Senior Generative AI Engineer - 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 Senior 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. This is a pivotal role in driving our AI strategy, from conceptualization through to production.

We are looking for an expert with a proven track record in designing and delivering robust, scalable, and well-governed AI solutions. The ideal candidate will be a technical expert collaborate effectively with business stakeholders, and steer our technical direction in the rapidly evolving landscape of Generative and Agentic AI.

• 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…