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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # FinOps AI / ML Engineer Manager - **Company:** Accenture - **Location:** St. Petersburg, FL, United States - **Salary:** $87,400.0 - $293,800.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Computing Platforms, Audit Trail, Microsoft Azure, Cloud Engineering, Continuous Integration, Github, Python (Programming Language), Key Management, Role-Based Access Control, TypeScript, Policy as Code, Google Cloud, Enterprise Software Applications, Multi-Agent Systems, Information Technology, Bicep, Terraform - **Published:** August 10, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=36f3dbacc0f3a1be ## About the Role 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., * Minimum of 8 years of experience in cloud engineering, AI automation, or platform architecture * Minimum of 3 years leading FinOps automation programs * Minimum 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 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 FinOps Certified Practitioner (FOCP) credential or CSP cloud certifications * You have proficiency in Python/TypeScript; IaC (Terraform/Bicep/ARM); policy-as-code engines (OPA/Rego, Sentinel); CI/CD tools (GitHub Actions, Azure DevOps) * 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) ## 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 Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements. ## Related Videos - [Move Fast, Break Budgets: FinOps in the Age of DevOps and AI](https://www.wearedevelopers.com/videos/2016-move-fast-break-budgets-finops-in-the-age-of-devops-and-ai) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Back(end) to the Future: Embracing the continuous Evolution of Infrastructure and Code](https://www.wearedevelopers.com/videos/440-back-end-to-the-future-embracing-the-continuous-evolution-of-infrastructure-and-code) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) ## Related Articles - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)