Senior Solution Architect

About the role

The Agentic AI Solution Architect designs and delivers agentic systems that can be trusted in the enterprise. The role architects the full agent stack: workflows, tools, agents, human gates, orchestration, skills, prompts, memory and context, MCP integration, APIs and events. It builds in evaluation, observability, security, controlled autonomy and AgentOps from the start.

What you'll do

• Choose the right level of agency per use case: deterministic workflow, single agent with tools, or multi-agent system, and justify the choice on reliability, cost
• Design orchestration patterns (supervisor/worker, planner/executor, event-driven, graph-based
• Design tool and skill catalogs: clear contracts, schemas, permissions, idempotency, and error semantics. Engineer prompts and system instructions as versioned
• Design and integrate MCP servers and clients to expose enterprise systems, data
• Apply cloud-native, microservices, and resilience patterns (retries, timeouts, circuit breakers, idempotency

What you need

• 12–22 yrs of experience
• Git
• Python
• TypeScript
• Microservices
• AWS
• GCP
• M.Sc or B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA

Good to have

• Azure
• LLMs
• Incident response
• CI/CD
• RPA
• Cloud security