AI / ML Engineer Manager

Accenture Federal Services; Arlington (VA); On-site; USD 126,300 - 243,100; Full time

Benefits offered by this job

Competitive salary

Hands-on experience

Industry training

Job summary

A leading technology consulting firm is seeking an AI / ML Engineer Manager to lead a specialized group dedicated to productionizing machine learning for the DoD. The ideal candidate will have over 8 years of experience, including technical leadership, and proficiency in ML frameworks. This role offers a competitive salary and the opportunity to make a significant impact on federal missions.

Qualifications

• 8+ years of experience in data science or machine learning engineering.
• 3+ years in a technical leadership or management role.
• Proven experience building and maintaining production ML systems in a cloud environment.

Responsibilities

• Lead, mentor, and manage a high‑performing team.
• Define and execute the technical strategy for the MaaS platform.
• Oversee the design, development, and deployment of machine learning models.

Skills

Data science or machine learning engineering

Leadership

MLOps principles

Cloud environments

Python programming

Education

8+ years of experience

Tools

TensorFlow

PyTorch

Docker

Kubernetes

Job description

AI / ML Engineer Manager

Join to apply for the AI / ML Engineer Manager role at Accenture Federal Services

At Accenture Federal Services, nothing matters more than helping the U.S. federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company and part of global Accenture, to do work that matters in a collaborative and caring community, where you feel like you belong and are empowered to grow, learn and thrive through hands‑on experience, certifications, industry training and more. Join us to drive positive, lasting change that moves missions and the government forward! As the Manager for the AI/ML Models as a Service (MaaS) team, you will lead a specialized group of developers and engineers dedicated to productionizing machine learning for the DoD. Your mission is to build and manage a centralized platform that provides access to pre‑trained and custom‑built AI/ML models, simplifying their integration and accelerating the delivery of AI‑powered capabilities across the enterprise. This is a strategic, hands‑on leadership role where you will define the vision for our MaaS offerings and oversee the entire lifecycle of model development, deployment, and operations.

Responsibilities

• Lead, mentor, and manage a high‑performing team of ML modeling developers and MLOps engineers.
• Define and execute the technical strategy for the MaaS platform, including the frameworks for model training, versioning, deployment, and monitoring.
• Oversee the design, development, and deployment of a diverse portfolio of machine learning models to solve complex mission challenges.
• Establish and enforce robust MLOps practices to ensure automated, reliable, and scalable CI/CD pipelines for machine learning models.
• Architect the service layer for the MaaS platform, ensuring models are exposed via secure, scalable, and well‑documented APIs.
• Collaborate with data scientists, data engineers, and mission stakeholders to identify use cases and translate requirements into production‑ready models.
• Implement governance, security, and ethical AI standards across the entire model lifecycle.
• Manage project timelines, resource allocation, and stakeholder communication for all MaaS initiatives.

Required Qualifications

• 8+ years of experience in data science or machine learning engineering, with at least 3 years in a technical leadership or management role.
• Deep expertise in developing and deploying ML models using common frameworks (e.g., TensorFlow, PyTorch, scikit‑learn).
• Proven experience building and maintaining production ML systems in a cloud environment (AWS, Azure, GCP).
• Strong understanding of MLOps principles and hands‑on experience with relevant tools (e.g., MLflow, Kubeflow, AWS SageMaker, Azure ML).
• Proficiency with containerization technologies (Docker, Kubernetes) and CI/CD tools.
• Experience with programming skills in Python and familiarity with software engineering best practices.
• US Citizenship (No Dual Citizenship).

Preferred Qualifications

• Direct experience building a Model‑as‑a‑Service or Machine‑Learning‑as‑a‑Service platform.
• Experience with ML platforms like Databricks or AWS SageMaker AI.
• Familiarity with Infrastructure‑as‑Code (IaC) tools like Terraform.
• Experience working in a high‑security DoD or Intelligence Community environment.
• Demonstrated success leading teams that deliver complex, data‑driven software projects.

Security Clearance

• Active TS or TS/SCI Clearance

Compensation

As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland. The base pay range for this position in these locations is $126,300—$243,100 USD.

What We Believe

As a company wholly dedicated to serving the U.S. federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and included. This is grounded in our core values and our experience that hiring and developing great people who reflect different perspectives, experiences, and backgrounds is key to driving innovation and delivering the results that our clients and the country count on.

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Federal Services Equal Opportunity Policy Statement. Accenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an affirmative action employer for veterans and individuals with disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women.

Requesting an Accommodation

Accenture Federal Services is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture Federal Services and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you are being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for, please speak with your recruiter.

Other Employment Statements

Applicants for employment in the U.S. must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. The company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the company’s legal duty to furnish information. California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.