A

Accenture

Advises businesses and runs their technology

Finops AI / ML Engineer Associate Director

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

About the Job

Requirements

  • Minimum of 12 years of experience in cloud/platform engineering, data/AI, or site reliability engineering.
  • Minimum of 5 years of experience driving FinOps automation at scale.
  • Minimum of 4 years of experience leading multi-workstream, multi-cloud programs at the enterprise level.
  • Minimum 1 year of experience in agentic AI frameworks (e.g., LangGraph, AutoGen, or Crew-style patterns), MCP integration, and Python, TypeScript, or Go.
  • A bachelor's degree in Computer Science, Engineering, IT, Data, or a similar field, or equivalent work experience (minimum 12 years). If the candidate has an associate’s degree, a minimum of 6 years of work experience is required.

Responsibilities

  • Define the target architecture for agentic AI in FinOps, including single- and multi-agent designs, event-driven agents, broker and coordination patterns, and the integration blueprint for MCP-enabled tools, cloud platforms, and enterprise systems.
  • Establish the reference model for policy-as-code covering cost, budget, commitment, tagging, and anomaly response, as well as infrastructure-as-code guardrails using Terraform, ARM, and Bicep to enforce FinOps standards across environments.
  • Stand up reusable agentic components and pipelines for data ingestion, normalization, decisioning, and action orchestration, and publish software development kits and templates so delivery squads can integrate FinOps automations.
  • Lead squads of managers and consultants implementing policy-as-code controls and infrastructure-as-code modules for optimization, allocation, showback and chargeback, and forecasting desks across multi-cloud client portfolios.
  • Operationalize Accenture Agentic AI standards and registration and monitoring requirements (Policy 1010 and Standard #7) for client solutions, ensuring compliant data sourcing and use of approved enterprise AI tooling.
  • Embed security and access controls, including role-based access control, secrets, and auditability, in agentic workflows and infrastructure as code; align with applicable cloud security controls.
  • Define key performance indicators and telemetry for realized savings, forecast accuracy, allocation coverage, and policy adherence; publish executive dashboards and readouts for finance and product leaders.
  • Contribute to offering assets and sales pursuits, and shape statements of work and solution architectures for agentic-enabled FinOps programs.
  • Travel as needed for business and client requirements; travel may range from 0% to 100%.

Desired Qualifications

  • FinOps Certified Practitioner credential or cloud service provider certifications for AWS, Azure, or Google Cloud.
  • Proficiency in infrastructure as code (Terraform, Bicep, or ARM) and policy-as-code engines (OPA/Rego or Sentinel).
  • Executive storytelling capabilities, building value cases, and aligning stakeholders across engineering, finance, security, and procurement.
  • Additional coursework or certifications in Responsible AI or Cloud Architecture.
  • Team lead experience in a global consulting or professional services firm.
  • External client-facing consulting experience at the C-suite or executive level.
  • 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

Recently Posted Jobs

Explore more opportunities at Accenture

See more jobs