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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/Machine Learning Engineer SME - **Company:** I3, Llc - **Location:** Washington, DC, United States - **Salary:** $200,000.0 - $350,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Computer Vision, Automation of Tests, Microsoft Azure, Cloud Computing, Cloud Engineering, Continuous Integration, Information Engineering, Data Systems, Distributed Computing Environment, Distributed Systems, Python (Programming Language), Machine Learning, Natural Language Processing, Scrum Methodology, Tensorflow, Enterprise Data Management, Pytorch, Software Security, Deep Learning, Model Validation, Generative AI, Data Strategy, SC Clearance, Containerization, Kubernetes, Information Technology, Data Management, Machine Learning Operations, Software Coding, Devsecops - **Published:** August 1, 2026 - **Apply:** https://www.disabledperson.com/jobs/73944305-ai-machine-learning-engineer-sme ## About the Role * U.S. Citizenship. * Active Secret clearance w/ the ability to obtain and maintain a TS/SCI security clearance. * Bachelor's degree (Master's preferred) in Computer Science, Engineering, Applied Mathematics, Data Science, or related field. * Minimum 14 years of progressive experience in AI/ML, data engineering, or advanced analytics. * Demonstrated experience architecting and deploying enterprise AI/ML systems. * Deep proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow, JAX). * Experience leading technical teams, performing architecture trade studies, and guiding full ML lifecycle development. * Strong understanding of secure software engineering, distributed systems, DevSecOps, and containerization. * Excellent communication skills and ability to interface with senior government stakeholders. Preferred Qualifications * Experience supporting AI/ML projects in government, defense, or intelligence environments. * Familiarity with Intelligence Community mission needs and data types. * Exposure to cloud-native development (AWS, Azure, GovCloud). * Experience building or supporting NLP, computer-vision, generative-AI, or anomaly-detection models. * Knowledge of MLOps, CI/CD, container orchestration, or distributed training frameworks. ## Description Integration Innovation, Inc. (i3) is seeking a motivated SME level AI/Machine Learning Engineer to support the Defense Intelligence Agency (DIA) Enterprise Data Management & Analytics (EDMA) effort. As part of this dynamic program, you will architect enterprise-ready AI/ML solutions and serve as primary technical interface with government stakeholders. This role is ideal for experienced engineers who can champion responsible-AI and governance principles, ensuring approaches align with IC and DoD directives. The AI Team is distributed across multiple projects and could have potential for some hybrid work. Pay Range $200,000 - $350,000 The pay range for this position is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, geographic location, and any applicable laws Responsibilities * Architect enterprise-ready AI/ML solutions, including model-training pipelines, inference services, feature stores, data-ingestion pathways, and MLOps frameworks aligned to requirements. * Define the technical roadmap, breaking down complex mission needs into actionable architectures, workstreams, and implementation plans. * Lead multi-disciplinary engineering teams, providing direction on algorithms, model selection, data strategy, integration, and delivery cadence. * Oversee sprint planning and technical execution, ensuring deliverables are on time, blockers are removed, and engineering artifacts meet enterprise standards. * Serve as primary technical interface with government stakeholders, articulating architecture decisions, model behaviors, risk tradeoffs, and recommended solution pathways. * Establish and enforce best practices across ML engineering, DevSecOps, coding standards, test automation, and model life-cycle governance. * Conduct technical reviews and mentor engineers, elevating team capability and ensuring alignment with mission outcomes. * Guide evaluation and adoption of advanced ML tools, including deep-learning frameworks (PyTorch, TensorFlow, JAX), distributed compute, MLOps platforms, generative-AI modernization patterns, and enterprise scale data solutions. * Lead integration of AI capabilities into cloud-native or hybrid architectures, ensuring compliance with security, accreditation, and enterprise-data-management requirements. * Provide SME-level support for strategic planning, including solution briefs, architecture diagrams, CONOPS development, and decision-ready artifacts for government review panels. * Champion responsible-AI and governance principles, ensuring approaches align with IC and DoD directives. ## Related Videos - [Navigating the AI Revolution in Software Development](https://www.wearedevelopers.com/videos/1266-navigating-the-ai-revolution-in-software-development) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [DevSecOps: Injecting Security into Mobile CI/CD Pipelines](https://www.wearedevelopers.com/videos/273-devsecops-injecting-security-into-mobile-ci-cd-pipelines) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [Overview of Machine Learning in Python](https://www.wearedevelopers.com/videos/840-overview-of-machine-learning-in-python) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Got AI ideas but no money? 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