Advanced AI Architect

Accenture PLC; Hartford (CT); Sur place; USD 87 000 - 294 000; Plein temps

Avantages offerts par ce poste

Medical, dental, vision coverage

Life insurance

Long-term disability

401(k) plan

Bonus opportunities

Paid holidays

Paid time off

Résumé du poste

Accenture is seeking an Advanced AI Architect to design and deliver full-stack AI architecture for AI platforms, products, or engagements across public, private, or sovereign clouds. You will craft enterprise-grade AI platforms focusing on scalability, security, governance, and performance, leveraging AI Agents, Generative AI, and knowledge/data engineering.

Responsibilities include leading architecture workshops, finalizing requirements with clients, evaluating technologies, and building

Qualifications

• Minimum of 2 years of experience designing and implementing scaled Agentic AI and Generative AI solutions in operations.
• Minimum 2 years of experience 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 major public cloud platform.
• 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.

Responsabilités

• 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 full stack AI platform deployments.
• Estimate design alternatives, effort, timelines, and roadmaps for deploying AI solutions.
• Develop TCO models and assess financial viability of AI platforms and solutions.
• Design and document architectural alternatives, technology choices and recommendations.
• Identify and align key architectural decisions required for AI solutions.
• Design multi-agent, security, runtime, governance, DevOps, and infrastructure blueprints for AI systems.
• Design knowledge architectures with knowledge graphs and semantic layers for enabling AI Agents.
• Incorporate AI Security into platforms and solutions; design governance and observability solutions.
• Design AgentOps and LLM Ops solutions; recommend performance, cost, reliability improvements.

Connaissances

AI architecture

Cloud platforms

AgentOps

LLMOps

Security architecture

Formation

Bachelor's degree or equivalent

Outils

AWS

Azure

GCP

Description du poste

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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Requesting an Accommodation

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If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 [phone] or send us an email or speak with your recruiter.