Distinguished AI/ML Engineer

FTI - Frontier Technology Inc.

Distinguished AI/ML Engineer at FTI Defense, leading the architecture of scalable AI systems. Responsible for end-to-end lifecycle from design to deployment in secure DoD environments.

Posted 7/2/2026full-timeRemote • Colorado • 🇺🇸 United StatesSeniorLead💰 $190,000 - $220,000 per yearWebsite

Tech Stack

Tools & technologies

AirflowDockerKafkaKubernetesMicroservicesPythonPyTorchSparkTensorflowTypeScript

About the role

Key responsibilities & impact

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

What you’ll need

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.
Experience transitioning R&D systems into accredited production environments.
Strong communication and mentoring skills, with the ability to lead technically while remaining deeply hands-on.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account FTI - Frontier Technology Inc. Website LinkedIn All 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. Distinguished AI/ML Engineer Job not on LinkedIn 🔥 8 minutes ago ⛰️ Colorado – Remote 💵 $190k - $220k / year ⏰ Full Time 🟠 Senior 🔴 Lead 🤖 AI Engineer Airflow Docker Kafka Kubernetes Microservices Python PyTorch Spark Tensorflow TypeScript Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 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.
Experience transitioning R&D systems into accredited production environments.
Strong communication and mentoring skills, with the ability to lead technically while remaining deeply hands-on. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs AI Engineer – ICAM 🔥 35 minutes ago General Dynamics Information Technology 10,000+ employees 🔒 Cybersecurity 🤖 Artificial Intelligence Website LinkedIn All Job Openings AI Engineer responsible for developing AI solutions for ICAM, enhancing operational efficiency and cybersecurity. Collaborating with engineers and stakeholders to improve identity analytics. 🇺🇸 United States – Remote 💵 $153k - $207k / year ⏰ Full Time 🟠 Senior 🔴 Lead 🤖 AI Engineer 🦅 H1B Visa Sponsor Cyber Security Python PyTorch Scikit-Learn Tensorflow Forward Deployed Engineer – Physical AI 🔥 3 hours ago Nebius Group 1001 - 5000 🏢 Enterprise ☁️ SaaS Website LinkedIn All Job Openings Forward Deployed Engineer focusing on Physical AI systems and workflows for strategic clients. Collaborating with internal teams to ensure successful implementation and model improvement in real-world applications. 🇺🇸 United States – Remote 💵 $169.9k - $254.9k / year ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 AI Engineer Distributed Systems Python PyTorch Software Engineer III, Voice AI 🔥 3 hours ago Natera 1001 - 5000 🧬 Biotechnology ⚕️ Healthcare Insurance 💊 Pharmaceuticals Website LinkedIn All Job Openings Software Engineer III designing and maintaining Voice AI platform for Natera's patient call center. Responsible for building real-time conversational AI systems improving patient access to genetic testing results. 🇺🇸 United States – Remote 💵 $105.7k - $132.1k / year ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 AI Engineer 🦅 H1B Visa Sponsor Apache AWS Azure Distributed Systems DynamoDB JavaScript Kafka MySQL Node.js NoSQL Redis SDLC TypeScript Senior Software Engineer, Voice AI 🔥 3 hours ago Natera 1001 - 5000 🧬 Biotechnology ⚕️ Healthcare Insurance 💊 Pharmaceuticals Website LinkedIn All Job Openings Senior Software Engineer developing voice AI systems managing automated patient calls at Natera. Working with telephony, speech-to-text, and conversational design in healthcare context. 🇺🇸 United States – Remote 💵 $125k - $156k / year ⏰ Full Time 🟠 Senior 🤖 AI Engineer 🦅 H1B Visa Sponsor Azure JavaScript Node.js TypeScript Senior Software Engineer, AI & Strategy 🔥 7 hours ago Toast 1001 - 5000 ☁️ SaaS 🤝 B2B Website LinkedIn All Job Openings Senior Software Engineer at Toast creating AI-driven tools to enhance sales processes. Hands-on role focusing on backend services and LLM integration. 🇺🇸 United States – Remote 💵 $159k - $254k / year ⏰ Full Time 🟠 Senior 🤖 AI Engineer 🦅 H1B Visa Sponsor Java Python Go View More AI Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Find jobs using your resume Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs

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Hard Skills & Tools

Machine LearningDeep LearningLarge Language ModelsRetrieval-Augmented GenerationFeature EngineeringModel-Serving FrameworksData IngestionAI Architecture DesignScalable AI SystemsResponsible AI Practices

Soft Skills

Technical LeadershipMentorshipStrong Communication

Certifications

Active Secret ClearanceTS/SCI Clearance Preferred