AI Engineering Platform Senior Manager

Salary: $112,900 - 338,300 per year Requirements:

• We need at least 10 years of experience in software or AI/ML engineering, including architecture leadership.
• We need at least 6 years of experience designing and delivering enterprise AI or LLM platforms across major cloud and model providers.
• We need at least 3 years of experience with LLMOps or MLOps at scale and multi-cloud environments such as AWS, Azure, and Google Cloud.
• We need at least 5 years of experience leading engineering teams and end-to-end solution delivery.
• We need at least 3 years of experience with AI security, governance, and cost optimization practices for AI.
• We need at least 1 year of experience supporting utilities clients or working in a utilities finance, controllership, or regulatory function.
• We need a bachelors degree or an equivalent combination of education and experience; an associates degree is acceptable with equivalent work experience.
• Bonus consideration is given to candidates with a masters degree in a relevant field.
• Bonus consideration is given to candidates with cloud architecture or AI engineering certifications from AWS, Azure, or Google.
• Bonus consideration is given to candidates who have shown thought leadership or published innovation work in enterprise AI.

• We architect and deliver enterprise AI platforms across multiple model providers and cloud ecosystems.
• We define reference architectures and technical standards for LLMOps, security, reliability, and cost governance across our AI estate.
• We lead multiple engineering teams delivering AI solutions at scale, providing technical direction, coaching, and quality assurance.
• We act as a senior technical authority on hyperscaler AI services and model selection for enterprise-grade generative and agentic AI deployments.
• We establish FinOps-for-AI practices and embed AI security and governance into platform design.
• We partner with clients and pursuit teams to shape solutions, architectures, and delivery approaches for major AI programs.
• Travel may be required depending on business needs and client requirements.

• Agentic AI
• AI
• AWS
• Architect
• Azure
• Cloud
• LLM
• MLOps
• Security

More:

We are collaborating with hackajob to connect us with exceptional professionals for this role. We are a leading global professional services company with approximately 791,000 people serving clients in more than 120 countries. Our AI and Data practice sits at the intersection of deep industry knowledge and applied AI and data engineering, helping Resources and Utilities organizations build the data foundations, AI platforms, and governance models that turn data into trusted, production-grade intelligence. We offer a market-competitive benefits package that includes medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. Compensation varies by location, skill set, and experience, with salary ranges listed for multiple U.S. regions. We are committed to inclusion, diversity, equal opportunity, and reasonable accommodation, and we value a culture of shared success and 360 value.

last updated 40 week of 2026