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AI Engineering Lead
LeidosAI Engineering Lead advancing Leidos' mission-critical air traffic automation platform. Leading MLOps, AI governance, and AI-assisted engineering for aviation systems.
Posted 8/24/2026full-timeGaithersburg • Maryland, Minnesota, New Jersey • 🇺🇸 United StatesSenior💰 $131,300 - $237,350 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI/ML engineering leadership, MLOps pipeline design, and implementation, with a strong focus on model governance and AI-assisted development practices. Proven ability to mentor teams and drive intelligent automation initiatives within safety-critical environments.
Highest-signal resume keywords
AI/ML Engineering LeadershipMLOps Pipeline DesignPython ExpertiseCloud ML Services ExperienceAI Governance Implementation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
MLOps Pipeline DesignModel DeploymentPythonPyTorchTensorFlowLarge-Scale ML System DesignEngineering AutomationReal-Time InferenceKubernetes-Based ML Workload OrchestrationComputer Vision Application Development
Soft Skills
MentoringStrategic ManagementCollaboration
Tools & Technologies
AWS SageMakerAzure MLAI-Assisted Development ToolsProductivity Platforms
Certifications & Qualifications
Public Trust Eligibility
Industry Keywords
Aviation AI/ML ApplicationsResponsible AI PrinciplesAI GovernanceSafety-Critical SystemsCertification Requirements
Tech Stack
Tools & technologiesAWSAzureCloudKubernetesPythonPyTorchTensorflow
About the role
Key responsibilities & impact- Lead AI engineering strategy and roadmap development for the L-CAP program
- Design and implement MLOps pipelines for model development, training, and deployment
- Establish AI-augmented development practices across engineering teams
- Define model governance including versioning, monitoring, and lifecycle management
- Evaluate, pilot, and deploy AI development tools across the engineering organization
- Address safety considerations for AI applications in aviation-critical systems
- Drive intelligent automation initiatives to improve engineering productivity
- Integrate AI/ML capabilities with the L-CAP platform architecture
- Mentor engineering teams on AI/ML best practices and responsible AI principles
- Distinguish between engineering-productivity AI and operational ATC-service AI
- Define separate development practices, validation approaches, and certification considerations for engineering-productivity AI versus operational-mission AI
- Ensure alignment between requested AI skill sets and intended program objectives across engineering and operational domains
- Champion an AI-first engineering culture through AI-assisted development, automation, and emerging software engineering practices
Requirements
What you’ll need- Bachelor's degree with 8+ years of AI/ML engineering experience (Master's preferred)
- ML/AI engineering leadership including team and strategy management
- MLOps pipeline design and implementation at enterprise scale
- Strong Python expertise and ML framework proficiency (PyTorch, TensorFlow)
- Model deployment, monitoring, and lifecycle management
- Experience with AI-assisted development tools and productivity platforms
- Large-scale ML system design and distributed training
- Engineering automation and intelligent workflow design
- Cloud ML services experience (AWS SageMaker, Azure ML, or equivalent)
- Ability to obtain and maintain a Public Trust
- U.S. citizenship required
- Successful completion of background investigations as required by the government customer
- Aviation or safety-critical AI/ML application experience (preferred/desired)
- Responsible AI frameworks and governance implementation (preferred/desired)
- LLM integration and prompt engineering for enterprise applications (preferred/desired)
- Computer vision or NLP application development (preferred/desired)
- Real-time inference and low-latency ML serving (preferred/desired)
- Kubernetes-based ML workload orchestration (preferred/desired)
- AI governance and regulatory compliance frameworks (preferred/desired)
- Experience differentiating AI/ML development pipelines for internal tooling versus safety-critical operational systems (preferred/desired)
- Knowledge of certification requirements for AI systems in aviation or safety-critical operational environments (preferred/desired)
Benefits
Comp & perks- 🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Leidos Website LinkedIn All Job Openings 10,000+ employees Founded 1969 🏥 Healthcare 💼 Consulting 📦 Logistics Healthcare
- Consulting
- Logistics Leidos is a leading systems integrator in science, technology, and engineering, providing solutions that transform and enable the missions of its customers. The company operates across various markets, including aviation, defense, energy, government, healthcare, intelligence, science, and space. Leidos is involved in AI, digital modernization, cyber operations, and integrated and mission software systems. With a commitment to diversity, equity, inclusion, and sustainability, Leidos also engages in charitable efforts and community enrichment programs. Additionally, it contributes to developing solutions for counter-unmanned aerial systems and electric vehicle infrastructure for military applications. AI Engineering Lead 🔥 0 minutes ago 🏢🏡 Gaithersburg – Hybrid 💵 $131.3k - $237.3k / year ⏰ Full Time 🟠 Senior 🤖 AI Engineer 🦅 H1B Visa Sponsor 👻 Ghost score 0% AWS Azure Cloud Kubernetes Python PyTorch Tensorflow Apply Now Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
- Lead AI engineering strategy and roadmap development for the L-CAP program
- Design and implement MLOps pipelines for model development, training, and deployment
- Establish AI-augmented development practices across engineering teams
- Define model governance including versioning, monitoring, and lifecycle management
- Evaluate, pilot, and deploy AI development tools across the engineering organization
- Address safety considerations for AI applications in aviation-critical systems
- Drive intelligent automation initiatives to improve engineering productivity
- Integrate AI/ML capabilities with the L-CAP platform architecture
- Mentor engineering teams on AI/ML best practices and responsible AI principles
- Distinguish between engineering-productivity AI and operational ATC-service AI
- Define separate development practices, validation approaches, and certification considerations for engineering-productivity AI versus operational-mission AI
- Ensure alignment between requested AI skill sets and intended program objectives across engineering and operational domains
- Champion an AI-first engineering culture through AI-assisted development, automation, and emerging software engineering practices 🎯 Requirements
- Bachelor's degree with 8+ years of AI/ML engineering experience (Master's preferred)
- ML/AI engineering leadership including team and strategy management
- MLOps pipeline design and implementation at enterprise scale
- Strong Python expertise and ML framework proficiency (PyTorch, TensorFlow)
- Model deployment, monitoring, and lifecycle management
- Experience with AI-assisted development tools and productivity platforms
- Large-scale ML system design and distributed training
- Engineering automation and intelligent workflow design
- Cloud ML services experience (AWS SageMaker, Azure ML, or equivalent)
- Ability to obtain and maintain a Public Trust
- U.S. citizenship required
- Successful completion of background investigations as required by the government customer
- Aviation or safety-critical AI/ML application experience (preferred/desired)
- Responsible AI frameworks and governance implementation (preferred/desired)
- LLM integration and prompt engineering for enterprise applications (preferred/desired)
- Computer vision or NLP application development (preferred/desired)
- Real-time inference and low-latency ML serving (preferred/desired)
- Kubernetes-based ML workload orchestration (preferred/desired)
- AI governance and regulatory compliance frameworks (preferred/desired)
- Experience differentiating AI/ML development pipelines for internal tooling versus safety-critical operational systems (preferred/desired)
- Knowledge of certification requirements for AI systems in aviation or safety-critical operational environments (preferred/desired) 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 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 Remote jobs 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 About us Is Remote Rocketship legit? Privacy policy Terms of service Job board SEO course Remote Job Search MasterClass Resume Review AI Apply Copilot OpenClaw job finder API docs 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