AI Solution Architect - Agentic AI

About the role

We are seeking an AI Solution Architect to design and govern multi‑agent and agentic workflow systems. You will be responsible for the orchestration layer, memory design, and tool‑use permissioning that keep autonomous systems reliable and safe.

Key responsibilities

• Design multi‑agent architectures, including agent roles, coordination patterns, and handoff logic using frameworks such as LangGraph, AutoGen, and CrewAI.
• Own agentic workflow design: task decomposition, tool‑calling, memory/state management, and knowledge‑graph integration for structured reasoning and long‑term memory.
• Define guardrails, tool‑use permissioning, kill switches, and escalation paths for agent failure.
• Architect evaluation frameworks for agentic systems in partnership with AI Assurance/QA.
• Lead technical design reviews for agent‑based solutions before build.
• Design fallback and human‑in‑the‑loop patterns for high‑stakes decisions.
• Mentor GenAI engineers on architecture patterns and review their designs.
• Present risk/benefit trade‑offs to client technical and business stakeholders.
• Own architecture governance for agentic builds across the practice and facilitate cross‑team design reviews involving Security, Governance, and Platform Engineering.

Required profile

• 10–15+ years of software/AI architecture experience, with at least 2 years focused on agentic or multi‑agent systems.
• Deep knowledge of agent orchestration frameworks, failure modes (loops, deadlocks, drift), and managed agentic platforms such as Microsoft Azure AI Foundry Agent Service, AWS Bedrock Agents/Strands Agents, and Google Vertex AI Agent Builder.
• Strong systems‑design fundamentals in distributed systems, state machines, and event‑driven architecture.
• Experience designing memory architectures (vector + graph‑based) for long‑running agents.
• Familiarity with agent evaluation methodologies, benchmarking, and guardrail/governance tooling.
• Ability to defend architecture decisions under adversarial technical challenge and write clear ADRs and documentation.
• Proven experience mentoring and leading technical teams, and taking accountability for production failures.

Required skills

• LangGraph
• AutoGen
• CrewAI
• Microsoft Azure AI Foundry Agent Service
• AWS Bedrock Agents / Strands Agents
• Google Vertex AI Agent Builder
• Distributed systems design
• State machines
• Event‑driven architecture
• Vector and graph‑based memory architectures
• Agent evaluation and benchmarking
• Guardrail and governance tooling for agentic systems