Generative AI - Group Manager - Senior Vice President

Citi • Jersey City, NJ

1d • $176,720 - $265,080 • Onsite

About The Position

We are seeking a results-driven Generative AI group manager with end-to-end experience for execution and deployment of cutting-edge Generative AI solutions for Services Tech AI team. 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.

Requirements

• 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.
• Familiarity with frameworks that facilitate effective prompt design and management.
• 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, and extensive hands-on experience with AWS services for AI/ML.
• 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 (e.g., Microsoft's AI Guidance Framework).
• 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.
• 15+ 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.
• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field

Responsibilities

• 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.

Benefits

• medical, dental & vision coverage
• 401(k)
• life, accident, and disability insurance
• wellness programs
• paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

What This Job Offers

• Job Type: Full-time
• Career Level: Senior