Senior AI Platform & Engineering Leader

Accenture; Saint Petersburg (FL); On-site; USD 140,000 - 320,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

401(k) plan

Paid holidays & time off

Job summary

Accenture is seeking a Senior AI engineering Leader to architect and deliver enterprise AI platforms across multiple model providers and cloud ecosystems. You will set standards for LLMOps, security, and cost governance while leading several engineering teams to scale AI solutions.

You will own model strategy, ensure secure, enterprise‑grade deployments, and drive FinOps practices. Travel may be 0–100% depending on client needs and business demands.

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 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 — 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.

Skills

AI/ML engineering leadership

LLMOps / MLOps

Multi‑cloud architecture

Security & governance

Team leadership

Enterprise AI strategy

Education

Bachelor's degree or equivalent

Master's degree (bonus)

Tools

AWS

Azure

Google Cloud

OpenAI

Anthropic

Job description

Accenture is seeking a Senior AI engineering Leader to architect and deliver enterprise AI platforms across multiple model providers and cloud ecosystems. You will set standards for LLMOps, security, and cost governance while leading several engineering teams to scale AI solutions.

You will own model strategy, ensure secure, enterprise‑grade deployments, and drive FinOps practices. Travel may be 0–100% depending on client needs and business demands.