AI/ML Engineer

📋 Job Overview

True Zero Technologies, a veteran-owned small business, was founded on the principle that the purposeful enablement of people and technology in an organization directly ties to the quality of its outcomes. True Zero recognizes that those outcomes begin and end with our people, and that is what we have built a community of like-minded, driven, and passionate individuals and innovators who are aligned in a common goal of delivering top-tier services to our customers. Our culture and commitment have been recognized through numerous accolades, including being named one of the Best Places to Work in 2023 in two categories (“Prosperous and Thriving” ($5MM–$50MM in gross revenue) and “Mid-Atlantic Region” (DC, DE, MD, NC, VA, WV)), and again in 2025 as a Best Places to Work honoree. In addition, True Zero earned coveted spots on the Inc. 5000 list of fastest-growing companies in America in 2022, 2023, and 2025, a testament to our sustained growth driven by our people-first approach and unwavering dedication to excellence.

🏢 About True Zero Technologies

True Zero Technologies is a veteran-owned small business that specializes in delivering top-tier services to customers through purposeful enablement of people and technology. The company has been recognized as one of the Best Places to Work and has been listed on the Inc. 5000 list of fastest-growing companies in America multiple times.

🎯 The Role

The AI/ML Engineer is responsible for designing, building, integrating, deploying, and operating artificial intelligence and machine learning capabilities that support mission and business workflows in secure government cloud environments. This role spans the AI/ML lifecycle, including data preparation, model and application development, evaluation, deployment, monitoring, and ongoing optimization.

✅ Key Responsibilities

• Build and integrate AI/ML capabilities supporting mission workflows using FedRAMP-authorized services available in AWS GovCloud, from data preparation through deployment, evaluation, and monitoring.
• Design, develop, test, and operationalize AI/ML solutions aligned to defined mission and business requirements.
• Translate operational use cases into scalable AI/ML architectures, services, and integration patterns.
• Develop APIs, services, and application integrations that expose AI/ML capabilities to mission applications and enterprise platforms.
• Collaborate with application engineers, data engineers, cloud engineers, cybersecurity teams, and mission stakeholders throughout the solution lifecycle.
• Conduct technical evaluations and proof-of-concept implementations to determine whether proposed AI/ML technologies are appropriate for the mission, security environment, and available GovCloud services.
• Maintain technical documentation covering architecture, model behavior, interfaces, dependencies, deployment procedures, and operational requirements.

📌 Required Qualifications

• Bachelor’s degree in Cybersecurity, Computer Science, Information Technology, Information Systems, or a related technical discipline.
• Experience with Generative AI, foundation models, and RAG architectures, where applicable to the program scope.
• Experience with embeddings, vector search, semantic retrieval, prompt engineering, and LLM evaluation.
• Experience with supervised or unsupervised learning techniques and model development.
• Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
• Experience with data engineering, data pipelines, and data storage solutions.
• Experience with security, data handling, compliance, and Zero Trust requirements.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills.

⭐ Desirable Experience

• Experience with FedRAMP-authorized services in AWS GovCloud.
• Experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn).
• Experience with large language models and foundation-model services.
• Experience with document ingestion, parsing, chunking, embedding generation, indexing, retrieval, prompt construction, and model inference.
• Experience with vector stores, search services, and knowledge repositories.
• Experience with prompt-management, model-routing, and orchestration patterns.
• Experience with secure integration of enterprise applications and mission data sources.

🎁 Benefits

Competitive salary, comprehensive benefits package, and opportunities for professional growth and development.

🛂 Visa & Eligibility

U.S. citizenship or permanent residency required for this position.