Senior AI Architect — Multi-Cloud Agentic AI & LLMOps Lead

Accenture

San Francisco (CA)

On-site

USD 163,000 - 414,000

Full time

9 days ago
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Job summary

Accenture is seeking an AI/ML Senior Architect to design and scale enterprise-grade AI platforms across public, private, and sovereign clouds. You will partner with clients to define AI strategy, architect reference solutions, and deliver AI agent frameworks leveraging GenAI and foundation models.

You will lead end-to-end architecture covering orchestration, governance, security, LLMOps, observability, and scalable knowledge architectures while guiding engineering teams from ideation to

Qualifications

  • 12+ years of experience in Python, Java, or equivalent.
  • 6+ years of experience with AI technologies from cloud providers, open source, and 3rd party tooling.
  • 4+ years in designing, engineering, and operationalizing large-scale AI/ML solutions on major public clouds.
  • 2+ years with AI platforms (Claude, open-source) and agentic orchestration tools.
  • Experience designing and implementing scalable Agentic AI and Generative AI platforms.

Responsibilities

  • Architect enterprise-ready AI agent systems: retrieval, orchestration, governance, evaluation, lifecycle observability.
  • Lead architecture workshops with client and Accenture teams; finalize requirements and TCO for AI solutions.
  • Evaluate, rationalize, and select technologies for full-stack AI platforms; build financial-viability models.
  • Design architectural blueprints (multi-agent, AI security, runtime, governance, DevOps, knowledge/data layer).
  • Design knowledge architectures (knowledge graphs, semantic layers) for enterprise-grade AI agents.
  • Architect for scalability, security, governance, and performance across clouds.
  • Create reusable AI components, agents, and solution patterns for repeatable delivery.
  • Stand up custom agent frameworks across providers (Bedrock, Claude); scalable reference architectures.
  • Oversee AgentOps, LLMOps, AI Governance, AI Security, Observability; drive MLOps pipelines.

Skills

Python/Java
AI platforms
Cloud AI services
Architectural design
MLOps/LLMOps
Security/Governance
Knowledge graphs

Education

Bachelor's degree or higher

Tools

LangGraph
CrewAI
Bedrock
Anthropic Claude Agent SDK

Job description

Accenture is seeking an AI/ML Senior Architect to design and scale enterprise-grade AI platforms across public, private, and sovereign clouds. You will partner with clients to define AI strategy, architect reference solutions, and deliver AI agent frameworks leveraging GenAI and foundation models.

You will lead end-to-end architecture covering orchestration, governance, security, LLMOps, observability, and scalable knowledge architectures while guiding engineering teams from ideation to

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