AI Architect - FDE Associate Director

Accenture; Overland Park (KS); On-site; USD 150,000 - 230,000; Full time

Job summary

Accenture seeks a highly experienced AI/ML Senior Architect to design, scale, and govern enterprise-grade AI agent systems across cloud environments. You will partner with clients to shape AI strategy, reference architectures, and agent frameworks, enabling scalable, secure deployment.

You will lead workshops, define requirements and TCO, and guide engineering teams from ideation to production. This role requires deep cloud AI expertise and hands-on leadership.

Qualifications

• 12+ years of experience in Python, Java, or equivalent.
• 6+ years with AI technologies from public clouds, open source, and third-party tooling.
• 4+ years designing and operationalizing large-scale AI/ML solutions on at least one major public cloud.
• 2+ years hands-on with AI platforms (Claude, open-source) and agentic orchestration tools.
• Experience with MLOps/LLMOps across the ML and LLM lifecycle.
• Bachelor's degree or equivalent work experience (or 6 years with Associate).

Responsibilities

• Architect enterprise-ready AI agent systems: retrieval, orchestration, governance, evaluation, lifecycle observability.
• Lead architecture workshops with client and Accenture teams; define requirements and assess TCO.
• Evaluate, rationalize, and select technologies for full-stack AI platforms; build financial-viability models.
• Design architectural blueprints (multi-agent, AI security, governance, DevOps, knowledge/data layer).
• Design knowledge architectures (knowledge graphs, semantic layers) for enterprise AI.
• Architect for scalability, security, governance, and performance across clouds.
• Develop reusable AI components, agents, and patterns for repeatable delivery.
• Stand up custom agent frameworks across providers; scale reference architectures.
• Run AgentOps, LLMOps, AI Governance, AI Security, and Observability; drive MLOps pipelines.
• Troubleshoot and optimize AI systems for performance, cost, reliability, and trust.

Skills

Python

Java

AI/ML architectures

Cloud platforms

GenAI

Agent orchestration

MLOps/LLMOps

Observability

Security & governance

Financial modeling / TCO

Education

Bachelor's degree or equivalent experience

Tools

LangGraph

CrewAI

AutoGen

Amazon Bedrock AgentCore

Anthropic Claude Agent SDK

Job description

We Are:

The AWS Practice is home to our deepest AWS experts and supports Accenture’s more than 1,500 certified AWS architects across the company. Join our team and be among Accenture’s most talented AWS practitioners, our AWS SWAT team. The group is responsible for Accenture’s most complex AWS projects and provides our delivery capability for the Accenture AWS Business Group (AABG). AABG is the deepest relationship Amazon Web Services has with any partner in the ecosystem. Choosing Accenture and the AWS Practice will take your AWS experience and skills to the next level and allow you to work in an innovative and collaborative environment. At Accenture, you can lead the world’s largest enterprises on the path to native cloud transformation and serverless, on the leading edge of cloud.

Join Accenture and help transform leading organizations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance. Choose Accenture and make delivering innovative work part of your extraordinary career.

Learn more about our AABG and AWS at Accenture here:

https://www.accenture.com/us-en/service-aws-cloud.

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 11/30/2026.

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:

U.S. Employee Benefits | Accenture (https://www.accenture.com/us-en/careers/local/benefits)

Role Location Annual Salary Range

California $163,000 to $413,600

Colorado $163,000 to $357,400

Connecticut $163,000 to $357,400

District of Columbia $173,500 to $380,500

Illinois $150,900 to $357,400

Maine $138,800 to $304,400

Maryland $163,000 to $357,400

Massachusetts $163,000 to $380,500

Minnesota $163,000 to $357,400

New York $150,900 to $413,600

New Jersey $173,500 to $413,600

Ohio $150,900 to $330,900

Virginia $150,900 to $380,500

Washington $173,500 to $380,500

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