GenAI Delivery Lead - Senior Vice President Job at Citi (Pune)

Job Description

We are seeking a results-driven Generative AI practitioner with end-to-end experience for execution and deployment of cutting-edge Generative 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 with a proven track record of successfully delivering complex technology projects.

Job Responsibility

Execute the delivery roadmap for generative AI projects, ensuring alignment with business objectives and timelines
Manage the project lifecycle from ideation and scoping to deployment and post-launch support
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
Oversee the design, development, and deployment of robust, scalable, and production-ready GenAI models
Ensure all solutions meet rigorous performance, security, and quality standards before and after deployment
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
Collaborate closely with Data Mesh, Cloud Architecture, MLOps, and business unit teams to ensure the seamless integration and operationalization of AI models into our existing technology ecosystem
Drive the adoption of best practices in software development (CI/CD), MLOps, and project management (Agile/Scrum) within the AI team to ensure efficient and repeatable delivery
Implement and enforce robust governance and ethical AI frameworks throughout the delivery process, ensuring compliance with data privacy standards and corporate policies

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field (PhD preferred)
Overall 14 years of experience
8+ years of experience in AI/ML, with at least 3 years in Generative 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/ML
A strong portfolio of projects showcasing the successful delivery of AI solutions into a production business environment
Deep knowledge of LLMs and advanced fine-tuning techniques
Proficient in Parameter-Efficient Fine-Tuning (PEFT) methods (LoRA, QLoRA, Adapter Tuning, Prefix Tuning), full fine-tuning, instruction tuning, and agentic AI techniques (RLHF, multi-task learning)
Expertise in model compression and quantization methods (AWQ, GPTQ, GPTQ-for-LLaMA)
Proficiency with optimized inference engines such as vLLM, DeepSpeed, and FP6-LLM
Adept at advanced prompt engineering techniques and best practices
Advanced knowledge of RAG techniques, including hybrid search, multi-vector retrieval, Hypothetical Document Embeddings (HyDE), self-querying, query expansion, re-ranking, and relevance filtering
Proficiency in TensorFlow, PyTorch, and Keras
Knowledge of distributed training, parallel processing
Advanced NLP skills (NER, Dependency Parsing, Text Classification, Topic Modeling)
Experience with Transfer Learning, Few-shot, and Zero-shot learning
Expertise in containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for MLOps
Strong proficiency in data preprocessing, feature engineering, and handling large-scale datasets
Experience with real-time AI applications, streaming data, and designing RESTful APIs for model integration
Experienced with LangGraph, Autogen, Crew.ai, LangChain, LlamaIndex, and Hugging Face Transformers
Familiarity with Gen AI APIs (OpenAI, Gemini, Claude) and version control systems like Git
Knowledge of AI compliance frameworks and best practices
Experience implementing guardrails to ensure ethical AI usage and mitigate risks
Proven ability to lead and deliver complex, large-scale technical projects from concept to production
Expertise in Agile/Scrum methodologies, project planning, resource allocation, and risk management
Capacity to translate high-level AI strategy into a concrete, actionable delivery plan and execute it effectively
Exceptional ability to manage expectations, communicate complex technical topics clearly, and build strong relationships with both technical and non-technical stakeholders
A passion for applying cutting-edge AI technologies to solve real-world business problems in a practical and efficient manner
Proactive and analytical mindset to overcome technical and logistical challenges in a fast-paced environment

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GenAI Delivery Lead - Senior Vice President

Job Description

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