SR Principle Ai Architect(Health Care)

Key Deliverables

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

Qualifications

• Bachelor's Degree in a related field with 10 years of relevant work experience OR 14 years total relevant work experience.
• Deep expertise in cloud architecture, data platforms, ML/AI systems, security, and governance.
• Strong understanding of LLMs, embeddings, vector databases, RAG, fine-tuning, agents, tooling, observability.
• Leadership experience influencing CIO/CDO-level strategy.
• Understanding of workflow and pipeline architectures of ML and deep learning workloads.
• In-depth knowledge of components and architectural trade-offs involved in data management, governance, model building, deployment and production workflows of AI.
• 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.
• Develops data management strategies for AI model development, training and deployment.
• Articulates the business impact of AI solutions that translate technical performance into business success metrics.
• Demonstrates a good understanding of product management, agile principles and development methodologies.
• Deliver presentation skills to relevant stakeholders and technical audiences.
• Demonstrates a broad background implementing different architectures to meet differing needs.
• Strong written and verbal communication skills and possesses good presentation skills.
• Demonstrated ability to direct the implementation of diverse technologies in a complex organization.
• Diplomacy and interpersonal skills to lead others to provide inputs for the purpose of sharing with customers, partners, and higher management on vision and need for key technologies.
• Experience in software development and coding in various languages (C#, python, .NET, Java etc.).
• Healthcare IT experience REQUIRED.
• Has an Healthcare Payers knowledge of business and processes.
• 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.