Job Description
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Company Overview
A leading global professional services and technology organization is seeking a senior-level FinOps AI / ML Engineer Manager to join its Cloud Advisory practice. The organization helps global enterprises achieve measurable financial and operational value from cloud investments through FinOps, cloud economics, automation, artificial intelligence, and technical expertise across major cloud platforms.
About the Role
The organization is seeking a skilled solution architect and delivery leader with 8–12 years of experience in cloud engineering, AI automation, or platform architecture, including 3–5 years leading FinOps automation programs. The role focuses on building agentic AI systems that deliver measurable cloud cost governance outcomes while leading teams responsible for production-grade automation across multi-cloud environments.
Key Responsibilities
- Define reference architectures for agentic AI orchestration, including multi-agent patterns and event-driven workflows.
- Design and implement Model Context Protocol (MCP) integrations across AWS, Azure, Google Cloud, and enterprise systems.
- Establish frameworks for cloud cost governance controls, including budget thresholds, tagging, and anomaly detection.
- Develop policy-based governance solutions using OPA/Rego or Sentinel.
- Design infrastructure-as-code guardrails and reusable infrastructure modules.
- Lead engineering squads responsible for implementing agentic workflows, infrastructure-as-code modules, and policy libraries.
- Ensure CI/CD integration and automated compliance checks across FinOps automation solutions.
- Mentor associate managers, consultants, and analysts on automation best practices and FinOps engineering standards.
- Operationalize Responsible AI standards and ensure appropriate governance across agentic workflows.
- Implement RBAC, secrets management, auditability, and other security controls for AI-powered automation.
- Define KPIs covering automation coverage, policy adherence, and realized cloud savings.
- Develop dashboards and executive-level reporting to communicate FinOps performance and outcomes.
- Support proposals, client workshops, solution development, and Statements of Work (SOWs) for agentic-enabled FinOps programs.
- Collaborate with technical and business stakeholders to identify opportunities for cloud cost optimization and automation.
- Lead delivery efforts that improve cloud financial governance, operational efficiency, and measurable business value.
Required Qualifications
- Minimum of 8 years of experience in cloud engineering, AI automation, or platform architecture.
- Minimum of 3 years of experience leading FinOps automation programs.
- Minimum of 1 year of experience working with agentic AI frameworks such as LangGraph, AutoGen, or Crew-style patterns.
- Experience with MCP integration.
- Bachelor’s degree in Computer Science, Engineering, Information Technology, Data, or a similar field, or equivalent experience.
- Candidates without a bachelor’s degree may qualify through equivalent professional experience, with a minimum of 12 years of relevant work experience.
- Candidates with an associate’s degree must have a minimum of 6 years of relevant work experience.
- Strong understanding of cloud platforms, automation, infrastructure, and governance.
- Experience leading technical teams and delivering production-grade automation solutions.
- Strong understanding of security, compliance, and responsible AI practices.
Preferred Skills and Experience
- Experience designing multi-agent AI architectures and event-driven workflows.
- Experience implementing FinOps governance and cloud cost optimization solutions.
- Knowledge of OPA/Rego or Sentinel policy frameworks.
- Experience with infrastructure-as-code and reusable cloud modules.
- Experience integrating CI/CD pipelines with automated compliance controls.
- Understanding of RBAC, secrets management, auditability, and secure AI workflows.
- Experience developing executive dashboards and KPIs for cloud financial management.
- Strong client-facing communication, presentation, and consulting skills.
- Experience supporting proposals, workshops, and SOW development.
- Ability to mentor and develop technical professionals across different levels.
- Willingness to travel based on business and client requirements.
Disclaimer
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