FinOps AI/ML Engineering Lead (Multi-Cloud)

Accenture PLC; Houston (TX); On-site; USD 120,000 - 260,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

401(k) plan

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture PLC is seeking a senior Cloud Advisory professional to lead agentic AI automation programs and FinOps governance across multiple clouds. You will architect reference patterns, implement policy libraries, and mentor squads while aligning automation with business savings and security standards.

The role involves travel and collaboration with clients to define KPIs, dashboards, and executive readouts. Deep expertise in cloud engineering and responsible AI is required.

Qualifications

• 8+ years in cloud engineering, AI automation or platform architecture.
• 3+ years leading FinOps automation programs.
• 1+ year experience in agentic AI frameworks and MCP integration.
• Bachelor’s degree or equivalent work experience (12 years if no degree).

Responsibilities

• Define reference architectures for agentic AI orchestration across multi-clouds.
• Establish cost governance frameworks with budgets, tagging and anomaly detection.
• Lead squads to implement agentic workflows, IaC modules and policy libraries.
• Mentor associate managers, consultants, and analysts on automation best practices.
• Operationalize Responsible AI standards with RBAC and secrets management.
• Define KPIs for automation coverage and savings; publish dashboards for execs.
• Support proposals, client workshops and SOW development for agentic FinOps.

Skills

Cloud engineering

AI automation

Platform architecture

FinOps automation

Squad leadership

Agentic AI

Education

Bachelor's degree in CS/engineering/IT/data

Tools

Python

TypeScript

Terraform

Bicep

ARM

OPA/Rego

Sentinel

GitHub Actions

Azure DevOps

LangGraph

AutoGen

Crew-style patterns

Job description

Accenture PLC is seeking a senior Cloud Advisory professional to lead agentic AI automation programs and FinOps governance across multiple clouds. You will architect reference patterns, implement policy libraries, and mentor squads while aligning automation with business savings and security standards.

The role involves travel and collaboration with clients to define KPIs, dashboards, and executive readouts. Deep expertise in cloud engineering and responsible AI is required.