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    EYGBS logo

    Agentic Orchestration Lead

    EYGBS · Gurugram · onsite · Posted 1d ago

    Undisclosed10–15 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    Job Summary

    The Agentic Orchestration Lead will design, build, and operationalize the orchestration layer that enables enterprise-scale multi-agent systems. This role is critical to realizing the firm s agentic AI aspiration, ensuring agents can collaborate, delegate, reason, and act reliably across complex workflows while meeting enterprise standards for security, governance, observability, and lifecycle management.

    Essential Functions

    Orchestration Architecture & Patterns

    • Define and implement orchestration patterns for agentic systems, including Planner-executor, supervisor-worker, 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.

    Knowledge and Skills Requirements

    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

    A degree in Computer Science / Engineering or a related discipline; or equivalent work experience

    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)


    Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

    Sourced from naukri

    Skills

    AutomationAssuranceConsultingorchestrationmetadataEnterprise ArchitectureTOGAFComputer ScienceMicrosoftDistribution System

    About EY Global Delivery Services ( EY GDS)

    EYGBS logo

    EYGBS

    Accounting & Auditing

    40.0k+

    employees

    2002

    24 years old

    Bangalore/Bengaluru, Karnataka

    India

    ₹15.5L PA avg

    Avg at EY Global Delivery Services ( EY GDS)

    About

    EY Global Delivery Services (GDS) is a truly global delivery network of over 74,000 people working across the border to provide innovative and strategic business solutions to EY member firms.

    Industries

    Accounting & AuditingIT Services & Consulting

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