AI Engineer - SME

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!

We are seeking a seasoned AI/ML Engineer to design, develop, and deploy scalable, production‑ready AI systems. This role involves building data pipelines, implementing algorithms in Python, and operationalizing models with MLOps, CI/CD, and containerization. The role demands optimizing models for performance and ensuring compliance with AI governance and ethical standards.

• Design, develop, and deploy AI, machine learning, and generative AI systems.
• Build and maintain data pipelines for model training, evaluation, and inference.
• Implement algorithms using languages such as Python.
• Operationalize models utilizing 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.

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

• Experience in federal, defense, or highly regulated environments.
• Knowledge of ethical AI and governance frameworks.
• 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, Vermont, Virginia, Washington, and the District of Columbia . The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience.

Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on‑going basis and there is no fixed Final date to receive applications. The pay range for the states of California, Colorado, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia is: $109,500 - $224,200 USD

As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies…