Agentic Orchestration Lead

Job Title Reports to Job Summary Essential Functions of the Job Orchestration Architecture & Patterns

• Define and implement orchestration patterns for agentic systems, including:
• Plannerexecutor, supervisorworker, hierarchical and swarm-based agent models
• Stateful vs stateless orchestration, synchronous vs event-driven flows
• Design orchestration layers that manage agent sequencing, routing, retries, and failover in multi-step workflows.

Agent-to-Agent Interoperability

• Build frameworks enabling agent-to-agent communication, collaboration, and task delegation across heterogeneous agents.
• Define common interaction contracts (schemas, metadata, reasoning traces, tool invocation protocols).
• Enable cross-agent context passing, memory sharing, and coordination without tight coupling.

SDKs & Frameworks for Orchestration

• Hands-on experience with leading orchestration SDKs, such as Microsoft Semantic Kernel and similar agent orchestration
• Azure AI Foundry / agent SDKs where relevant to orchestration flows
• Evaluate, extend, or build custom orchestration frameworks where off-the-shelf abstractions fall short.

Off-the-Shelf Orchestrators & Platforms

• Assess and integrate enterprise orchestration platforms (e.g., Moveworks, comparable agentic automation platforms) where appropriate.
• Define clear build vs buy decision criteria for orchestrators based on complexity, governance, extensibility, and cost.

MCP & Tooling Integration

• Integrate orchestrators with Model Context Protocol (MCP) servers, tool registries, and enterprise APIs.
• Standardize how agents discover, invoke, and chain tools via MCP or equivalent mechanisms.

Runtime Governance, Observability & Safety

• Embed runtime controls into orchestration:
• Guardrails, policy enforcement, approval checkpoints, and human-in-the-loop patterns
• Implement observability across agent workflows:
• Tracing, step-level logging, reasoning capture, latency and cost metrics
• Align orchestration with enterprise governance and lifecycle controls.

Leadership & Enablement

• Act as the technical authority for agentic orchestration.
• Coach engineers and architects on orchestration-first agent design.
• Partner with AI governance, security, platform, and business leads.

Core Technical Expertise

• Deep understanding of agentic architectures and orchestration patterns.
• Strong hands-on experience building multi-agent workflows end to end.
• Proven experience with orchestration SDKs (Semantic Kernel or equivalent)
• Experience integrating off-the-shelf agentic platforms (e.g., Moveworks or peer tools).

Integration & Platform Engineering

• API-first design mindset; experience orchestrating across microservices and tools.
• Familiarity with MCP servers, tool calling protocols, and agent tool registries.
• Experience with event-driven and async orchestration patterns.

Enterprise Readiness

• Strong appreciation of governance, security, and compliance in AI systems.
• Ability to design orchestration that scales across teams, domains, and use cases.
• Comfort working with ambiguity and shaping standards where none exist.

Job Requirements Education Experience

• 10+ years in a Global IT environment working with multiple disciplines to deliver projects in line with customer needs
• 3+ Years Global delivery or transformation preferably in large scale infrastructure programs
• 3+ Years in a global operations environment

Certification Requirements

• Microsoft Certified: Azure AI Engineer Associate (AI 102)
• Microsoft Certified: Azure Solutions Architect Expert (AZ 305)