Responsible for developing and maintaining enterprise wide AI architecture across classic ML, GenAI, and agentic AI systems.
Drive the strategic direction for agentic AI architecture, including multi agent frameworks, tool use orchestration, reasoning pipelines, memory systems, and governance models for autonomous and semi-autonomous AI capabilities.
Collaborate closely with cross-functional partners—including Data Science, MLOps, Cloud Engineering, Security, and Business Units—to define and execute high level AI architecture strategies aligned with enterprise objectives.
Shape the planning and implementation of AI platforms and solutions that ensure scalability, reliability, security, safety, and responsible AI compliance across all AI modalities.
Establish architectural standards, reference architectures, and best practices for classic ML platforms, LLM/GenAI systems, and agentic AI ecosystems.
Evaluate emerging AI technologies, frameworks, vector databases, orchestration layers, and agent frameworks to guide innovation and long term platform evolution.
Provide architectural oversight for AI solution design, ensuring alignment with enterprise cloud architecture (AWS preferred), data strategy, and regulatory requirements.
Partner with leadership to prioritize AI initiatives, influence technology roadmaps, and ensure seamless integration of AI systems into core business processes.

6 or more years of experience in AI technology or AI architecture.
Demonstrated experience architecting solutions for machine learning, LLM/GenAI platforms, or intelligent automation systems.
Proven leadership skills with the ability to inspire and mentor architects, engineers, and planners supporting enterprise AI initiatives.
Strong background in project leadership, steering large-scale or complex AI architecture programs from conception to implementation.
Deep understanding of cloud-native architecture (preferably AWS), security frameworks, data platforms, and modern AI/ML deployment patterns.
Experience with architectural frameworks (e.g., TOGAF, FEAF) and enterprise technology strategy development.

Senior AI Architect

Key skills