Cleared AI Engineer - SME

Description

The company supports US federal government missions in defense, national security, public safety, civilian, and military health. It is a technology company within the global Accenture group, with more than 13,000 people.

The team is hiring an AI Engineer subject matter expert to support critical programs for the federal and national security community.

In this role you will lead the design, build, and rollout of advanced AI, machine learning, and generative AI solutions that have real operational impact.

Responsibilities

• Architect, build, and deploy enterprise-scale AI, ML, and generative AI solutions that meet mission goals.
• Build and maintain reliable data pipelines for model training, evaluation, deployment, and inference.
• Build advanced AI and ML applications in Python using leading frameworks.
• Run machine learning models in production using MLOps practices, CI/CD pipelines, and containers.
• Design, build, and maintain APIs, microservices, and scalable AI services.
• Tune AI models for accuracy, speed, latency, reliability, and scale.
• Integrate large language models, embeddings, retrieval-augmented generation (RAG) architectures, and vector databases.
• Work with cross-functional stakeholders to turn mission requirements into technical solutions.
• Make sure AI work follows governance, security, compliance, and responsible AI standards.
• Give technical leadership, engineering guidance, and subject matter expertise across AI initiatives.

Requirements

• Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or a related technical field. Other relevant experience may be considered in place of a degree.
• 10+ years designing, building, and deploying AI and ML solutions in production.
• Expert-level Python development.
• Solid grasp 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 skills in machine learning frameworks such as PyTorch, TensorFlow, and Scikit-learn.
• Experience deploying solutions in AWS, Azure, or Google Cloud Platform.
• Experience with MLOps practices and tools such as MLflow, Azure Machine Learning, Vertex AI, or similar platforms.
• Experience building scalable APIs, microservices, and containerized applications with Docker and Kubernetes.
• Bonus: experience supporting Federal Civilian, Defense, Intelligence Community, or other highly regulated government environments.
• Bonus: knowledge of Responsible AI, AI governance frameworks, and model risk management.
• Bonus: experience with large-scale distributed training, GPU acceleration, and high-performance computing.
• Bonus: background in Natural Language Processing (NLP), Computer Vision, Reinforcement Learning, or Agentic AI architectures.
• Bonus: experience designing and implementing secure AI solutions in classified environments.

Conditions

US citizenship and an active Top Secret clearance at minimum.

Pay range applies in California, Colorado, Connecticut, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Ohio, Vermont, Virginia, Washington, and the District of Columbia: $109,500 to $224,200 USD.

Final pay depends on factors such as location, role, skill set, and experience level.

Applications are accepted on an ongoing basis with no fixed deadline.

The company provides equal opportunity to all applicants.

Benefits

• A broad range of benefits, with details available from the company.
• Support to grow, learn, and build skills through hands-on work, certifications, and industry training.