Lead AI Engineer 4C

About the job

Lead AI Engineer 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 We are looking for an experienced AI Developer to design, develop, and deliver enterprise-scale AI solutions leveraging Generative AI, Agentic AI, Machine Learning, and Data Science . The ideal candidate should have hands-on experience building production-ready AI applications, architecting scalable AI solutions, and driving innovation using Large Language Models (LLMs), AI Agents, and cloud-native technologies. This role requires a combination of strong technical expertise, solution design capabilities, and leadership skills to deliver end-to-end AI solutions. You will collaborate with Data Scientists, Architects, Product Managers, Engineering teams, and business stakeholders to transform complex business challenges into scalable AI-powered solutions while mentoring teams and driving engineering excellence. Key Responsibilities

- Design, develop, and deploy enterprise AI, Machine Learning, and Generative AI solutions for complex business use cases.

- Build AI-powered copilots, intelligent assistants, autonomous agents, and workflow automation solutions using modern Agentic AI frameworks.

- Architect and implement Retrieval-Augmented Generation (RAG) solutions using embeddings, vector databases, semantic search, and enterprise knowledge repositories.

- Develop scalable AI services, APIs, and cloud-native applications using Python and modern software engineering practices.

- Collaborate with Data Scientists to operationalize Machine Learning models and advanced analytics solutions in production.

- Drive prompt engineering, model evaluation, fine-tuning, and optimization of LLM-based applications.

- Define AI solution architecture, integration patterns, scalability, security, and deployment strategies across enterprise platforms.

- Implement MLOps and LLMOps practices, including model lifecycle management, monitoring, observability, governance, and Responsible AI.

- Lead technical discussions, perform architecture and code reviews, mentor development teams, and promote engineering best practices.

- Partner with clients and business stakeholders to understand requirements, define AI roadmaps, and deliver high-impact AI solutions.

- Drive innovation through Proof of Concepts (PoCs), reusable AI accelerators, and adoption of emerging AI technologies. Required Skills & Experience

- 6–10 years of experience in AI/ML, Data Science, or enterprise software development.

- Strong programming expertise in Python, SQL, and API development.

- Hands-on experience with Machine Learning, Deep Learning, NLP, statistical modeling, and predictive analytics.

- Experience designing and deploying production-grade Generative AI and LLM-powered applications.

- Strong understanding of Prompt Engineering, RAG, embeddings, vector databases, semantic search, and AI evaluation techniques.

- Experience with Agentic AI frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, or similar.

- Experience integrating OpenAI, Azure OpenAI, Gemini, Claude, AWS Bedrock, or equivalent foundation models into enterprise applications.

- Hands-on experience with cloud platforms (AWS, Azure, or GCP), Docker, Kubernetes, and CI/CD pipelines.

- Strong understanding of MLOps, LLMOps, Responsible AI, AI governance, and model monitoring.

- Excellent analytical, communication, stakeholder management, and mentoring skills. Leadership Expectations

- Own the technical delivery of AI and Generative AI initiatives from solution design through production deployment.

- Provide technical leadership and mentor AI Engineers, Data Scientists, and cross-functional development teams.

- Drive architecture decisions, engineering standards, code quality, and AI best practices across projects.

- Collaborate with business leaders, clients, and solution architects to identify AI opportunities and define scalable solution strategies.

- Support solutioning, estimations, technical proposals, and innovation initiatives for AI-led engagements.

- Build reusable AI frameworks, accelerators, and reference architectures to improve delivery efficiency and scalability. Good to Have

- Experience with Model Context Protocol (MCP), GraphRAG, Knowledge Graphs, or multimodal AI.

- Experience with Databricks, Snowflake, Spark/PySpark, or enterprise data platforms.

- Exposure to AI observability, evaluation frameworks, and guardrails for enterprise AI applications.

- AI/ML or Cloud certifications (Microsoft, AWS, Google Cloud, Databricks) are an added advantage. Educational Qualification Bachelor's or Master's degree (preferred) in Computer Science, Artificial Intelligence, Data Science, Engineering, Mathematics, Statistics, or a related field.

Qualifications

Certifications

Required Skills AI/ML Ops, Data Science, Developer Relations, Python (Programming Language), Python for Data Analysis, Structured Query Language (SQL) Development Language English (Required) Language Proficiency - Proficient - C2 Additional Job Location -

Job Type Regular Master Skill List - Advanced Analytics / AI / ML Remote Type - Hybrid Work Shift - Any (India) 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.