Senior AI Architect: GenAI & Multi-Cloud Platforms

Accenture

San Diego (CA)

On-site

USD 190,000 - 240,000

Full time

14 days+
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Job summary

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

You will lead end-to-end architecture, governance, security, MLOps, and Observability, guiding engineering teams from ideation to production deployment, with travel

Qualifications

  • AI/ML senior architect with full-stack cloud architecture experience.
  • Strong Python/Java skills and expertise in logging, monitoring, and observability.
  • Experience designing large-scale AI/ML solutions on major clouds.
  • Hands-on with AI platforms (Claude, LangGraph, CrewAI) and MLOps tooling.
  • Bachelor's degree or equivalent work experience (≥12 years).

Responsibilities

  • Architect enterprise-ready AI agent systems (retrieval, orchestration, observability).
  • Lead client and Accenture workshops to define requirements and TCO.
  • Evaluate technologies and design full-stack AI platforms.
  • Create reference architectures for multi-agent and governance.
  • Drive AgentOps/LLMOps and ensure security and cost efficiency.

Skills

Python
Java
Observability
Logging
Monitoring
Cloud platforms
AI platforms
Agent orchestration

Education

Bachelor's degree or equivalent

Tools

Claude
LangGraph
CrewAI
AutoGen
Bedrock

Job description

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

You will lead end-to-end architecture, governance, security, MLOps, and Observability, guiding engineering teams from ideation to production deployment, with travel

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