Principal Generative AI Developer and Lead Analyst Vice President

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.

• Design, build, and iterate on prototypes for Generative and Agentic AI applications with speed and agility, demonstrating the art of the possible.
• Implement, train, and fine‑tune a variety of machine learning and deep learning models to solve complex business problems.
• Develop and maintain clean, efficient, and scalable code for AI/ML systems, with a focus on production‑level quality.
• Engineer and manage sophisticated data handling and preprocessing pipelines to ensure high‑quality data for training and inference.
• Utilize MLOps best practices to deploy AI applications in containerized environments like Open Shift, ensuring robust monitoring, scalability, and reliability.
• 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 the stack.
• Work closely with senior engineers, architects, and product managers in a highly collaborative environment to translate business requirements into technical solutions.

• Python proficiency:
  Strong and efficient programming skills in Python, including deep familiarity with AI‑centric libraries (Num Py, Pandas, Scikit‑learn).
• ML/DL foundation:
  Solid understanding and practical implementation experience with machine learning algorithms and deep learning architectures (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 databases (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.

• Builder at heart, driven by a desire to create and experiment.
• Thrives in a fast‑paced environment and excels at turning ideas into functional prototypes quickly.
• Voracious learner, constantly keeping up‑to‑date with the latest research papers, open‑source projects, and technology trends in AI.
• Proactive and collaborative team player with excellent communication skills.
• Passionate about solving real‑world problems and delivering tangible impact through technology.

• Bachelor’s degree, university degree, or equivalent experience.

Primary

Location:

Irving, Texas, United…