AI Architect: Enterprise GenAI & Governance

Accenture; Pittsburgh (Allegheny County); On-site; USD 120,000 - 240,000; Full time

Job summary

Accenture in the United States is seeking an Advanced AI Architect to design and deliver full stack AI architecture for platforms, products, or engagements across public, private, or sovereign clouds. You will architect enterprise-grade AI solutions ensuring scalability, security, governance, and performance to meet client needs.

Responsibilities include leading architecture workshops, selecting technologies, designing multi-agent and AI security blueprints, implementing AgentOps/LLMOps, and

Qualifications

• Minimum of 2 years of experience designing and implementing scaled Agentic AI and Generative AI solutions in operations.
• Minimum of 2 years of experience designing and implementing Agentic AI and Generative AI platforms and frameworks used by multiple AI solutions.
• Minimum of 5 years of experience in designing, engineering & operationalizing large scale AI/ML solutions on major cloud platforms.
• Minimum 5 years of expert level understanding of key AI technologies from public clouds, open source and third-party tools.
• Bachelor's degree or equivalent work experience (min 12 years).

Responsibilities

• Lead AI architecture & design workshops with client and Accenture teams.
• Define requirements, technologies, and architectures for full-stack AI platforms.
• Design and document multi-agent, AI security, governance, and DevOps blueprints.
• Implement AgentOps/LLMOps and reusable AI components; optimize performance and cost.
• Travel may be required; travel % varies by business need.

Skills

AI architecture

Generative AI

Multi-agent systems

Cloud platforms

Governance & security

Education

Bachelor's degree or equivalent

Job description

Accenture in the United States is seeking an Advanced AI Architect to design and deliver full stack AI architecture for platforms, products, or engagements across public, private, or sovereign clouds. You will architect enterprise-grade AI solutions ensuring scalability, security, governance, and performance to meet client needs.

Responsibilities include leading architecture workshops, selecting technologies, designing multi-agent and AI security blueprints, implementing AgentOps/LLMOps, and