Senior technical voice for internal AI work; owns buildable architecture.
Partner with business solutions lead; defines how a solution is built.
Own reference architecture, data & integration design, model/agent/platform selection, security & governance fit, and standards.
Stay current on AI platform, models, agents, and tooling; align designs with best practices.

🎯 Requirements

Bachelor's degree in CS/Engineering or related field.
12+ years in solution/enterprise architecture or ML/AI engineering.
Design end-to-end AI/ML architectures with data flows and security.
Strong command of modern AI stack: LLMs, agents, retrieval (RAG).
Hands-on with cloud platforms (Google Cloud) and IaC, CI/CD, Git.
Produce clear, buildable architecture artifacts for engineers/executives.
Knowledge of security, data classification, responsible AI in enterprises.

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