AI Solution Architect

Design and deliver end-to-end AI and agentic solutions across data, models, orchestration, integrations, security, deployment, and operations.

Translate business problems into clear technical architectures and delivery plans, including deciding when agentic AI is appropriate versus simpler automation.

Prototype, develop, test, and harden solutions to production standards, ensuring reliability, scalability, observability, and cost control.

Architect and implement multi-agent systems capable of planning, reasoning, and acting through tools and workflows.

Design scalable agents that interact with enterprise systems using tools and services.

Apply guardrails, safety controls, iteration limits, and human-in-the-loop mechanisms to ensure controlled and auditable agent behavior.

Architect clean integrations with ERP and other complex enterprise platforms using APIs, events, and workflow orchestration.

Collaborate with platform, security, and application teams to align solutions with enterprise constraints and policies.

Define and maintain enterprise AI architecture standards, reference architectures, design patterns, and approved technology stacks.

Establish governance checkpoints, including architecture reviews, security and responsible AI controls, and pre–go-live readiness.

• Build reusable CoE assets such as templates, checklists, decision trees, evaluation scorecards, and runbooks.