Senior AI Platform & Engineering Leader (Multi-Cloud)

Accenture; Chicago (IL); On-site; USD 180,000 - 230,000; Full time

Job summary

Accenture is seeking a Senior AI Engineering Leader to architect and deliver enterprise AI platforms spanning multiple model providers and cloud ecosystems. You will set technical standards for generative and agentic AI and lead multidisciplinary engineering teams.

You will drive LLMOps, security, reliability, FinOps, and governance across the AI estate while partnering with clients to shape solutions and delivery models for major AI programs. Travel may be required.

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.

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.

Skills

Engineering leadership

Team leadership

Architectural design

Cross-cloud integration

Technical governance

Education

Bachelor's degree or equivalent (12 years of work experience)

Tools

AWS

Azure

Google Cloud

LLMOps tooling

OpenAI/Anthropic integrations

Job description

Accenture is seeking a Senior AI Engineering Leader to architect and deliver enterprise AI platforms spanning multiple model providers and cloud ecosystems. You will set technical standards for generative and agentic AI and lead multidisciplinary engineering teams.

You will drive LLMOps, security, reliability, FinOps, and governance across the AI estate while partnering with clients to shape solutions and delivery models for major AI programs. Travel may be required.