AI Architect - Agentic AI & Enterprise Platforms

Responsibilities

• Translate business use cases and constraints into architecture requirements, measurable success criteria and an achievable implementation roadmap
• Develop target architectures, integration designs, and reusable patterns for AI solutions and platform capabilities, aligned with enterprise standards
• Evaluate models, agent frameworks, orchestration approaches, and enterprise platforms against quality, security, interoperability, reliability, latency and cost requirements
• Collaborate with domain specialists to address identity, authorization, data access, tool integration and interoperability across vendor platforms and existing systems
• Build focused prototypes or reference implementations, review technical designs and help engineers resolve architectural issues as solutions move into production
• Define evaluation criteria, observability, human oversight, failure handling and operational controls with engineering, security and responsible-AI teams
• Facilitate architecture workshops, reconcile input from client teams and vendors and document decisions, trade-offs, dependencies and implementation guidance
• Guide teams in applying agreed patterns and standards, mentor engineers on architecture and use delivery feedback to improve the design
• Translate relevant developments in agentic AI into practical recommendations grounded in client needs and implementation evidence

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