AI Architect

· 15 or more years of experience in enterprise software architecture, platform architecture, AI/ML systems, data architecture, or enterprise platform delivery, including experience operating at enterprise scale.

· At least 2 years of dedicated, hands-on experience delivering LLM orchestration and agentic systems in production, including multi-agent orchestration, context management, and tool connectivity.

· Strong systems-thinking skills, with the ability to evaluate emergent behavior, failure modes, and downstream architectural consequences before solutions are implemented.

· Demonstrated ability to make, communicate, and defend principled architectural decisions.

· Experience designing AI/ML platform infrastructure, including cloud AI platform integration, LLMOps/MLOps tooling, deployment pipelines, observability, and runtime monitoring.

· Experience with LLM evaluation practices, including LLM-as-judge calibration, regression pipelines, prompt testing, and validation of probabilistic systems.

· Strong written and verbal communication skills, with the ability to create architecture decision records, technical standards, reference architectures, and other technical documentation.

· Demonstrated ability to collaborate effectively with stakeholders across Engineering, Security, Compliance, Data, Product, and business functions.

· Experience working in regulated data environments, including data governance, audit readiness, privacy boundaries, and compliance controls.