[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Citigroup jobs](https://jobs.opennash.com/companies/citigroup/) · [Search jobs](/search/) Citigroup · Pune Maharashtra India +1 more # Generative AI Engineering Lead Pune Maharashtra India +1 more Full-time Manager or lead Operations Listed on Citigroup’s official careers site. Posted September 16, 2026. Check that it is still open and apply there. [Apply on Citigroup’s careers site →](https://citi.wd5.myworkdayjobs.com/2/job/Pune-Maharashtra-India/Generative-AI-Engineering-Lead_26993075) [OpenNash Jobs](https://jobs.opennash.com/) / [Citigroup](https://jobs.opennash.com/companies/citigroup/) / Generative AI Engineering Lead ## Job description ### Job Overview We are seeking a results-driven Generative AI practitioner with end-to-end experience for the execution and deployment of cutting-edge Generative AI and agentic AI solutions across our enterprise-wide Controls Technology platform. In this role, you will be responsible for translating AI strategy into tangible, production-ready capabilities that enhance operational efficiencies and drive business value. We're looking for someone who combines deep technical expertise in generative AI — including context engineering, retrieval systems, knowledge graphs, and multi-agent orchestration — with a proven track record of successfully delivering complex technology projects. This role centers on architecting and delivering solutions built on pre-trained and hosted foundation models, not on training or fine-tuning models. ### Key Responsibilities GenAI Delivery Leadership: Execute the delivery roadmap for generative and agentic AI projects, ensuring alignment with business objectives and timelines. Manage the project lifecycle from ideation and scoping to deployment and post-launch support. ### Team Leadership & Mentorship Build, mentor, and manage a high-performing team of AI engineers and specialists. Foster a culture of execution, collaboration, and continuous improvement to successfully deliver on the AI roadmap. ### End-to-End Solution Delivery Oversee the design, development, and deployment of robust, scalable, and production-ready GenAI and agentic applications. Ensure all solutions meet rigorous performance, security, and quality standards before and after deployment. ### Agentic Solution Delivery Drive the design and delivery of agentic workflows and multi-agent systems, establishing standards for agent harnesses, orchestration patterns, and reliable long-running agent execution across the platform. ### Stakeholder & Program Management Serve as the primary point of contact for GenAI delivery. Manage stakeholder expectations, communicate project progress, identify and mitigate risks, and ensure on-time and on-budget delivery. ### Cross-Functional Partnership Collaborate closely with Data Mesh, Cloud Architecture, MLOps/LLMOps, and business unit teams to ensure the seamless integration and operationalization of GenAI and agentic solutions into our existing technology ecosystem. ### Technical Excellence & Best Practices Drive the adoption of best practices in software development (CI/CD), LLMOps, agent observability, and project management (Agile/Scrum) within the AI team to ensure efficient and repeatable delivery. ### Governance & Ethical Deployment Implement and enforce robust governance and ethical AI frameworks throughout the delivery process — including guardrails, agent isolation/sandboxing, and responsible AI practices — ensuring compliance with data privacy standards and corporate policies. ### Required Technical Skills Core Generative AI Concepts: Deep understanding of foundation models, LLMs, embeddings, tokenization, and context-window management. Fluent in applying pre-trained and hosted models to enterprise use cases. ### Context Engineering Expertise in advanced context engineering — context layering, chaining, compression, pruning/offloading, and memory management — to maximize reliability, provenance, and token efficiency in production. ### Prompt Engineering Adept at advanced prompt engineering techniques and best practices, with familiarity with frameworks that facilitate effective prompt design and management. ### Retrieval-Augmented Generation (RAG) Advanced knowledge of RAG techniques, including hybrid search, multi-vector retrieval, Hypothetical Document Embeddings (HyDE), self-querying, query expansion, re-ranking, and relevance filtering. ### Knowledge Graphs & Graph RAG Experience designing and delivering knowledge graphs (e.g., using graph databases such as Neo4j or ArangoDB) and Graph RAG architectures to enable multi-hop reasoning, explainability, and traceable, grounded responses for high-value business domains. ### Agentic AI & Multi-Agent Orchestration Proven experience delivering agentic systems using Google Agent Development Kit (ADK) and comparable frameworks (LangGraph, Microsoft Agent Framework, CrewAI, OpenAI Agents SDK), applying orchestration patterns such as supervisor/worker, hierarchical, and peer-to-peer. ### Agent Harness & Interoperability Strong grasp of harness engineering (governance, constraints, feedback loops, execution controls, agent isolation/sandboxing) and agent interoperability protocols — the Model Context Protocol (MCP) for tool/data access and the Agent2Agent (A2A) protocol for inter-agent collaboration. ### Machine Learning Frameworks & Cloud Computing Working knowledge of ML frameworks and extensive hands-on experience with AWS (or equivalent) services and infrastructure for AI/GenAI. ### Natural Language Processing (NLP) & AI Deployment Advanced NLP skills (NER, dependency parsing, text classification, topic modeling). Expertise in containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for LLMOps. ### Data Engineering & API Development Strong proficiency in data preprocessing, document ingestion, and handling large-scale datasets. Experience with real-time and streaming AI applications and designing RESTful APIs for model and agent integration. ### Generative AI Tools & Platforms Experienced with LangGraph, Autogen, CrewAI, LangChain, LlamaIndex, Hugging Face, and Google ADK. Familiarity with major GenAI APIs (OpenAI, Gemini, Claude) and version control systems like Git. ### Agent Observability & Evaluation Experience with tracing and evaluation tooling (e.g., OpenTelemetry-based observability) for production GenAI and agent systems. ### AI Compliance & Guardrails Knowledge of AI compliance frameworks and best practices. Experience implementing guardrails to ensure ethical AI usage and mitigate risks (e.g., Microsoft's AI Guidance Framework). ### Required Leadership & Soft Skills Delivery Leadership Proven ability to lead and deliver complex, large-scale technical projects from concept to production. ### Program Management Expertise in Agile/Scrum methodologies, project planning, resource allocation, and risk management. ### Strategic Execution Capacity to translate high-level AI strategy into a concrete, actionable delivery plan and execute it effectively. ### Stakeholder Management Exceptional ability to manage expectations, communicate complex technical topics clearly, and build strong relationships with both technical and non-technical stakeholders. ### Pragmatic Innovation A passion for applying cutting-edge GenAI and agentic technologies to solve real-world business problems in a practical and efficient manner. ### Problem Solving Proactive and analytical mindset to overcome technical and logistical challenges in a fast-paced environment. ### Qualifications Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field (PhD preferred). Total Experience of 14+ years. 8+ years of experience in AI/ML, with at least 3 years in Generative AI (including agentic AI). 5+ years of leadership experience managing technical teams and delivering complex software or AI solutions. Extensive hands-on experience with AWS services and infrastructure related to AI/GenAI. A strong portfolio of projects showcasing the successful delivery of AI solutions into a production business environment. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster. ## At a glance - Posted by the employer: Sep 16, 2026 - First seen by OpenNash: Oct 13, 2026 - Last checked: Oct 13, 2026 - Listed for: 27 days - Location: Pune Maharashtra India +1 more - Employment type: Full-time[Apply on Citigroup’s careers site →](https://citi.wd5.myworkdayjobs.com/2/job/Pune-Maharashtra-India/Generative-AI-Engineering-Lead_26993075) ## More jobs at Citigroup ### [Application Development Lead Analyst - PUNE](https://jobs.opennash.com/companies/citigroup/jobs/84894e4ae5204457ecb7/) Pune Maharashtra India +1 more ### [IOS Developer](https://jobs.opennash.com/companies/citigroup/jobs/62cb5e09a1fa397d7ab3/) Pune Maharashtra India +1 more ### [IT Quality Intermediate Analyst](https://jobs.opennash.com/companies/citigroup/jobs/0131f5a6ae70b5f404c8/) Pune Maharashtra India +1 more ### [Java Programmer analyst - Assistant Vice President](https://jobs.opennash.com/companies/citigroup/jobs/39771882538e2f8cf2a9/) Pune Maharashtra India +1 more ## Similar jobs at other companies ### [Program Analyst Sr – Generative AI, Prompt Engineering & Validation](https://jobs.opennash.com/companies/qualcomm/jobs/8f64c36a1c6917881f8f/) Qualcomm · Bangalore, India ### [Engineering Manager, Generative AI Engineering](https://jobs.opennash.com/companies/toyota-motor/jobs/f643c92de8fa85a5dedb/) Toyota Motor · Tokyo ### [AI Platform Engineer (Generative & Agentic AI)](https://jobs.opennash.com/companies/lenovo-group/jobs/90b98de1398b901efe9d/) Lenovo Group · Poland, Warsaw ### [Senior Software Engineer, Generative AI](https://jobs.opennash.com/companies/genuine-parts/jobs/86ebe3fcd4a3f3821f8d/) Genuine Parts · Krakow, Lesser Poland OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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