About Accenture Federal Services
Accenture Federal Services is a technology company within global Accenture dedicated to helping the US federal government make the nation stronger and safer and life better for people. With 13,000+ people united in a shared purpose, the organization pursues the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Recognized as a Glassdoor Top 100 Best Place to Work, Accenture Federal Services offers a collaborative and caring community where employees are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more.
About the Role
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 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 required.
Compensation
Base Pay Range (California, Colorado, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia):
$126,300–$243,100 USD
Compensation varies depending on office location, role, skill set, and level of experience.
Benefits
Accenture Federal Services offers a wide variety of benefits. More information is available upon request.
Equal Employment Opportunity
Accenture Federal Services is an Equal Employment Opportunity employer. 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.
As an Affirmative Action Employer for Veterans and Individuals with Disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to service members.
Reasonable Accommodations
Accenture Federal Services is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you require accommodation for a disability or religious observance during the interview process, please speak with your recruiter. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
Application Requirements and Other Information
- Applicants for employment in the US 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.
- 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 residents or those who live in or plan to work from Los Angeles County upon being hired for this position should contact the recruiter for additional important information.
We accept applications on an ongoing basis and there is no fixed deadline to apply.
About Accenture Federal Services
Accenture Federal Services is a wholly owned subsidiary of Accenture LLP dedicated to serving the U.S. federal government. It combines commercial innovation with federal expertise to help agencies modernize operations, enhance citizen services, and achieve critical mission outcomes. Key areas of focus include digital transformation, cloud adoption, cybersecurity, artificial intelligence, data analytics, and enterprise platform modernization.
Interested in this role?
Apply now to join Accenture Federal Services.