Principal AI Architect

The Senior Sr. Principal Architect position requires a high degree of technical expertise in at least 2 relevant domains such as AI solution development, data science, security, cloud, integrations, Healthcare IT or similar. As a Senior AI Architect, you will be challenged with aligning the AI strategy with the business strategy of multiple projects and/or department initiatives. You will lead the creation of best practices, policies, procedures, and other applicable AI documentation. You will collaborate with data scientists and other AI professionals to augment digital transformation efforts by identifying and piloting use cases. You will align technical implementation with existing and future requirements by gathering inputs from multiple stakeholders — business users, data scientists, security professionals, data engineers and analysts, and those in IT operations.

• Enterprise AI Reference Architecture
• AI Platform Blueprint (Azure, Foundry, hybrid)
• AI Governance & Risk Framework
• Model & Agent Evaluation Framework
• AI Engineering Standards
• Multi‑Agent System Architecture
• Cost & Performance Optimization Strategy
• AI Solution Architecture for major initiatives

• Bachelor's Degree in a related field with 15 years of relevant work experience.
• Deep expertise in cloud architecture, data platforms, ML/AI systems, security, and governance
• Has an Healthcare Payer knowledge of business and processes
• Healthcare IT experience required
• Strong understanding of LLMs, embeddings, vector databases, RAG, fine‑tuning, agents, tooling, observability
• Ability to design enterprise‑scale architectures with high‑risk data (PHI, PII)
• Leadership experience influencing CIO/CDO‑level strategy
• Understand the workflow and pipeline architectures of ML and deep learning workloads. An in-depth knowledge of components and architectural trade-offs involved in data management, governance, model building, deployment and production workflows of AI is a must.
• Translates business and technical requirements into an architectural blueprint to achieve business objectives; documents all AI solution architecture design and analysis work
• Supports the development and delivery of data strategy for AI solution training, testing and deployment
• Creates architectural designs to guide and contextualize AI solution development across products, services, projects and systems, including applications, technologies, processes and information
  
  
  Preferred Experience:
  • Deliver presentations to senior-level executives
  • Experience with such AI techniques as natural-language processing (NLP); computer vision; deep learning tools, such as PyTorch, TensorFlow and AI/ML; libraries, such as GitHub and Hugging Face