Distinguished AI/ML Engineering Lead

Job not on LinkedIn

🕒 June 12

⚔️ Virginia – Remote

⚔️ Virginia – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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FTI - Frontier Technology Inc.

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1985

💼 Consulting

📦 Logistics

🏭 Manufacturing

Consulting • Logistics • Manufacturing

FTI - Frontier Technology Inc. is a technology company that specializes in providing mission-tailored solutions and deep data expertise to support defense and intelligence operations. With advanced capabilities in data integration, analytics, modeling, and cyber resilience, FTI enables its clients, primarily within the Department of Defense and other federal agencies, to make informed decisions quickly and confidently. Their innovative approach leverages artificial intelligence and machine learning to process complex data environments, ensuring effective decision-making while maintaining the security of sensitive information.

📋 Description

• Architect and integrate hybrid AI systems. • Design and deploy scalable AI architectures. • Lead the full AI/ML lifecycle. • Engineer event-driven data pipelines and feature stores. • Ensure Responsible AI practices. • Implement and maintain MLOps pipelines. • Transition R&D prototypes into production. • Provide technical leadership and mentorship. • Collaborate across engineering, data, and modeling teams. • Support proposal and solution development.

🎯 Requirements

• Active Secret clearance required; TS/SCI strongly preferred. • Bachelor's degree in Computer Science, Engineering, or a related technical field (Master’s or Ph.D. preferred). • 10+ years of overall experience in AI/ML development. • 5+ years designing and deploying scalable AI/ML architectures. • Proficiency in Python, PyTorch, TensorFlow, and modern ML frameworks. • Experience designing or deploying systems using vector databases (Milvus, Pinecone, Weaviate). • Proven ability to design event-driven data pipelines using Databricks, Spark, Flink, or Kafka. • Demonstrated experience deploying AI/ML systems in secure, classified, or edge environments. • Familiarity with Responsible AI and assurance principles. • Experience integrating AI models into simulation, modeling, or operational planning systems is highly desirable.

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development opportunities