Lead AI/ML Engineer

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⛰️ Colorado – Remote

⛰️ Colorado – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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FTI - Frontier Technology Inc.

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1985

🔒 Cybersecurity

🤖 Artificial Intelligence

Defense • Cybersecurity • Artificial Intelligence

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 that combine traditional machine learning, deep learning, large language models (LLMs), and retrieval-augmented generation (RAG) pipelines. • Design and deploy scalable AI architectures including APIs, microservices, and model-serving frameworks that integrate seamlessly with analytic, simulation, or operational systems. • Lead the full AI/ML lifecycle — from data ingestion and feature engineering through training, deployment, and sustainment within secure DoD environments (IL5/IL6, ATO, GovCloud). • Engineer event-driven data pipelines and feature stores for both structured and unstructured data, including text, imagery, and simulation outputs. • Ensure Responsible AI practices by embedding traceability, explainability, and confidence scoring into deployed systems. • Implement and maintain MLOps pipelines (MLflow, Kubeflow, Airflow, Docker/Kubernetes) to support continuous integration, retraining, and drift detection. • Transition R&D prototypes into production, optimizing for mission constraints such as limited compute, edge environments, or disconnected operations. • Provide technical leadership and mentorship, setting standards for model quality, architectural design, and ethical AI deployment across programs. • Collaborate across engineering, data, and modeling teams to unify FTI’s AI portfolio, ensuring interoperability and reuse across mission systems. • Support proposal and solution development, providing technical inputs for AI/ML architectures, data strategies, and Responsible AI assurance frameworks.

🎯 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, with 5+ years designing and deploying scalable AI/ML architectures, including at least two full lifecycle implementations (from prototype to operational system). • Proficiency in Python, PyTorch, TensorFlow, and modern ML frameworks. • Experience designing or deploying systems using vector databases (Milvus, Pinecone, Weaviate), knowledge graphs, and semantic search frameworks. • 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, including bias detection, explainability, human-machine teaming, and hallucination prevention. • Experience integrating AI models into simulation, modeling, or operational planning systems is highly desirable. • Strong communication and mentoring skills, with the ability to lead technically while remaining deeply hands-on.

🏖️ Benefits

• Telecommute • Health benefits