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Accenture

Advises businesses and runs their technology

FinOps AI / ML Engineer Manager

AI Application EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A minimum of 8 years of experience in cloud engineering, AI automation, or platform architecture is required.
  • A minimum of 3 years leading FinOps automation programs is required.
  • A minimum of 1 year of experience with agentic AI frameworks, including LangGraph, AutoGen, or Crew-style patterns, and MCP integration is required.
  • A bachelor's degree in Computer Science, Engineering, IT, Data, or a similar field is required, or equivalent work experience of at least 12 years. Candidates with an associate degree must have at least 6 years of work experience.

Responsibilities

  • Define reference architectures for agentic AI orchestration, including multi-agent patterns, event-driven workflows, and MCP integration with AWS, Azure, GCP, and enterprise systems.
  • Establish frameworks for cost governance controls, including budget thresholds, tagging, and anomaly detection, using OPA/Rego or Sentinel; design infrastructure-as-code guardrails and reusable modules.
  • Lead squads in implementing agentic workflows, infrastructure-as-code 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 and Standard #7); ensure role-based access control, secrets management, and auditability in all agentic workflows.
  • Define key performance indicators for automation coverage, policy adherence, and realized savings; publish dashboards and executive readouts.
  • Support proposals, client workshops, and statements of work development for agentic-enabled FinOps programs.
  • Travel as required by business needs and client requirements, with travel varying from 0% to 100%.

Desired Qualifications

  • FinOps Certified Practitioner (FOCP) credential or cloud service provider certifications.
  • Proficiency in Python or TypeScript; infrastructure-as-code tools such as Terraform, Bicep, or ARM; policy-as-code engines such as OPA/Rego or Sentinel; and CI/CD tools such as GitHub Actions or Azure DevOps.
  • Additional certifications in Responsible AI or Cloud Architecture.
  • Team lead or mentoring experience in a consulting or engineering organization.
  • A master's degree in Computer Science, Engineering, IT, Data, or a similar field.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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