Cleared AI Engineer - SME

The role

You will lead the design, development, and deployment of advanced AI, ML, and Generative AI solutions. You will architect enterprise-scale solutions and maintain data pipelines to support mission objectives.

What you will do

• Architect, develop, and deploy enterprise-scale AI, ML, and Generative AI solutions.
• Design and maintain robust data pipelines.
• Develop advanced AI/ML applications using Python and industry-leading frameworks.
• Operationalize machine learning models through MLOps, CI/CD pipelines, and containerized deployment.
• Design, develop, and maintain APIs, microservices, and scalable AI services.
• Optimize AI models for accuracy, performance, latency, reliability, and scalability.
• Integrate Large Language Models, embeddings, RAG architectures, and vector database technologies.
• Collaborate with cross-functional stakeholders to translate mission requirements into technical solutions.
• Ensure adherence to AI governance, security, compliance, and responsible AI standards.
• Provide technical leadership, engineering guidance, and subject matter expertise.

Required qualifications

• Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or a related technical field or additional relevant experience.
• 10+ years of experience designing, building, and deploying AI/ML solutions in production environments.
• Expert-level Python development experience.
• Deep understanding of algorithms, data structures, distributed computing, and software engineering principles.
• Hands-on experience deploying and supporting production Generative AI and LLM-based solutions.
• Experience with embeddings, vector databases, RAG architectures, prompt engineering, and AI orchestration frameworks.
• Strong proficiency with machine learning frameworks such as PyTorch, TensorFlow, and Scikit-learn.
• Experience deploying solutions within cloud environments including AWS, Azure, or Google Cloud Platform.
• Experience implementing MLOps practices and tools such as MLflow, Azure Machine Learning, Vertex AI, or similar platforms.
• Experience developing scalable APIs, microservices, and containerized applications using Docker and Kubernetes.

Nice to have

• Experience supporting Federal Civilian, Defense, Intelligence Community, or other highly regulated government environments.
• Knowledge of Responsible AI, AI governance frameworks, and model risk management practices.
• Experience with large-scale distributed training, GPU acceleration, and high-performance computing environments.
• Background in Natural Language Processing (NLP), Computer Vision, Reinforcement Learning, or Agentic AI architectures.
• Experience designing and implementing secure AI solutions within classified environments.

Benefits

• Certifications
• Industry training
• Hands-on experience

Before you apply

• US Citizenship with an at least Active Top Secret Clearance.
• Applicants 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 currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration.

About the company

Accenture Federal Services is a technology company within global Accenture that helps the US federal government. Its 13,000+ people pursue technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.