FinOps AI / ML Engineer Manager
About The Position
Accenture’s Cloud Advisory practice helps global enterprises achieve financial and operational value from cloud investments. Its FinOps and Cloud Economics teams combine financial governance, automation, AI, and technical expertise to drive savings and speed-to-value across AWS, Azure, and Google Cloud. The role is for a solution architect and delivery leader who builds agentic AI systems for cloud cost governance and leads teams delivering production-grade automation across multi-cloud environments. The manager defines architectures and governance frameworks, leads implementation of agentic workflows and infrastructure-as-code (IaC) controls, and operationalizes responsible AI and security practices. The role also develops performance measures and executive reporting, mentors team members, and supports client proposals and workshops. Travel may be required and can vary from 0% to 100% based on business and client needs.
Requirements
- At least 8 years of experience in cloud engineering, AI automation, or platform architecture.
- At least 3 years leading FinOps automation programs.
- At least 1 year of experience with agentic AI frameworks such as LangGraph, AutoGen, or Crew-style patterns and MCP integration.
- Bachelor’s degree in Computer Science, Engineering, IT, Data, or a similar field, or equivalent work experience (at least 12 years). For an associate’s degree, at least 6 years of work experience is required.
- Work authorization in the United States that does not now or in the future require visa sponsorship.
Nice To Haves
- FinOps Certified Practitioner (FOCP) credential or cloud service provider certifications.
- Proficiency in Python or TypeScript; IaC tools such as Terraform, Bicep, or ARM; policy-as-code engines such as OPA/Rego or Sentinel; and CI/CD tools such as GitHub Actions or Azure DevOps.
- Additional certifications in Responsible AI or Cloud Architecture.
- Team lead or mentoring experience in a consulting or engineering organization.
- Master’s degree in Computer Science, Engineering, IT, Data, or a similar field.
Responsibilities
- Define reference architectures for agentic AI orchestration, including multi-agent patterns, event-driven workflows, and MCP integration with AWS, Azure, GCP, and enterprise systems.
- Establish cost governance control frameworks for budget thresholds, tagging, and anomaly detection using OPA/Rego or Sentinel; design IaC guardrails and reusable modules.
- Lead squads implementing agentic workflows, IaC modules, and policy libraries, and ensure CI/CD integration and automated compliance checks.
- Mentor associate managers, consultants, and analysts on automation best practices and FinOps engineering standards.
- Operationalize Responsible AI standards (Policy 1010, Standard #7) and ensure RBAC, secrets management, and auditability in agentic workflows.
- Define KPIs for automation coverage, policy adherence, and realized savings; publish dashboards and executive readouts.
- Support proposals, client workshops, and SOW development for agentic-enabled FinOps programs.
- Travel as needed based on business needs and client requirements; travel may range from 0% to 100%.
Benefits
- Medical, dental, vision, life, and long-term disability coverage.
- 401(k) plan.
- Bonus opportunities.
- Paid holidays.
- Paid time off.
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What This Job Offers
Job Type
Full-time
Career Level
Manager
