Principal Consultant GenAI Engineer

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.
Inviting applications for the role of Principal Consultant - GenAI Engineer
We are looking for a highly skilled GenAI Engineer with deep expertise in Agentic AI systems, multiagent orchestration, and the design of communication frameworks for autonomous AI agents. This role involves building productiongrade AI ecosystems that utilize LLM-driven agents, autonomous workflows, retrieval systems, and cloud-native deployments. The ideal candidate has strong experience in Python, LLM orchestration frameworks, and enterprise-grade AI applications.

Responsibilities
1. Agentic AI & MultiAgent System Development
Design and implement agent-based AI architectures using frameworks like CrewAI, LangChain Agents, AutoGen, or custom agent orchestration layers.
Build collaborative multi-agent workflows for reasoning, planning, tool usage, task delegation, and asynchronous communication.
Develop protocols for agent-to-agent messaging, memory sharing, context propagation, and feedback loops.

2. AI Application Engineering
Build Python-based GenAI applications integrating LLMs, vector retrieval, multi-agent pipelines, and autonomous task flows.
Implement RAG (Retrieval-Augmented Generation) and Agentic RAG patterns for knowledge-grounded interaction.
Develop domain-specific reasoning modules for enterprise or healthcare applications.
3. LLM Integration & Optimization
Integrate APIs from OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini, etc.
Optimize multi-agent reasoning by tuning model parameters (temperature, topp, token windows).
Reduce hallucinations using embedding-based retrieval, context injection strategies, and multi-agent verification loops.
4. Multi-Agent Coordination Frameworks
Implement agent negotiation, role-based collaboration, and tool-using agents.
Build message buses, orchestration layers, or event-driven protocols for inter-agent communication.
Develop evaluation methods for agent reliability, consensus scoring, and chainofthought verification.
5. API & Microservices Development
Design and maintain scalable RESTful and event-driven microservices for AI workflows.
Secure AI endpoints using OAuth2, JWT, API throttling, and gateway routing.
Build agent task endpoints, vector search APIs, and orchestration services.
6. Cloud Deployment & MLOps
Deploy agent-based AI systems on AWS, Azure, or Kubernetes.
Use Docker, CI/CD pipelines, and cloud orchestration for scalable model deployment.
Manage observability, logging, monitoring, and autoscaling for multi-agent workloads.
7. Agile Delivery & Innovation
Work within Scrum teams to deliver incremental AI capabilities and autonomous features.
Contribute to architecture design reviews, POCs, and solution accelerators for enterprise AI adoption.

Qualifications we seek in you!
Minimum Qualifications / Skill
.8+ years overall experience, with 4+ years in AI/ML, multi-agent systems, or LLM-based solutions.
.Strong expertise in Agentic AI design, LLM orchestration, autonomous workflows, and RAG architecture.
.Hands-on experience building scalable, secure, cloud-native AI platforms.
.Excellent understanding of vector retrieval, embeddings, and model evaluation.
.Problem-solving attitude
.Team spirit
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 %27starter kit,%27 paying to apply, or purchasing equipment or training.