GenAI Tech Lead 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.

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
Oversee the design, development, and deployment of robust, scalable, and production-ready GenAI models
Serve as the primary point of contact for GenAI delivery
Manage stakeholder expectations, communicate project progress, identify and mitigate risks
Collaborate closely with Data Mesh, Cloud Architecture, MLOps, and business unit teams
Drive the adoption of best practices in software development, MLOps, and project management within the AI team
Implement and enforce robust governance and ethical AI frameworks throughout the delivery process

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field (PhD preferred)
Overall 14+ Years 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
Expertise in model compression and quantization methods
Proficiency with optimized inference engines
Adept at advanced prompt engineering techniques
Advanced knowledge of RAG techniques
Proficiency in TensorFlow, PyTorch, and Keras
Knowledge of distributed training, parallel processing
Advanced NLP skills
Experience with Transfer Learning, Few-shot, and Zero-shot learning
Expertise in containerization, orchestration, 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
Experienced with LangGraph, Autogen, Crew.ai, LangChain, LlamaIndex, and Hugging Face Transformers
Familiarity with Gen AI APIs and version control systems like Git
Knowledge of AI compliance frameworks and best practices
Proven ability to lead and deliver complex, large-scale technical projects
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
Exceptional ability to manage expectations, communicate complex technical topics clearly, and build strong relationships
A passion for applying cutting-edge AI technologies to solve real-world business problems
Proactive and analytical mindset to overcome technical and logistical challenges

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GenAI Tech Lead

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