FinOps AI / ML Engineer Assoc Director
About The Position
Accenture's Cloud Advisory practice helps global enterprises achieve measurable financial and operational value from cloud investments. Its FinOps and Cloud Economics teams combine financial governance, automation, AI, and technical expertise to optimize cloud spend across AWS, Azure, and Google Cloud. The FinOps AI / ML Engineer Associate Director is a senior technology leader who drives large-scale FinOps automation and leads enterprise, multi-workstream, multi-cloud programs. The role defines agentic AI architectures and integrations, establishes policy-as-code and infrastructure-as-code guardrails, and develops reusable agentic components and delivery assets. It also leads teams implementing FinOps controls and automations, ensures solutions meet Accenture AI standards and security requirements, defines performance measures and executive reporting, and supports offerings and client sales pursuits. Travel may be required and can range from 0 to 100% depending on business needs and client requirements. Compensation varies by location, skills, role, and experience. The posting is anticipated to remain open until 11/29/2026. Accenture offers medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off.
Requirements
- At least 12 years of experience in cloud/platform engineering, data/AI, or SRE.
- At least 5 years of experience driving FinOps automation at scale.
- At least 4 years of experience leading enterprise-level, multi-workstream, multi-cloud programs.
- At least 1 year of experience with Agentic AI frameworks (such as LangGraph, AutoGen, or Crew-style patterns), MCP integration, and Python, TypeScript, or Go.
- Bachelor's degree in Computer Science, Engineering, IT, Data, or a similar field, or equivalent work experience of at least 12 years. Applicants with an associate's degree must have at least 6 years of work experience.
Nice To Haves
- FinOps Certified Practitioner (FOCP) credential or AWS, Azure, or GCP cloud certifications.
- Proficiency in IaC tools such as Terraform, Bicep, or ARM and policy-as-code engines such as OPA/Rego or Sentinel.
- Executive storytelling skills, including building value cases and aligning engineering, finance, security, and procurement stakeholders.
- Coursework or certifications in Responsible AI or Cloud Architecture.
- Team lead experience at a global consulting or professional services firm.
- External client-facing consulting experience at the C-suite or executive level.
- Master's degree in Computer Science, Engineering, IT, Data, or a similar field.
Responsibilities
- Define target architectures for agentic AI in FinOps, including single- and multi-agent designs, event-driven agents, and broker or coordination patterns.
- Define integration blueprints for MCP-enabled tools, cloud platforms, and enterprise systems.
- Establish reference models for policy-as-code covering cost, budgets, commitments, tagging, and anomaly response, as well as IaC guardrails using Terraform, ARM, and Bicep.
- Develop reusable agentic components and pipelines for data ingestion, normalization, decisioning, and action orchestration; publish SDKs and templates for delivery teams.
- Lead managers and consultants implementing policy-as-code controls and IaC modules for optimization, allocation, showback/chargeback, and forecasting across multi-cloud client portfolios.
- Operationalize Accenture Agentic AI standards and registration and monitoring requirements, including Policy 1010 and Standard #7; ensure compliant data sourcing and approved enterprise AI tooling.
- Embed security and access controls, including RBAC, secrets management, and auditability, in agentic workflows and IaC, aligning with applicable cloud security controls.
- Define KPIs and telemetry for realized savings, forecast accuracy, allocation coverage, and policy adherence; publish executive dashboards and readouts for finance and product leaders.
- Contribute offering assets and sales pursuits, and shape SOWs and solution architectures for agentic-enabled FinOps programs.
- Travel as required by business needs and client requirements, potentially from 0 to 100%.
Benefits
- Medical coverage
- Dental coverage
- Vision coverage
- Life insurance
- Long-term disability coverage
- 401(k) plan
- Bonus opportunities
- Paid holidays
- Paid time off
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What This Job Offers
Job Type
Full-time
Career Level
Senior
