FinOps AI / ML Engineer Assoc Director

Accenture; Arlington (VA); On-site; USD 151,000 - 381,000; Full time

Job summary

Accenture is seeking a senior technology leader to drive architecting agentic AI in FinOps and establish policy-as-code and IaC guardrails across hybrid cloud environments.

You will stand up reusable components, lead multi-disciplinary squads, and ensure compliant data sourcing and secure tooling while delivering measurable business value for global clients.

Qualifications

• Minimum 12 years of experience in cloud/platform engineering, data/AI, or SRE.
• Minimum 5 years of FinOps automation experience.
• Minimum 4 years of leading multi-workstream, multi-cloud programs at enterprise level.
• Minimum 1 year in Agentic AI frameworks, MCP integration, and Python/TypeScript/Go.
• Bachelor’s degree or equivalent experience (or 12 years).

Responsibilities

• Define the target architecture for agentic AI in FinOps and the integration blueprint for MCP-enabled tools, clouds, and enterprise systems.
• Establish policy-as-code and IaC guardrails (Terraform/ARM/Bicep) to enforce FinOps standards across environments.
• Stand up reusable agentic components and pipelines with SDKs/templates for delivery squads.
• Lead squads to implement policy-as-code controls and IaC modules for optimization and forecasting across multi-cloud portfolios.
• Operationalize agentic AI standards and ensure compliant data sourcing and enterprise AI tooling.
• Embed security and access controls (RBAC, secrets, auditability) in agentic workflows and IaC.
• Define KPIs and dashboards for savings, forecast accuracy, and policy adherence.
• Contribute to offerings/assets and solution architectures for agentic FinOps programs.

Skills

Cloud engineering

Data/AI

SRE experience

Agentic AI frameworks

Python

TypeScript

Go

Multi-cloud programs

Education

Bachelor’s degree in Computer Science, Engineering, IT, Data or equivalent

Tools

Terraform

ARM

Bicep

OPA/Rego

Sentinel

LangGraph/AutoGen/Crew

Job description

We Are:

Accenture’s Cloud Advisory practice is a market leader in helping global enterprises achieve measurable financial and operational value from their cloud investments. Our FinOps and Cloud Economics teams combine rigorous financial governance with automation, AI, and deep technical expertise to drive sustained savings and speed-to-value across AWS, Azure, and Google Cloud. We are a collaborative team of architects, engineers, financial analysts, and delivery experts who partner with world-class clients to transform how they manage, optimize, and govern cloud spend.

You Are:

A senior technology leader with extensive experience in cloud/platform engineering, data/AI, or SRE who has spent years driving FinOps automation at scale. You have proven experience leading multi-workstream, multi-cloud programs and can translate complex agentic AI architectures into tangible, executive-level business value for global enterprise clients.

The Work:

• Define the target architecture for agentic AI in FinOps (single- and multi-agent designs; event-driven agents; broker/coordination patterns) and the integration blueprint for MCP-enabled tools, clouds, and enterprise systems

• Establish the reference model for policy-as-code (cost, budget, commitment, tagging, anomaly response) and IaC guardrails (Terraform/ARM/Bicep) to enforce FinOps standards across environments

• Stand up reusable agentic components and pipelines (data ingestion, normalization, decisioning, action orchestration), and publish SDKs/templates so delivery squads can snap-in FinOps automations

• Lead squads (Managers/Consultants) to implement policy-as-code controls and IaC modules for optimization, allocation/showback/chargeback, and forecasting desks—scaling across multi-cloud client portfolios

• Operationalize Accenture Agentic AI standards and registration/monitoring requirements (Policy 1010 and Standard #7) for client solutions; ensure compliant data sourcing and use of approved enterprise AI tooling

• Embed security and access controls (RBAC, secrets, auditability) in agentic workflows and IaC; align with cloud security controls as applicable

• 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 to offering assets and sales pursuits; shape SOWs and solution architectures 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.

Here’s What You Need:

• Minimum of 12 years of experience in cloud/platform engineering, data/AI, or SRE

• 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 experience in Agentic AI frameworks (e.g., LangGraph/AutoGen/Crew-style patterns), MCP integration, and Python/TypeScript/Go

• 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 (AWS/Azure/GCP)

• You have proficiency in IaC (Terraform/Bicep/ARM) and policy-as-code engines (OPA/Rego, Sentinel)

• You have Executive storytelling capabilities; skilled at building value cases and aligning stakeholders across engineering, finance, security, and procurement

• You have additional coursework or certifications in Responsible AI or Cloud Architecture

• You have team lead experience in a global consulting or professional services firm

• You have external client-facing consulting experience at the C-suite or executive level

• Master’s degree in Computer Science, Engineering, IT, Data (or similar field)

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We anticipate this job posting will be posted until 08/31/2026. Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here: (https://www.accenture.com/us-en/careers/local/benefits)

U.S. Employee Benefits | Accenture (https://www.accenture.com/us-en/careers/local/benefits)

Role Location Annual Salary RangeCalifornia $163,000 to $413,600Cleveland $150,900 to $330,900Colorado $163,000 to $357,400District of Columbia $173,500 to $380,500Illinois $150,900 to $357,400Maine $138,800 to $304,400Maryland $163,000 to $357,400Massachusetts $163,000 to $380,500Minnesota $163,000 to $357,400New York $150,900 to $413,600New Jersey $173,500 to $413,600Virginia $150,900 to $380,500Washington $173,500 to $380,500

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