FinOps AI/ML Engineering Lead

Accenture; Atlanta (GA); On-site; USD 140,000 - 260,000; Full time

Benefits offered by this job

MedicalDentalVision

Life Insurance

401(k) Matching

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture’s Cloud Advisory practice seeks a seasoned architect and delivery leader to design agentic AI orchestration across multi-cloud environments. You will guide squads, build governance modules, and ensure production-grade automation aligned with FinOps principles.

You will mentor teams, define KPIs, and support client engagements, from workshops to SOWs, while advancing Responsible AI standards and secure, auditable workflows.

Qualifications

• 8+ years in cloud engineering, AI automation, or platform architecture.
• 3+ years leading FinOps automation programs.
• 1 year experience in agentic AI frameworks (LangGraph, AutoGen, Crew-style patterns) and MCP integration.
• Bachelor’s degree in Computer Science, Engineering, IT, Data or equivalent work experience (minimum 12 years).

Responsibilities

• Define reference architectures for agentic AI orchestration across multi-clouds.
• Establish cost governance frameworks using OPA/Rego or Sentinel; design IaC guardrails and reusable modules.
• Lead squads to implement agentic workflows, IaC modules, and policy libraries; ensure CI/CD integration and automated compliance checks.
• Mentor associate managers, consultants, and analysts on automation best practices and FinOps standards.
• Operationalize Responsible AI standards; ensure RBAC, secrets management, and auditability across workflows.
• Define KPIs for automation coverage and savings; publish dashboards and executive readouts.
• Support proposals, client workshops, and SOW development for agentic FinOps programs.

Skills

Cloud engineering

AI automation

Platform architecture

FinOps automation

Education

Bachelor’s degree in CS/Engineering/IT/Data

Tools

LangGraph

AutoGen

Crew-style patterns

Python

TypeScript

Terraform

Bicep

ARM

Job description

Accenture’s Cloud Advisory practice seeks a seasoned architect and delivery leader to design agentic AI orchestration across multi-cloud environments. You will guide squads, build governance modules, and ensure production-grade automation aligned with FinOps principles.

You will mentor teams, define KPIs, and support client engagements, from workshops to SOWs, while advancing Responsible AI standards and secure, auditable workflows.