Sr​/Principal AI Architect

Senior AI Architect

A premiere client in a reputable healthcare organization is currently looking for a Senior AI Architect.

Purpose:

The Senior AI Architect position requires a high degree of technical expertise in at least two 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.

Work From Home Opportunity!!

Responsibilities:

The AI architect role spans the life cycle of AI solution development. The following paragraphs summarize the key responsibilities at each AI development stage.

• Develop Business Case
  - The AI architect works with business stakeholders and business owners to develop the architecture needed and clearly define the outcomes and success metrics.
• Data Discovery
  - The AI architect must work with information/data architects, analytics team members and data scientists to identify and make available the data required. In addition, the AI architect must be sensitive to the data's privacy, security and compliance issues.
• Model Selection
  - Depending on the business outcome sought, the AI solution development team will need to select the right foundation model to deliver the services needed. The AI architect will support the identification of the foundation model and ensure that it can address the needs of the business architecture.
• Model Training and Testing
  - The AI architect must work with stakeholders from across the IT organization to ensure that the right environment and computing resources are available for training and testing. This extends to ensuring that the data needed for testing and training is made available to the development team. The AI architect also supports the development of a training and testing plan, as well as the analysis of results and opportunities for improvement.
• Model Deployment
  - The AI architect will work with business and IT stakeholders to develop a roll-out plan for the AI solution.
• Continuous Monitoring
  - The AI architect will support the development of the monitoring plan and participate in the governance model if needed.

Key Deliverables

• 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

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
• 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,…