Distinguished AI/ML Engineering Lead
FTI - Frontier Technology Inc.
full-time
Posted on:
Location Type: Hybrid
Location: Washington D.C. • Washington • 🇺🇸 United States
Visit company websiteJob Level
Senior
Tech Stack
KafkaMicroservicesPythonPyTorchSparkTensorflowTypeScript
About the role
- 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
- Lead the full AI/ML lifecycle — from data ingestion and feature engineering through training, deployment, and sustainment within secure DoD environments
- Engineer event-driven data pipelines and feature stores for both structured and unstructured data
- Ensure Responsible AI practices by embedding traceability, explainability, and confidence scoring into deployed systems
- Implement and maintain MLOps pipelines to support continuous integration, retraining, and drift detection
- Transition R&D prototypes into production, optimizing for mission constraints
- Provide technical leadership and mentorship
- Collaborate across engineering, data, and modeling teams
Requirements
- 10+ years of overall experience in AI/ML development
- 5+ years designing and deploying scalable AI/ML architectures
- Bachelor’s degree in Computer Science, Engineering, or a related technical field (Master’s or Ph.D. preferred)
- 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
- Active Secret clearance required; TS/SCI strongly preferred
- Strong communication and mentoring skills
Benefits
- Telecommute
- Clearances for work in DoD environments
- Participation in exciting projects
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningdeep learninglarge language modelsretrieval-augmented generationdata ingestionfeature engineeringMLOpsevent-driven data pipelinesscalable AI architecturesmodel-serving frameworks
Soft skills
technical leadershipmentorshipcommunication
Certifications
Bachelor’s degreeMaster’s degreePh.D.Secret clearanceTS/SCI clearance