FinOps AI​/ML Engineer Manager

Position: FinOps AI / ML Engineer Manager
We Are:

Accenture's Cloud Advisory practice is a market leader in helping global enterprises achieve measurable financial and operational value from their cloud investments. Our Fin Ops and Cloud Economics teams combine rigorous financial governance with automation, AI, and deep technical expertise to drive sustained savings and speed-to-value across AWS, Azure, and Google Cloud. We are a collaborative team of architects, engineers, financial analysts, and delivery experts who partner with world-class clients to transform how they manage, optimize, and govern cloud spend.

You Are:

A skilled solution architect and delivery leader with 8–12 years in cloud engineering, AI automation, or platform architecture who has spent 3–5 years leading Fin Ops automation programs. You are energized by building agentic AI systems that drive real cost governance outcomes, and you thrive guiding squads to ship production-grade automations across multi-cloud environments.

The Work:

Define reference architectures for agentic AI orchestration (multi-agent patterns, event-driven workflows) and MCP integration with AWS, Azure, GCP, and enterprise systems

Establish frameworks for cost governance controls (budget thresholds, tagging, anomaly detection) 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 Fin Ops engineering standards

Operationalize Responsible AI standards (Policy 1010, Standard #7); ensure RBAC, secrets management, and auditability in all 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 Fin Ops programs

Travel may be required for this role.  The amount of travel will vary from 0 to 100% depending on business need and client requirements.

Here's What You Need:

Minimum of 8 years of experience in cloud engineering, AI automation, or platform architecture

Minimum of 3 years leading Fin Ops automation programs

Minimum 1 year experience in agentic AI frameworks (Lang Graph, Auto Gen, Crew-style patterns) and MCP integration

Bachelor's degree in Computer Science, Engineering, IT, Data (or similar field) or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)
Bonus Points If:

You hold a Fin Ops Certified Practitioner (FOCP) credential or CSP cloud certifications

You have proficiency in Python/Type Script;
IaC (Terraform/Bicep/ARM); policy-as-code engines (OPA/Rego, Sentinel); CI/CD tools (Git Hub Actions, Azure Dev Ops)
You have additional certifications in Responsible AI or Cloud Architecture You have team lead or mentoring experience in a consulting or engineering organization

Master's degree in Computer Science, Engineering, IT, Data (or similar field)
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.

We anticipate this job posting will be posted until 08/31/2026.Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:

U.S. Employee Benefits | Accenture Role Location Annual Salary Range California $94,400 to $293,800

Clev…