AI Engineering & Platform Leadership Senior Manager - Utilities

About the Role Senior AI Engineering Leader at Accenture responsible for architecting and delivering enterprise AI platforms spanning multiple model providers and cloud ecosystems. Sets technical standards for generative and agentic AI, and leads multidisciplinary engineering teams. Responsibilities Architect 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. Travel may be required for this role, varying from 0% to 100% depending on business need and client requirements. Qualifications 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 Master’s degree in a relevant field. Cloud architecture or AI engineering certifications (AWS, Azure, Google). Demonstrated thought leadership or published innovation work in enterprise AI. Compensation & Benefits Compensation varies depending on location, role, skill set, and level of experience. Benefits include medical, dental, vision, life, long-term disability coverage, 401(k) plan, bonus opportunities, paid holidays, and paid time off. Equal Employment Opportunity Statement Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. Accenture is an EEO and affirmative action employer of veterans/individuals with disabilities. We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis protected by law. #J-18808-Ljbffr Accenture