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. Whether tackling complex challenges through large-scale models or 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 agentic and advanced technology solutions company. We leverage process intelligence and artificial intelligence to deliver measurable outcomes. With a strong partner ecosystem and decades of client trust, we provide innovative solutions that transform how businesses run. Powered by a team with an active learning mindset and client centricity at its core, we deliver lasting value for the world’s leading enterprises.
 Get to know us at genpact.com and on LinkedIn, YouTube, X, and Facebook.

Job Description

Key Responsibilities

• Architecture Strategy & Design

• Design and deploy scalable, secure, and resilient cloud-native AI infrastructure utilizing AWS (e.g., Bedrock, SageMaker, AgentCore), Azure (e.g., Azure OpenAI, Azure Machine Learning, Microsoft Foundry), or GCP (e.g., Vertex AI, Agent Builder, Agentspace, Gemini Enterprise).
• Define blueprint patterns for advanced AI workloads, including Retrieval-Augmented Generation (RAG), semantic search optimization, and multi-agent orchestration and fine-tuning frameworks.

• Agentic AI Systems

• Architect autonomous and multi-agent systems using frameworks such as LangGraph, AutoGen, CrewAI, or cloud-native equivalents (Bedrock Agents, Azure AI Agent Service, Vertex AI Agent Builder).
• Design agent orchestration patterns — planning, tool-calling, memory, and inter-agent communication — using protocols such as Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication standards.
• Establish guardrails, human-in-the-loop checkpoints, and evaluation frameworks specific to agentic workflows to manage autonomy risk, hallucination propagation, and cascading tool-call failures.
• Define reusable agent design patterns (single-agent vs. multi-agent, hierarchical vs. peer-to-peer orchestration) applicable across business domains.

3.      LLMOps & Production Engineering

• Architect robust LLMOps/MLOps pipelines to automate data ingestion, evaluation, versioning, and deployment.
• Design systems for real-time observability — establishing metrics, dashboards, and alerting frameworks for token consumption, drift, latency, throughput, agent-loop failures, and automated rollback strategies.
• Implement cost-management strategies (e.g., model caching, compute rightsizing, reserved cloud instances, agent-call budget controls) to optimize infrastructure spend.

• Governance, Security & Responsible AI

• Collaborate with security and compliance teams to enforce defense-in-depth principles (RBAC, private network segmentation, VPCs, and IAM encryption) for secure AI environments.
• Extend governance frameworks to agentic systems — action-level permission, tool-access scoping, and audit trails for autonomous decision-making.

Technical Leadership & Collaboration

• Serve as a trusted advisor to senior executives and cross-functional business heads, translating complex technical AI capabilities into clear business value.
• Mentor data scientists, MLOps engineers, and software developer teams, contributing reusable code, reference architectures, and Infrastructure-as-Code (IaC) templates.

Required Qualifications

• Deep, demonstrable expertise in at least one hyperscaler (AWS, Azure, or GCP); cloud AI/ML certifications (e.g., AWS Solutions Architect, AWS AI Practitioner, GCP Professional Cloud Architect, Azure AI Engineer) strongly preferred.
• Proven experience architecting and shipping Generative AI / LLM solutions at enterprise scale — RAG pipelines, semantic search, fine-tuning, and prompt/context engineering.
• Hands-on experience building or architecting multi-agent systems using frameworks such as LangGraph, AutoGen, CrewAI, Bedrock Agents, Azure AI Agent Service, or Vertex AI Agent Builder.
• Working knowledge of agent interoperability protocols such as Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication.
• Strong background in MLOps/LLMOps tooling — CI/CD for ML, model versioning, evaluation frameworks, and observability platforms (e.g., Arize, LangSmith, Datadog, or cloud-native equivalents).
• Solid grounding in AI governance, security, and responsible AI practices - IAM, VPC/network segmentation, data classification, RBAC, and audit/traceability for autonomous systems.
• Track record of translating business problems into scalable, production-ready AI architecture — including cost optimization (FinOps for AI) and infrastructure rightsizing.
• Bachelor's/Master’s/Phd. in Computer Science, Engineering, or related field;

Qualifications

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Why join Genpact?
•    Lead AI-powered transformation – Drive innovation and solve real-world business challenges that matter
•    Make an impact – Help global enterprises solve business challenges that matter 
•    Accelerate your career – Gain hands-on experience, mentorship, and world-class learning opportunities to stay ahead
•    Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day 
•    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.