AI Solution Architect - Agentic AI

About: Architects’ multi-agent and agentic workflow systems — the orchestration layer, memory design, and tool-use permission that keep autonomous systems reliable and safe. KEY RESPONSIBILITIES

Design multi-agent architectures — agent roles, coordination patterns, handoff logic (LangGraph, AutoGen, CrewAI)
Own agentic workflow design: task decomposition, tool-calling, memory/state management, including knowledge graphs for structured reasoning and long-term memory
Define guardrails: tool-use permission, kill switches, escalation paths for agent failure
Architect the evaluation framework for agentic systems in partnership with AI Assurance/QA
Lead technical design reviews for agent-based solutions before they reach build
Design fallback and human-in-the-loop patterns for high-stakes agent decisions
Mentor GenAI Engineers on architecture patterns and review their designs
Present agentic system risk/benefit tradeoffs to client technical and business stakeholders
Own architecture governance for agentic builds across the practice
Facilitate cross-team design reviews involving Security, Governance, and Platform Engineering

REQUIREMENTS & SKILLS

10–15+ yrs software/AI architecture, with 2+ yrs specifically in agentic/multi-agent systems
Deep knowledge of agent orchestration frameworks and their failure modes (loops, deadlocks, drift)
Evaluates and architects on managed agentic platforms as per area of specialization including Microsoft Azure AI Foundry Agent Service, AWS Bedrock Agents/Strands Agents, and Google Vertex AI Agent Builder; open-source orchestration (LangGraph, AutoGen, CrewAI) etc.
Strong systems-design fundamentals — distributed systems, state machines, event-driven architecture
Experience designing memory architectures (vector + graph-based) for long-running agents
Familiarity with agent evaluation methodologies and benchmarking approaches
Working knowledge of guardrail/governance tooling for agentic systems
Can defend an architecture decision under adversarial technical challenge from a client's own architects
Writes clear ADRs and architecture documentation that both engineers and executives can follow
Experience mentoring/leading a technical team, not just designing solo
Comfortable being the accountable technical owner when an agentic system fails in production