AI/Machine Learning Engineer SME

SME-level AI/Machine Learning Engineer to architect enterprise-ready AI/ML solutions for the Defense Intelligence Agency (DIA) Enterprise Data Management & Analytics (EDMA) effort.

Responsibilities

• Architect enterprise-ready AI/ML solutions, covering model-training pipelines, inference services, feature stores, data-ingestion pathways, and MLOps frameworks aligned to requirements
• Define the technical roadmap by translating complex mission needs into actionable architectures, workstreams, and implementation plans
• Lead multi-disciplinary engineering teams, directing algorithms, model selection, data strategy, integration, and delivery cadence
• Oversee sprint planning and technical execution to keep deliverables on schedule, clear blockers, and ensure engineering artifacts meet enterprise standards
• Act as the primary technical interface with government stakeholders, explaining 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
• Run technical reviews and mentor engineers to raise team capability and maintain alignment to mission outcomes
• Guide evaluation and adoption of advanced ML tools and approaches, including PyTorch, TensorFlow, JAX, distributed compute, MLOps platforms, generative-AI modernization patterns, and enterprise-scale data solutions
• Integrate AI capabilities into cloud-native or hybrid architectures while meeting security, accreditation, and enterprise data management requirements
• Provide SME support for strategic planning, including solution briefs, architecture diagrams, CONOPS development, and decision-ready artifacts for government review panels
• Champion responsible-AI and governance aligned to IC and DoD directives

Requirements

• U.S. Citizenship
• Active Secret clearance with the ability to obtain and maintain TS/SCI
• Bachelor’s degree (Master’s preferred) in Computer Science, Engineering, Applied Mathematics, Data Science, or a 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, including PyTorch, TensorFlow, and JAX
• Experience leading technical teams, performing architecture trade studies, and guiding development across the full ML life cycle
• Strong understanding of secure software engineering, distributed systems, DevSecOps, and containerization
• Excellent communication skills and ability to interface with senior government stakeholders

Technologies

• Python
• PyTorch
• TensorFlow
• JAX
• MLOps
• DevSecOps

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

Location: Washington, DC (hybrid)

Salary: USD 200,000 - 350,000 per year

Company: Integration Innovation, Inc. (i3)