> Markdown version of [/jobs/ext/4561156-finops-ai-ml-engineer-manager](https://www.wearedevelopers.com/jobs/ext/4561156-finops-ai-ml-engineer-manager). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # FinOps AI / ML Engineer Manager - **Company:** Accenture - **Location:** Denver, CO, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Audit Trail, Microsoft Azure, Cloud Computing, Cloud Engineering, Continuous Integration, Key Management, Role-Based Access Control, Google Cloud, Enterprise Software Applications, Multi-Agent Systems - **Published:** November 4, 2026 - **Apply:** https://www.careerbuilder.com/job-details/finops-ai-ml-engineer-manager-denver-co--bb15d78b-91e3-4744-9bb0-0655b548e535 ## About the Role Engineering Management, Artificial Intelligence (AI), Team Player, Economics, Automation, Cloud Computing, Financial Analysis, Artificial Intelligence (AI), Microsoft Windows Azure, Amazon Web Services (AWS), 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 FinOps 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. ## Description * 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 FinOps 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 FinOps programs