Senior Generative AI Engineer - Vice President

Citi•Irving, TX
•$125,760 - $188,640•Onsite

About The Position

The USCC Architecture and AI Engineering group is looking for a highly motivated and talented Senior Generative AI/AI Engineer to join their dynamic team. This role is pivotal in driving the company's AI strategy, from conceptualization through to production. The ideal candidate will be a technical expert who can collaborate effectively with business stakeholders and steer technical direction in the rapidly evolving landscape of Generative and Agentic AI. This position is a Vice President level role.

Requirements

  • At least 6+ years of relevant experience
  • Strong and efficient programming skills in Python, including deep familiarity with AI-centric libraries (e.g., NumPy, Pandas, Scikit-learn).
  • Solid understanding and practical implementation experience with machine learning algorithms and deep learning architectures (e.g., Transformers, CNNs, RNNs).
  • Demonstrable understanding of and hands-on experience with Generative AI, Large Language Models (LLMs), and Agentic AI frameworks.
  • Proven ability in handling and preprocessing large and complex datasets, including data cleaning, feature engineering, and validation.
  • Working experience or strong familiarity with MLOps principles, including containerizing applications using Docker and deploying on platforms like OpenShift or Kubernetes.
  • Strong analytical and problem-solving skills with the ability to tackle complex challenges independently.
  • Hands-on experience or deep familiarity with LLMs: Gemini, OpenAI models (GPT series), Copilot, Claude, Llama, and experience with Local Models.
  • Hands-on experience or deep familiarity with Frameworks: LangChain, LlamaIndex, and the Hugging Face ecosystem (Transformers, Datasets, Tokenizers).
  • Hands-on experience or deep familiarity with Orchestration: LangGraph and conceptual understanding of building Multi-Agent Systems.
  • Hands-on experience or deep familiarity with Development: Building production-ready services using Python, FastAPI, and asynchronous programming patterns.
  • Hands-on experience or deep familiarity with RAG (Retrieval-Augmented Generation): Advanced retrieval techniques using Vector DBs (e.g., Pinecone, Chroma) and PostgreSQL (with pgvector).
  • Hands-on experience or deep familiarity with ML/DL Platforms: PyTorch and/or TensorFlow for building and fine-tuning models.
  • Hands-on experience or deep familiarity with Deployment & Monitoring: Containerization with Docker, deploying production APIs, and implementing robust monitoring and logging.
  • Hands-on experience or deep familiarity with Applied AI Skills: Advanced Prompt Engineering, AI Workflow Design, and GenAI application optimization for cost, latency, and performance.

Responsibilities

  • 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.
  • Designing, building, and iterating on prototypes for Generative and Agentic AI applications with speed and agility, demonstrating the art of the possible.
  • Implementing, training, and fine-tuning a variety of machine learning and deep learning models to solve complex business problems.
  • Developing and maintaining clean, efficient, and scalable code for AI/ML systems, with a focus on production-level quality.
  • Engineering and managing sophisticated data handling and preprocessing pipelines to ensure high-quality data for training and inference.
  • Utilizing MLOps best practices to deploy AI applications in containerized environments like OpenShift, ensuring robust monitoring, scalability, and reliability.
  • Actively monitoring and researching the latest trends, breakthroughs, and tools in AI/ML. Presenting findings and leading proof-of-concept projects to integrate new technologies into our stack.
  • Working closely with senior engineers, architects, and product managers in a highly collaborative environment to translate business requirements into technical solutions.

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
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