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.

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.

• 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.

• 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)