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

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)

AI Enterprise Solutions Architect

Key skills