AI Engineering & Platform Leadership Senior Manager - Utilities

About the role

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.

Responsibilities

• Lead the architecture and delivery of enterprise AI platforms spanning multiple model providers (OpenAI, Anthropic) and cloud ecosystems (AWS, Azure, Google).
• Define reference architectures and technical standards for LLMOps, security, reliability, and cost governance across the AI estate.
• Oversee multiple engineering teams delivering AI solutions at scale, providing technical direction, coaching, and quality assurance.
• Serve as senior technical authority on hyperscaler AI services and model selection, guiding enterprise-grade deployment of generative and agentic AI.
• Establish FinOps-for-AI cost optimization practices and embed AI security and governance into platform design.
• Partner with clients and pursuit teams to shape solutions, architectures, and delivery models for major AI programs.

Requirements

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

Qualifications

• Master’s degree in a relevant field (preferred).
• Cloud architecture or AI engineering certifications (AWS, Azure, or Google) (preferred).
• Demonstrated thought leadership or published innovation work in enterprise AI (preferred).

Skills

• Strong understanding of AI and ML technologies.
• Experience with multiple cloud providers (AWS, Azure, Google).
• Leadership experience in managing engineering teams.
• Expertise in LLMOps and MLOps.
• Experience with enterprise-grade deployment of generative and agentic AI.
• Knowledge of AI security and governance.
• Experience with cost optimization in AI environments.
• Understanding of utility-specific challenges and solutions.

Benefits

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.

Pay

Annual Salary Range: $132,500 to $338,300

Schedule

Travel may be required for this role, varying from 0 to 100% depending on business need and client requirements.

Benefits

We offer 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.

Equal Employment Opportunity

We are committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. 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 (877) 889-9009 or send us an email or speak with your recruiter.