The USCC Architecture and AI Engineering group is seeking a seasoned and visionary prinicipal Generative AI/AI Lead to guide our team and architect the next generation of intelligent systems. This is a pivotal role in driving our AI project execution, 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 leader who can mentor a talented team of engineers, collaborate effectively with business stakeholders, and steer our technical direction in the rapidly evolving landscape of Generative and Agentic AI.
Key Responsibilities
Architect & Design: Lead the design and architecture of complex, end-to-end AI systems, ensuring they are scalable, resilient, maintainable, and secure.
Strategize & Collaborate: Partner directly with business leaders and product managers to identify high-impact AI opportunities, define project roadmaps, and translate strategic business needs into a coherent technical vision.
Lead & Mentor: Manage, mentor, and develop a team of AI engineers, fostering a culture of innovation, technical excellence, and rapid, continuous learning. Provide technical guidance and oversight on all projects.
Govern & Standardize: Establish, implement, and enforce AI governance frameworks and MLOps best practices to ensure ethical, responsible, and compliant AI implementations across the organization.
Hands-On Leadership: Remain hands-on in development, guiding the implementation of advanced machine learning, deep learning, and Generative AI models and setting the standard for code quality.
Drive Innovation: Champion research into emerging AI technologies, tools, and methodologies. Drive proof-of-concept initiatives and make strategic recommendations for integrating cutting-edge solutions.
Oversee MLOps: Define and lead the strategy for MLOps, including the robust deployment, monitoring, and full lifecycle management of AI applications in containerized environments like OpenShift.
Required Skills and Qualifications
6+ years of experience in Gen AI application development, building and deploying solutions with large language models such as GPT, Gemini, Claude, and Llama.
Leadership & Management: Proven experience in a technical leadership or team management role, with a strong ability to mentor engineers, manage project priorities, and drive team performance.
Architectural Expertise: Demonstrated ability to design and architect scalable, high-availability, end-to-end AI and machine learning systems.
Business Acumen: Significant experience collaborating with non-technical business stakeholders to identify opportunities, define requirements, and articulate a clear AI strategy.
AI Governance: Strong understanding and practical experience in implementing governance, risk, and ethical guidelines for enterprise-grade AI solutions.
Expert Python Proficiency: Expert-level programming skills in Python and its core AI/ML ecosystem (e.g., NumPy, Pandas, Scikit-learn).
Deep AI/ML Expertise: Extensive, hands-on implementation experience with Machine Learning, Deep Learning, Generative AI, and Agentic AI systems.
Advanced Data Expertise: Proven expertise in designing and managing complex data handling, preprocessing, and validation pipelines for mission-critical AI applications.
Advanced MLOps: Deep, practical experience in MLOps, including containerization (Docker), orchestration (OpenShift/Kubernetes), CI/CD, and production deployment of AI models.
Bachelor's degree or equivalent practical experience.
Core Technical Stack & Expertise
The ideal candidate will have deep, hands-on expertise and strategic experience 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…