You Are:You are a Senior AI engineering Leader who architects and delivers enterprise AI platforms spanning multiple model providers and cloud ecosystems. You set the technical standards for how generative and agentic AI is built, secured, and run at scale, and you lead multiple engineering teams to deliver on them. You are a credible technical authority on hyperscaler AI services, model selection, LLMOps, and enterprise-grade deployment.
The Work:- Architect enterprise AI platforms - lead the architecture and delivery of enterprise AI platforms spanning multiple model providers (OpenAI, Anthropic) and cloud ecosystems (AWS, Azure, Google).
- Set technical standards - define reference architectures and technical standards for LLMOps, security, reliability, and cost governance across the AI estate.
- Lead engineering teams at scale - oversee multiple engineering teams delivering AI solutions at scale, providing technical direction, coaching, and quality assurance.
- Own model strategy - serve as senior technical authority on hyperscaler AI services and model selection, guiding enterprise-grade deployment of generative and agentic AI.
- Drive cost and security governance - establish FinOps-for-AI cost optimization practices and embed AI security and governance into platform design.
- Shape solutions and growth - partner with clients and pursuit teams to shape solutions, architectures, and delivery models for major AI programs.
Travel may be required for this role, varying from 0 to 100% depending on business need and client requirements.
Here's What You Need:- Minimum of 10 years of experience in software or AI/ML engineering, including architecture leadership
- Minimum of 6 years of experience architecting and delivering enterprise AI/LLM platforms across major cloud and model providers
- Minimum of 3 years of experience with LLMOps/MLOps at scale and multi-cloud architecture (AWS, Azure, Google)
- Minimum of 5 years of experience leading engineering teams and end-to-end solution delivery
- Minimum of 3 years of experience with AI security, governance, and cost optimization (FinOps for AI)
- Minimum of 1 year of experience serving utilities clients (electric, gas, or water) or in a utilities finance, controllership, or regulatory function.
- Bachelor's degree or equivalent (minimum 12 years' work experience). If Associate's Degree, must have equivalent minimum 6-year work experience
Bonus Points If- You have a Master's degree in a relevant field
- You have Cloud architecture or AI engineering certifications (AWS, Azure, or Google)
- You have demonstrated thought leadership or published innovation work in enterprise AI
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 08/25/2026.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
Role Location Annual Salary RangeCalifornia $132,500 to $338,300
Cleveland $122,700 to $270,600
Colorado $132,500 to $292,200
District of Columbia $141,100 to $311,200
Illinois $122,700 to $292,200
Maine $112,900 to $249,000
Maryland $132,500 to $292,200
Massachusetts $132,500 to $311,200
Minnesota $132,500 to $292,200
New York $122,700 to $338,300
New Jersey $141,100 to $338,300
Virginia $122,700 to $311,200
Washington $141,100 to $311,200
