AI Engineer - Senior

The posting, as Accenture Federal Services wrote it

At Accenture Federal Services, nothing matters more than helping the US 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 within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer 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!

Who you'll be

We are seeking an experienced AI/ML Engineer to design, develop, and deploy scalable, production-ready AI systems. This role involves building data pipelines, implementing algorithms, and operationalizing models using MLOps. The ideal candidate will optimize models for accuracy, latency, and scalability, while ensuring compliance with AI governance and ethical standards.

What you'll do

• Design, develop, and deploy scalable AI, ML, and generative AI systems.
• Build data pipelines for model training, evaluation, and inference.
• Implement algorithms in Python and operationalize models using MLOps, CI/CD, and containerization frameworks.
• Design and maintain APIs and microservices.
• Optimize models for accuracy, latency, and scalability.
• Ensure compliance with AI governance, documentation, and ethical standards.
• Collaborate with agile engineering teams to deploy production-level GenAI models and applications.

What you need

• US Citizen with an Active TS/SCI CIP
• Bachelor’s degree required with a minimum of 8 years of experience in AI/ML.
• Advanced Python programming skills.
• Strong understanding of algorithms, data structures, and distributed systems.
• Hands-on experience with ML frameworks like PyTorch, TensorFlow, and scikit-learn.
• Proficiency with cloud platforms such as AWS, Azure, or GCP.
• Experience deploying production GenAI/LLM systems, embeddings, and vector databases.
• Practical experience with MLOps tools such as MLflow, Azure ML, or Vertex AI.
• Background in NLP, computer vision, or reinforcement learning.

Preferred Qualifications

• Experience in federal, defense, or highly regulated environments.
• Knowledge of ethical AI, governance frameworks, and secure development practices.
• Skills in large-scale optimization, GPU acceleration, or distributed training.
• Experience building APIs, microservices, and automated ML workflows.

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, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio
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ions 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 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. 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.