Enterprise AI Platform Leader - LLMOps & Cloud Architecture

Accenture; Beaverton (OR); On-site; USD 140,000 - 270,000; Full time

Benefits offered by this job

Medical, dental, vision

401(k) plan

Bonus opportunities

Job summary

Accenture seeks a Senior AI engineering Leader to architect and deliver enterprise AI platforms spanning OpenAI, Anthropic, and cloud ecosystems (AWS, Azure, Google). You will set standards for LLMOps, security, and cost governance while guiding multiple teams to deliver scalable AI solutions.

Travel may be required up to 0–100% depending on client needs. You bring 10+ years in software/AI leadership, 6+ years building enterprise AI platforms, and strong FinOps for AI expertise.

Qualifications

• 10+ years in software or AI/ML engineering with architecture leadership.
• 6+ years building enterprise AI/LLM platforms across cloud providers.
• 3+ years with LLMOps/MLOps at scale and multi-cloud (AWS/Azure/Google).
• 5+ years leading engineering teams and delivering end-to-end solutions.
• 3+ years in AI security, governance, and FinOps for AI.
• 1+ year serving utilities clients or related regulatory functions.
• Bachelor's degree or equivalent; if Associate, 6+ years work exp.

Responsibilities

• Architect enterprise AI platforms across model providers and clouds.
• Set standards for LLMOps, security, reliability, and cost governance.
• Lead multiple engineering teams delivering AI solutions at scale.
• Own model strategy and enterprise-grade deployment guidance.
• Drive cost control and embed AI governance in platform design.
• Collaborate with clients and pursuit teams to shape AI programs.

Skills

Senior AI architect

LLMOps

Multi-cloud

Engineering leadership

Security governance

Cost optimization

Utilities industry

Education

Bachelor's degree or equivalent

Tools

OpenAI

Anthropic

AWS

Azure

Google Cloud

Job description

Accenture seeks a Senior AI engineering Leader to architect and deliver enterprise AI platforms spanning OpenAI, Anthropic, and cloud ecosystems (AWS, Azure, Google). You will set standards for LLMOps, security, and cost governance while guiding multiple teams to deliver scalable AI solutions.

Travel may be required up to 0–100% depending on client needs. You bring 10+ years in software/AI leadership, 6+ years building enterprise AI platforms, and strong FinOps for AI expertise.