Senior Manager, AI Developer (LLM & Intelligent Systems Engineering

Ready to shape the future of work
At Genpact we dont just adapt to changewe drive it. AI and digital innovation are redefining industries and were leading the charge. Genpacts AI Gigafactory our industry-first accelerator is an example of how were 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 tech-driven environment love solving real-world problems and want to be part of a team thats shaping the future 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 and on LinkedIn X YouTube and Facebook.
Inviting applications for the role of Senior Manager AI Developer (LLM & Intelligent Systems Engineering)
In this role we are seeking an experienced AI Developer to design and build intelligent AI-powered systems leveraging large language models (LLMs) semantic search and modern orchestration frameworks.
This role focuses on building scalable AI applications that integrate structured and unstructured data implement advanced prompt and context engineering strategies and enable semantic lexical and graph-based search capabilities in a cloud-native environment.
The ideal candidate combines hands-on LLM application development expertise with strong Python engineering and data integration capabilities.

Responsibilities
AI Application Development & Orchestration
Design and develop LLM-powered applications using frameworks such as LangChain / LangGraph
Build intelligent orchestration workflows integrating AI services with enterprise systems
Develop modular AI agents using reasoning frameworks (e.g. React Chain-of-Thought)
Integrate AI workflows with cloud-based orchestration tools
Implement scalable and maintainable AI pipelines

Prompt & Context Engineering
Design advanced prompts for reasoning retrieval summarization and decision workflows
Implement memory strategies (short-term and long-term memory management)
Optimize context window management for performance and accuracy
Build retrieval-augmented generation (RAG) architectures
Continuously evaluate and refine prompt effectiveness

Semantic Lexical & Graph-Based Search
Implement semantic search using embeddings and vector stores
Enable lexical and hybrid search strategies
Integrate graph databases for relationship-based querying and reasoning
Design indexing strategies for unstructured content (PDFs images documents)
Build intelligent knowledge retrieval systems

Data Engineering & Integration
Develop pipelines to ingest and transform structured and unstructured data
Work with modern data platforms (e.g. Snowflake NoSQL databases GraphDBs)
Enable data transformation into optimized formats (columnar vectorized graph-based)
Ensure data quality governance and traceability within AI workflows
Collaborate with data engineering teams on scalable architecture design

Cloud & Platform Engineering
Build AI solutions within cloud ecosystems (Azure/AWS/GCP)
Integrate AI services with enterprise databases and APIs
Implement secure scalable and observable AI systems
Ensure performance optimization and cost-efficient architecture

Qualifications we seek in you!
Minimum Qualifications-
Technical Skills
Strong programming expertise in Python
Hands-on experience with LLM orchestration frameworks (e.g. LangChain LangGraph)
Experience with prompt engineering and reasoning frameworks (ReAct Chain-of-Thought)
Experience implementing RAG architectures
Familiarity with vector databases and embedding models
Experience working with Graph Databases (e.g. Neo4j or similar)
Strong understanding of search architectures (semantic lexical)
Experience integrating AI systems with modern data platforms

Preferred Qualifications/ Skills
Experience working with Snowflake or other cloud data warehouses
Experience with NoSQL databases (e.g. MongoDB)
Exposure to workflow orchestration tools (e.g. Camunda or similar)
Knowledge of multimodal AI (text documents images formula parsing)
Experience building production-grade AI systems in regulated or enterprise environments

Soft Skills
Strong problem-solving mindset with systems thinking
Ability to translate business use cases into AI-driven solutions
Strong documentation and technical communication skills
Comfortable working in cross-functional agile teams

Why join Genpact
Be a transformation leader Work at the cutting edge of AI automation and digital innovation
Make an impact Drive change for global enterprises and solve business challenges that matter
Accelerate your career Get hands-on experience mentorship and continuous learning opportunities
Work with the best Join 140000 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 tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up.
Lets 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.