Senior AI Platform & Engineering Leader

Accenture; Culver City (CA); On-site; USD 133,000 - 338,000; Full time

Benefits offered by this job

Medical, dental, vision

401(k) plan

Bonus opportunities

Paid holidays

Paid time off

Job summary

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

You will own the model strategy and drive enterprise-grade deployment of generative AI, with FinOps for AI embedded into platform design and strong client collaboration to shape major programs.

Qualifications

• Minimum 10 years of experience in software or AI/ML engineering with architecture leadership.
• Minimum 6 years of experience architecting and delivering enterprise AI/LLM platforms across major cloud providers.
• Minimum 3 years of experience with LLMOps/MLOps at scale and multi-cloud architecture (AWS, Azure, Google).
• Minimum 5 years of experience leading engineering teams and end-to-end solution delivery.

Responsibilities

• Architect enterprise AI platforms spanning multiple model providers and cloud ecosystems.
• Define reference architectures and technical standards for LLMOps, security, reliability, and cost governance.
• Lead engineering teams delivering AI solutions at scale, providing technical direction and QA.
• Own model strategy and enterprise deployment of generative and agentic AI.
• Drive FinOps for AI and embed security/governance into platform design.
• Shape solutions and delivery models for major AI programs with clients.

Skills

AI architecture

LLMOps

cloud architecture

engineering leadership

Education

Bachelor's degree or equivalent

Tools

OpenAI

Anthropic

AWS

Azure

Google Cloud

Job description

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

You will own the model strategy and drive enterprise-grade deployment of generative AI, with FinOps for AI embedded into platform design and strong client collaboration to shape major programs.