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Principal Generative AI Developer and Lead Analyst Vice President

Job in Irving, Dallas County, Texas, 75062, USA
Listing for: Citigroup
Full Time position
Listed on 2026-06-03
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
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.

** Key Responsibilities*
* +  
** 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.

** Required

Skills and Qualifications *
* +  
** 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.

** Core Technical Stack & Expertise*
* The ideal candidate will have hands-on experience or deep familiarity with the following technologies:

+  
** 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 Postgre

SQL (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.

** The Ideal Candidate*
* + You are a  
** builder at heart** , driven by a desire to create and experiment.

+ You thrive in a fast-paced environment and excel at  
** turning ideas into…
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