Advanced AI Architect

Accenture; Bentonville (AR); On-site; USD 140,000 - 250,000; Full time

Job summary

Accenture is seeking an Advanced AI Architect to design and deliver full stack AI architectures for AI platforms, products, or engagements across public, private, or sovereign clouds. You will lead architecture workshops, define requirements, and evaluate technologies to build enterprise-grade AI solutions with governance, security, and observability at scale.

The role requires 5+ years guiding large-scale AI/ML deployments on major cloud platforms, deep expertise in multi-agent design, AI

Qualifications

• Minimum of 2 years designing and implementing scaled Agentic AI and Generative AI solutions that are in operations.
• Minimum of 2 years designing and implementing Agentic AI and Generative AI platforms and frameworks used by multiple AI solutions
• Minimum of 5 years of experience designing, engineering & operationalizing large scale AI/ML solutions on at least one of the large public cloud platforms using latest cloud native AI services and frameworks, open-source technologies and 3rd party tools.
• Minimum 5 years of expert level understanding of key AI technologies from public cloud providers, open source and 3rd party technologies.
• Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)

Responsibilities

• Lead AI architecture & technical design workshops with client and Accenture teams.
• Collaborate with client teams to finalize architectural requirements for AI solutions.
• Evaluate, rationalize and select technologies required for putting together the full stack of an AI platform or AI system.
• Design and document multi-agent architecture blueprints, AI security architecture blueprints, AI runtime architecture blueprints, AI governance solution blueprints, AI DevOps architecture blueprints, AI infrastructure architecture blueprints, multi-agent solution blueprints, knowledge and data layer blueprints.
• Design the knowledge architecture consisting of knowledge graphs, semantic layers for enabling AI Agents.
• Incorporate AI Security in platforms and solutions.
• Design and document solutions for AI security, governance, observability.
• Design and document AgentOps and LLM Ops solutions.
• Recommend design optimizations and improvements for performance, cost, reliability, trust.

Skills

AgentOps

LLMOps

AI Governance

AI Security

AI Observability

Knowledge Graphs

Semantic Layers

Multi-Agent Architecture

Cloud Services

Education

Bachelor's degree

Job description

We Are

We a re entering a transformative era where Data & AI are reshaping industries, work, and society. Accenture is leading this evolution with a bold vision and a $3B investment in Data & AI. Our global team of 45,000+ AI professionals is driving innovation at scale—powered by deep expertise , strategic partnerships, and a commitment to delivering industry-defining solutions.

You Are:

As a n Advanced AI Architect, you will be responsible for designing and delivering full stack AI architecture for a n AI platform, AI product, or AI engagement on public, private or sovereign clouds . You’ll architect enterprise grade AI platforms and solutions for scalability, security, governance and performance that meet our client’s business needs . In that role you will be using the latest innovations in AI Agents, Generative AI , Foundation Models , Knowledge & Data Engineering . You will be designing and implementing cutting edge proof-of-concepts and pilots to demonstrate the capabilities of AI technologies to solve complex business problems and for enterprise readiness . This is a high-impact role where your contributions will shape the future of AI systems in the enterprise to deliver unprecedented business value .

The Work

Strategy & Planning

• Lead AI architecture & technical design workshops with client and Accenture teams

• Collaborate with client teams to finalize architectural requirements for AI solutions .

• Evaluate , rationalize and select technologies required for putting together the full stack of an AI platform or AI system

• Estimate design alternatives, effort, time line , roadmap for deploying AI solutions .

• Develop TCO models and assess financial viability of AI platforms and solutions .

Architecture & Design

• Design and document architectural alternatives, technology choices and recommendations

• Identify , define , facilitate alignment of key architectural decisions required for AI solutions

• Design and document multi-agent architecture blueprints , AI security architecture blueprints , AI runtime architecture blueprints , AI governance solution blueprints , AI DevOps architecture blueprints, AI infrastructure architecture blueprints , multi-agent solution blueprints , knowledge and data layer blueprints.

• Design the knowledge architecture consisting of knowledge graphs , semantic layers for enabling AI Agents.

• Incorporate AI Security in platforms and solutions.

• Design and document solutions for AI security, governance , observability .

• Design and document AgentOps and LLM Ops solutions .

• Recommend design optimizations and improvements for performance, cost, reliability , trust .

Implementation

• Implement AgentOps / LLMOps , AI Governance , AI Security, AI Observability solutions

• Design/Build reusable AI components, AI agents and solution patterns for Advanced AI systems and platforms.

• Troubleshoot, Analyze and optimize performance of AI systems , AI agents and platforms

Travel may be required for this role . The amount of travel will vary from 0 to 100% depending on business need and client requirements.

Here’s what you need

• Minimum of 2 year s of experience designing and implementing scaled Agentic AI and Generative AI solutions that are in operations .

• Minimum of 2 year of experience in 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 at least one of the large public cloud platforms using latest cloud native AI services and frameworks, open-source technologies and 3 rd party tools .

• Minimum 5 years of ex pert level understanding of key AI technologies from public cloud providers, open source and 3 rd party technologies

• Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s 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 08/02/2026.

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 $94,400 to $293,800

Cleveland $87,400 to $235,000

Colorado $94,400 to $253,800

District of Columbia $100,500 to $270,300

Illinois $87,400 to $253,800

Maine $80,400 to $216,200

Maryland $94,400 to $253,800

Massachusetts $94,400 to $270,300

Minnesota $94,400 to $253,800

New York $87,400 to $293,800

New Jersey $100,500 to $293,800

Virginia $87,400 to $270,300

Washington $100,500 to $270,300

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