Senior Generative AI Engineer - Vice President

Responsibilities:

• Accountability :
  Executing and driving results on large-scale AI efforts or multiple smaller AI efforts and serving as a development lead for most medium and large AI projects. This includes expertise with application development methodologies, generative AI & AI and standards for program analysis, design, coding, testing, debugging and implementation.
• Develop & Prototype:
  Design, build, and iterate on prototypes for Generative and Agentic AI applications with speed and agility, demonstrating the art of the possible.
• Implement AI Models:
  Implement, train, and fine-tune a variety of machine learning and deep learning models to solve complex business problems.
• Build Robust Systems:
  Develop and maintain clean, efficient, and scalable code for AI/ML systems, with a focus on production-level quality.
• Manage Data Pipelines:
  Engineer and manage sophisticated data handling and preprocessing pipelines to ensure high-quality data for training and inference.
• Deploy & Operate:
  Utilize MLOps best practices to deploy AI applications in containerized environments like Open Shift, ensuring robust monitoring, scalability, and reliability.
• Innovate & Research:
  Actively monitor and research the latest trends, breakthroughs, and tools in AI/ML. Present findings and lead proof-of-concept projects to integrate new technologies into our stack.
• Collaborate:
  Work closely with senior engineers, architects, and product managers in a highly collaborative environment to translate business requirements into technical solutions.

• Atleast 6+ years of relevant experience
• Python Proficiency:
  Strong and efficient programming skills in Python, including deep familiarity with AI-centric libraries (e.g., Num Py, Pandas, Scikit-learn).
• ML/DL Foundation:
  Solid understanding and practical implementation experience with machine learning algorithms and deep learning architectures (e.g., Transformers, CNNs, RNNs).
• Generative AI
  
  Experience:
  
  Demonstrable understanding of and hands‑on experience with Generative AI, Large Language Models (LLMs), and Agentic AI frameworks.
• Data Expertise:
  Proven ability in handling and preprocessing large and complex datasets, including data cleaning, feature engineering, and validation.
• MLOps Awareness:
  Working experience or strong familiarity with MLOps principles, including containerizing applications using Docker and deploying on platforms like Open Shift or Kubernetes.
• Problem‑Solving:
  Strong analytical and problem‑solving skills with the ability to tackle complex challenges independently.

• LLMs:
  Gemini, OpenAI models (GPT series), Copilot, Claude, Llama, and experience with Local Models.
• Frameworks:
  Lang Chain, Llama Index, and the Hugging Face ecosystem (Transformers, Datasets, Tokenizers).
• Orchestration:
  Lang Graph and conceptual understanding of building Multi‑Agent Systems.
• Development:
  Building production‑ready services using Python, FastAPI, and asynchronous programming patterns.
• RAG (Retrieval‑Augmented Generation):
  Advanced retrieval techniques using Vector DBs (e.g., Pinecone, Chroma) and PostgreSQL (with pgvector).
• ML/DL Platforms:
  PyTorch and/or Tensor Flow for building and fine‑tuning models.
• Deployment & Monitoring:
  Containerization with Docker, deploying production APIs, and implementing robust monitoring and logging.
• Applied AI
  
  Skills:
  
  Advanced Prompt Engineering, AI Workflow Design, and GenAI application optimization for cost, latency, and performance.

• Bachelor’s in Engineering degree, or equivalent work experience

Job Family Group:
Technology

Job Family:
Applications Development

Time Type:
Full time

Primary

Location:

Irving Texas United States

Primary Location Full Time Salary Range: $ - $

In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards.

Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs.

Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays.

For additional information regarding Citi employee benefits, please visit  Available offerings may vary by jurisdiction, job level, and date of hire.

Anticipated Posting Close Date:
Sep 11, 2026

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 w Citi’s EEO Policy Statement and the Know Your Rights poster.