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Ai Business Unit Lead Analyst - Vice President

https://www.citi.com/ Logo

Citi

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Location:
United States , Irving

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

125760.00 - 188640.00 USD / Year
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Job Description:

The USCC Architecture and AI Engineering group is at the forefront of technological innovation, and we are looking for a highly motivated and talented Generative AI/AI Engineer to join our dynamic team. This is an exciting opportunity to work on cutting-edge AI solutions that will shape the future of our industry. We are seeking a hands-on individual with a passion for rapid prototyping, a deep curiosity for emerging technologies, and the drive to turn ambitious ideas into reality. If you are eager to build, learn, and grow in the fast-paced world of Generative and Agentic AI, this role is for you.

Job Responsibility:

  • 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 OpenShift, 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

Requirements:

  • Python Proficiency: Strong and efficient programming skills in Python, including deep familiarity with AI-centric libraries (e.g., NumPy, 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 OpenShift or Kubernetes
  • Problem-Solving: Strong analytical and problem-solving skills with the ability to tackle complex challenges independently
  • Education: Bachelor's Degree or equivalent work experience
  • LLMs: Gemini, OpenAI models (GPT series), Copilot, Claude, Llama, and experience with Local Models
  • Frameworks: LangChain, LlamaIndex, and the Hugging Face ecosystem (Transformers, Datasets, Tokenizers)
  • Orchestration: LangGraph 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 TensorFlow 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
What we offer:
  • 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

Additional Information:

Job Posted:
May 06, 2026

Expiration:
May 06, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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