Enterprise AI Architect: Full-Stack, Governance & Agents

Accenture; Boston (MA); On-site; USD 94,000 - 270,000; Full time

Job summary

Accenture in Massachusetts is seeking an Advanced AI Architect to design and deliver full stack AI architectures for platforms, products, or engagements on public, private or sovereign clouds. You will architect enterprise-grade AI platforms for scalability, security, governance and performance.

You will use AI Agents, Generative AI, Foundation Models, Knowledge & Data Engineering to build proofs of concept and pilots, shaping enterprise AI readiness and delivering measurable business value.

Qualifications

• Minimum 5 years designing, engineering and deploying large-scale AI/ML solutions on public clouds.
• 5+ years expert-level understanding of AI tech from cloud providers and open source.
• 2+ years designing and implementing scaled Agentic AI and Generative AI solutions.
• Bachelor's degree or equivalent (12 yrs) work experience; 6 yrs for Associate degree.

Responsibilities

• Lead AI architecture and technical design workshops with client and Accenture teams.
• Evaluate, rationalize and select technologies for full-stack AI platforms.
• Design multi-agent, AI security, governance, and DevOps blueprints.
• Implement AgentOps/LLMOps, AI governance, security, and observability solutions.
• Design reusable AI components and troubleshoot performance of AI systems.
• Travel may be required up to 0–100% depending on business needs.

Skills

AI architecture

Full stack AI

Generative AI

Foundation Models

Knowledge & Data Eng

AI security

Governance

Observability

AgentOps

LLMOps

Education

Bachelor's degree or equivalent

Associate degree + 6+ yrs exp

Tools

Public cloud platforms (AWS/GCP/Azure)

Job description

Accenture in Massachusetts is seeking an Advanced AI Architect to design and deliver full stack AI architectures for platforms, products, or engagements on public, private or sovereign clouds. You will architect enterprise-grade AI platforms for scalability, security, governance and performance.

You will use AI Agents, Generative AI, Foundation Models, Knowledge & Data Engineering to build proofs of concept and pilots, shaping enterprise AI readiness and delivering measurable business value.