1 day ago
Bengaluru, IndiaStaff+
Responsibilities
- Design multi-agent and tool-using AI architectures for complex business workflows.
- Define orchestration, planning, state, memory, context, tool-access, and human-approval patterns.
- Make architecture decisions across models, retrieval, applications, data, APIs, security, and cloud.
- Establish requirements for latency, throughput, resilience, cost, and auditability.
- Guide engineering teams from design through deployment and operations.
- Define evaluation, observability, guardrails, fallback, and incident-management patterns.
- Lead architecture reviews and senior client discussions.
Requirements
- At least 12 years of professional experience.
- 15 years of full-time education.
- Strong Machine Learning expertise.
- Experience with LLM orchestration, tool calling, workflow engines, RAG, and memory architectures.
- Experience with distributed systems, APIs, event-driven architecture, cloud, and enterprise integration.
- Experience with LLMOps, tracing, evaluation, security, identity, access control, and cost optimization.
- Experience making build-versus-buy and model-selection trade-offs.
- Must have architected and delivered production AI or ML systems at enterprise scale; reference architectures, demos, or vendor-platform configuration alone are insufficient.
- Expertise selecting and governing LangGraph, OpenAI Agents SDK, Google ADK, Microsoft Foundry Agent Service, Vertex AI Agent Builder, Amazon Bedrock Agents, and MCP-based tool integration.
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About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.