Consultant Engineer - AI Governance, Model Risk & Compliance

In Strategy & Consulting we work with C-suite executives, leaders and boards of the world's leading organizations, helping them reinvent every part of their enterprise to drive greater growth, enhance competitiveness, implement operational improvements, reduce cost, deliver sustainable 360° stakeholder value, and set a new performance frontier for themselves and the industry in which they operate. Our deep industry and functional expertise is supported by proprietary assets and solutions that help organizations transform faster and become more resilient. Underpinned by technology, data, analytics, AI, change management, talent and sustainability capabilities, our Strategy & Consulting services help architect and accelerate all aspects of an organization's total enterprise reinvention.

We are

Finance Risk Compliance (FRC), and we give Chief Financial Officers, Chief Risk Officers, Chief Compliance Officers, Chief Data Officers and their execs the sounding board they need and the industry best practices they seek. We've got the deep industry experience, the functional insights, the data power, and the digital tech leadership to help our clients make important changes. Through our capabilities in Finance, Risk, Compliance, Data, Controls, GenAI and Transformation we solve our clients' toughest problems, to get ready for the future. Visit us here : Simplify Compliance and Improve Risk Management | Accenture (https : / / www.accenture.com / us-en / services / finance-risk / risk-compliance) .

You are

A consultant who has helped build and deliver transformative AI / ML and GenAI initiatives in the Financial Services industry (banking, insurance, capital markets). . You bring client-facing and consulting capabilities, experience operationalizing AI - from vendor selection and prototyping to testing, automation, deployment, and monitoring. With an understanding of model lifecycle and AI risk governance, you help clients harness AI safely and securely, aligning innovation with regulatory compliance, data security, and business outcomes.

The work

Support client engagements focused on deploying AI / GenAI solutions, navigating regulatory landscapes, and delivering measurable business outcomes

Contribute to AI initiatives including evaluating vendor platforms, designing and testing prototypes, integrating enterprise data pipelines, and automating workflows

Assist leads who are providing oversight across the model lifecycle - supporting development, independent validation, monitoring, and control enhancements for model and AI governance

Partner with clients to test and deploy GenAI and traditional AI models, ensuring alignment with ethical AI principles, operational controls, and business context

Support the implementation of AI risk mitigation frameworks, addressing data security, privacy, access control, explainability, model bias, and monitoring

Collaborate with technology teams to ensure seamless deployment and automation of AI / GenAI solutions in production environments

Aid in evaluating third-party AI platforms, LLM providers, and emerging tools for fit, functionality, compliance, and risk exposure

Travel as needed based on client expectations.

Here's what you need :

Minimum of 3 years' banking or consulting experience delivering AI / ML or model lifecycle solutions in Financial Services and / or Insurance, including hands-on client delivery.

Minimum of 3 years' experience supporting the testing, automation, monitoring, or deployment of AI / ML models and applications in production environments

Minimum of 2 years' experience implementing model risk governance frameworks, including controls for model validation, bias mitigation, and performance monitoring

Experience working with Python and understanding of, but not limited to, libraries like LangChain and Huggingface

Bachelor's or Master's degree in a quantitative or technical discipline (e.g., Engineering, Information Systems, Applied Mathematics)

Bonus points if

Consulting experience from a top competitor firm is highly preferred.

Experience in model validation, audit, or model risk management within a regulated Financial Services environment

Prior experience working in or with regulatory bodies (e.g., OCC, FRB, OSFI, FDIC) in model supervision, AI governance, or data risk

Exposure to deployment and risk controls for credit risk, AML / KYC, fraud detection, or marketing models

Familiarity with leading AI / GenAI vendor platforms, including LLMs, open-source models, and APIs (e.g., OpenAI, Anthropic, Amazon Q, Microsoft Copilot)

Hands-on experience with cloud environments (AWS, Azure, GCP) or MLOps tools for automating and monitoring AI pipelines

Demonstrated understanding of data security principles, including data encryption, access management, PII handling, and compliance with GDPR / CCPA / OSFI B-13

Experience supporting business transformation through AI

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 accept applications on an on-going basis and there is no fixed deadline to apply.

Information on benefits is here. (https : / / www.accenture.com / us-en / careers / local / total-rewards)

Role Location Annual Salary Range

California $63,800 to $205,800

Cleveland $59,100 to $164,600

Colorado $63,800 to $177,800

District of Columbia $68,000 to $189,300

Illinois $59,100 to $177,800

Maryland $63,800 to $177,800

Massachusetts $63,800 to $189,300

Minnesota $63,800 to $177,800

New York / New Jersey $59,100 to $205,800

Washington $68,000 to $189,300

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