AI Enterprise Solutions Architect

Posted 29ds ago

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Job Description

AI Enterprise Architect driving end-to-end AI solutions in a healthcare-focused company. Collaborating globally to define and govern AI architectures and standards.

Responsibilities:

  • Consulting across corporate functions and business units to translate business needs into end‑to‑end AI solution architectures
  • Defining and maintaining enterprise AI reference architectures, standards, and reusable patterns
  • Leading build / buy / partner architectural decision‑making, including platform strategy, vendor evaluation, integration approaches, and long‑term ecosystem fit
  • Designing and governing modern AI architectures, including Generative AI, LLMs, agentic systems, and the data and knowledge layers that enable them
  • Embedding responsible AI considerations into solution designs, addressing data governance, privacy, compliance, and risk management requirements

Requirements:

  • Bachelor’s Degree or higher
  • 12+ years of experience in enterprise, solution, or platform architecture roles
  • 5 years' experience designing and governing enterprise data architectures
  • 3 years experience architectural leadership across Generative AI, LLMs, and agentic architectures
  • Experience guiding AI initiatives from early discovery through development, production deployment, and long‑term lifecycle management
  • Experience incorporating security, privacy, compliance, and responsible AI requirements into solution architectures
  • Ability to lead through influence, partnering effectively with business leaders, product teams, engineering, data, security, and governance stakeholders
  • Master’s Degree or higher in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related field (additional qualification)
  • Experience operating within or establishing an Enterprise AI Center of Excellence or enterprise architecture function (additional qualification)
  • Familiarity with AI platform operations, including model lifecycle management, observability, and governance frameworks (additional qualification)
  • Experience working in regulated industries such as healthcare, life sciences, or medical technology (additional qualification)

Benefits:

  • Medical, Dental & Vision
  • Health Savings Accounts
  • Health Care & Dependent Care Flexible Spending Accounts
  • Disability Benefits
  • Life Insurance
  • Voluntary Benefits
  • Paid Absences
  • Retirement Benefits