AI Business Unit 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.

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 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.

Required Skills and Qualifications

• 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.

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: 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.

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 functional prototypes quickly.

• You are a voracious learner, constantly keeping up-to-date with the latest research papers, open-source projects, and technology trends in AI.

• You are a proactive and collaborative team player with excellent communication skills.

• You are passionate about solving real-world problems and de