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GenAI Delivery Lead - Senior Vice President

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Citi

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Location:
India , Pune ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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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

Additional Information:

Job Posted:
March 04, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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