You Are:

An AI/ML Sr Architect delivering full-stack AI architecture on public, private, or sovereign clouds. You architect enterprise-grade platforms using AI Agents, Generative AI, Foundation Models, and Knowledge & Data Engineering to solve complex business problems at scale.

The Work:

The AI/ML Senior Architect is responsible for designing and scaling enterprise-grade Agentic AI platforms across public, private, and sovereign cloud environments. Partners with clients to define AI strategy, architect reference solutions, and deliver AI agent frameworks leveraging GenAI, foundation models, knowledge engineering, and cloud-native AI services. Leads end-to-end architecture covering agent orchestration, governance, security, AgentOps/LLMOps, observability, and scalable knowledge architectures, while guiding engineering teams from ideation through production deployment Generative AI platforms and frameworks used by multiple AI solutions.

Responsibilities:

• Architect enterprise-ready AI agent systems: retrieval, orchestration, governance, evaluation, lifecycle observability.

• Lead architecture workshops with client and Accenture teams; finalize requirements and TCO for AI solutions.

• Evaluate, rationalize, and select technologies for full-stack AI platforms; build financial-viability models.

• Design architectural blueprints (multi-agent, AI security, runtime, governance, DevOps, knowledge and data layer).

• Design knowledge architecture (knowledge graphs, semantic layers) that enables AI agents at enterprise scale.

• Architect for scalability, security, governance, and performance on public, private, and sovereign clouds.

• Design reusable AI components, agents, and solution patterns for repeatable engagement delivery.

• Architect and stand up custom agent frameworks across providers (Amazon Bedrock AgentCore, Anthropic Claude Agent SDK); design reference architectures that scale across engagements.

• Run AgentOps, LLMOps, AI Governance, AI Security, and Observability; drive MLOps pipelines for ML and LLM lifecycle.

• Troubleshoot, optimize, and tune AI systems for performance, cost, reliability, and trust.

Travel may be required for this role. The amount of travel will vary from 25% to 100% depending on business need and client requirements.

Here's What You Need:

• Minimum of 12 years of experience in Python, Java, or equivalent. Comfortable with evaluation tooling, logging, monitoring, and observability.

• Minimum of 6 years of experience with key AI technologies from public cloud providers, open source, and 3rd party tooling.

• Minimum of 4 years experience in designing, engineering, and operationalizing large-scale AI/ML solutions on at least one major public cloud, using cloud-native AI services and frameworks, open-source technologies, and 3rd party tools.

• Minimum of 2 years of experience in the following:

  • Hands-on experience with AI platforms (Claude, open-source), agentic orchestration tools (LangGraph, CrewAI, AutoGen), and MLOps/LLMOps practices across the ML and LLM lifecycle.

  • Designing and implementing scaled Agentic AI and Generative AI solutions that are in operations.

  • Designing and implementing Agentic AI and Generative AI platforms and frameworks used by multiple AI solutions.

• Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate Degree, must have minimum 6 years work experience)

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.
We anticipate this job posting will be posted until 10/30/2026.

Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:

Role LocationAnnual Salary Range

California$73,800 to $218,800

Colorado$73,800 to $189,000

Connecticut$73,800 to $189,000

District of Columbia$78,500 to $201,300

Illinois$68,300 to $189,000

Maine$62,800 to $161,000

Maryland$73,800 to $189,000

Massachusetts$73,800 to $201,300

Minnesota$73,800 to $189,000

New York$68,300 to $218,800

New Jersey$78,500 to $218,800

Ohio$68,300 to $175,000

Virginia$68,300 to $201,300

Washington$80,200 to $201,300