Senior AI Architect: Generative AI & Agent Platforms Lead

Accenture; Minneapolis (MN); On-site; USD 180,000 - 280,000; Full time

Job summary

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

Join a team that leads complex AWS, Azure, and Google Cloud engagements, guiding inclinations from ideation to production. Travel may be required as projects demand.

Qualifications

• 12+ years of experience in Python or Java and related tooling.
• 6+ years of AI technologies from cloud, open source, and 3rd party tooling.
• 4+ years designing and operationalizing large-scale AI/ML on major public clouds.
• 2+ years hands-on with AI platforms, agent orchestration, and MLOps/LLMOps practices.
• Experience with scalable AI platforms and knowledge engineering.

Responsibilities

• Architect enterprise-grade AI agent systems across multiple clouds.
• Lead client workshops to define AI strategy and evaluate TCO for solutions.
• Select technologies for full-stack AI platforms and build financial viability models.
• Create architectural blueprints for multi-agent, AI security, governance, and LLM ops.
• Drive AgentOps/LLMOps and Observability for AI deployments.
• Collaborate with engineering teams from ideation through production deployment.

Skills

Python/Java

AI technologies

Cloud platforms

Agentic AI

Education

Bachelor's degree or equivalent

Tools

LangGraph

CrewAI

AutoGen

Bedrock AgentCore

Job description

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

Join a team that leads complex AWS, Azure, and Google Cloud engagements, guiding inclinations from ideation to production. Travel may be required as projects demand.