Senior AI Platform Leader: Enterprise LLM & Cloud

Accenture

St. Louis (MO)

On-site

USD 120,000 - 230,000

Full time

14 days+

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Job summary

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

You will own the model strategy and drive enterprise-grade deployment of generative AI, ensuring FinOps for AI is embedded in platform design.

Qualifications

10+ years in software or AI/ML engineering with architecture leadership.
6+ years architecting enterprise AI/LLM platforms across cloud providers.
3+ years with LLMOps/MLOps at scale across AWS, Azure, Google.
5+ years leading engineering teams and end-to-end delivery.
3+ years in AI security, governance, and cost optimization (FinOps for AI).
1 year working with utilities clients or related finance/regulatory roles.
Bachelor's degree or equivalent (minimum 12 years of work experience). If Associate, 6-year equivalent.

Responsibilities

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