LOG IN
SIGN UP
Canary Wharfian - Online Investment Banking & Finance Community.
Sign In
or continue with e-mail and password
Forgot password?
Don't have an account?
Join Canary Wharfian
or continue with e-mail and password
By signing up, you agree to our Terms & Conditions and Privacy Policy.

FinOps AI / ML Engineer Assoc Director

ExperiencedNo visa sponsorship
Accenture logo

at Accenture

Consultancies

Posted 11 days ago

No clicks

**FinOps AI/ML Associate Director** drives FinOps automation, leveraging agentic AI architectures across AWS, Azure, and Google Cloud. Responsibilities include defining target AI tech stacks, enabling policy-as-code, leading squad implementation, operationalizing Accenture standards, integrating with enterprise systems, and ensuring security. Proven expertise in cloud engineering, data/AI, or SRE, with FinOps automation experience at scale and senior leadership in multi-cloud programs.

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

Full 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 desksscaling 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.

FinOps AI / ML Engineer Assoc Director

Compensation

Not specified

City: Not specified

Country: Not specified

Accenture logo
Consultancies

11 days ago

No clicks

at Accenture

ExperiencedNo visa sponsorship

**FinOps AI/ML Associate Director** drives FinOps automation, leveraging agentic AI architectures across AWS, Azure, and Google Cloud. Responsibilities include defining target AI tech stacks, enabling policy-as-code, leading squad implementation, operationalizing Accenture standards, integrating with enterprise systems, and ensuring security. Proven expertise in cloud engineering, data/AI, or SRE, with FinOps automation experience at scale and senior leadership in multi-cloud programs.

Full 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 desksscaling 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.