Senior Enterprise AI Platform Architect

Accenture

Raleigh (NC)

On-site

USD 120,000 - 180,000

Full time

14 days+
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Job summary

Accenture is seeking an Advanced AI Architect to design and deliver full stack AI architectures for platforms, products, or engagements across public, private, or sovereign clouds.

You will craft enterprise-grade AI solutions with focus on scalability, security, governance and performance, leveraging AI Agents, Generative AI, Foundation Models, and data engineering. This high-impact role shapes AI systems for enterprise value.

Qualifications

  • Bachelor's degree or equivalent (minimum 12 years) work experience.
  • Minimum 5 years of experience designing, engineering & operationalizing large scale AI/ML solutions on at least one public cloud platform.
  • Experience with AI Agents, Generative AI, Foundation Models, Knowledge & Data Engineering.

Responsibilities

  • Lead AI architecture & technical design workshops with client and Accenture teams.
  • Collaborate with client teams to finalize architectural requirements for AI solutions.
  • Evaluate, rationalize and select technologies for full AI stack deployment.
  • Estimate design alternatives, effort, and timeline for deploying AI solutions.
  • Design and document architectural alternatives, technology choices and recommendations.
  • Implement AgentOps / LLMOps, AI Governance, AI Security, AI Observability solutions.
  • Troubleshoot, analyze and optimize performance of AI systems and agents.

Skills

AI architecture
Full stack AI
Multi-agent design
LLM Ops
Cloud platforms
Security governance
Data engineering

Education

Bachelor's degree

Tools

Public cloud platforms
AI frameworks
Open-source tools

Job description

Accenture is seeking an Advanced AI Architect to design and deliver full stack AI architectures for platforms, products, or engagements across public, private, or sovereign clouds.

You will craft enterprise-grade AI solutions with focus on scalability, security, governance and performance, leveraging AI Agents, Generative AI, Foundation Models, and data engineering. This high-impact role shapes AI systems for enterprise value.

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