Distinguished AI/ML Engineering Lead

Responsibilities

• 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.