AI/ML Delivery Engineer

General Dynamics
United States
Workplace: RemoteFull timeUSD 153,000 - 207,000 annuallyFunction: Transportation & Fleet OperationsExperience: 5+ yearsEducation: bachelorsSkills: ["Executive communication","Written communication","Verbal communication","Mentoring","Cross-functional collaboration"]

Design, build, and scale enterprise AI/ML and generative AI solutions across the full lifecycle—from data integration and feature engineering through model development, evaluation, deployment, monitoring, and continuous optimization. Lead secure, governed architectures for cloud-native, distributed workloads and define MLOps/LLMOps practices for CI/CD, experiment tracking, model registry, testing, rollback, drift/quality monitoring, and cost optimization. Serve as AI technical authority and mentor teams while communicating executive-ready solution narratives.

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FursaFursa
General Dynamics
General Dynamics
2 days ago

AI/ML Delivery Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 18 hours agoStatus: Live

Job Summary

Design, build, and scale enterprise AI/ML and generative AI solutions across the full lifecycle—from data integration and feature engineering through model development, evaluation, deployment, monitoring, and continuous optimization. Lead secure, governed architectures for cloud-native, distributed workloads and define MLOps/LLMOps practices for CI/CD, experiment tracking, model registry, testing, rollback, drift/quality monitoring, and cost optimization. Serve as AI technical authority and mentor teams while communicating executive-ready solution narratives.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Transportation & Fleet Operations
Seniority: Mid level

Key Responsibilities

  • •Architect and deliver end-to-end AI/ML and generative AI solutions across the full lifecycle, including data integration, feature engineering, model development, evaluation, deployment, monitoring, and continuous improvement.
  • •Design scalable, secure, and governed AI/ML architectures for enterprise data management and cloud-native distributed, high-performance workloads.
  • •Develop and deploy production-ready AI solutions using modern techniques for large language models, intelligent search, workflow automation, model evaluation, monitoring, and optimization.
  • •Integrate AI capabilities with organizational data platforms, security controls, governance frameworks, and operational processes; design secure APIs, integration services, data pipelines, and orchestration workflows.
  • •Establish MLOps/LLMOps/ModelOps practices (CI/CD, experiment tracking, model registry, versioning, automated testing, deployment promotion/rollback, drift/quality monitoring, lineage, and cost optimization) and mentor engineers and data scientists.

Pay and Benefits

Salary: USD 153,000 - 207,000 annually
Perks:Health InsuranceDentalVision401kRemote WorkPaid LeaveParental Leave

Key Requirements

  • •Bachelors degree in Computer Science, Information Technology, Engineering, Mathematics/Statistics, Bioinformatics, Data Science, or equivalent professional experience.
  • •5+ years of related experience delivering and operating production AI/ML and generative AI solutions (including model serving, evaluation, monitoring, and continuous improvement).
  • •Hands-on experience with enterprise data platforms and cloud-native distributed data architectures, including batch and streaming pipelines and governance.
  • •Experience with modern ML/deep learning frameworks and tools for developing, training, evaluating, and deploying AI/ML solutions.
  • •Experience designing and managing AI/ML solutions in one or more major cloud environments, including IAM, networking, security, and infrastructure.
Experience:5+ yearsGovernmentHealthcareRegulated datasets
Education:Bachelor's
Skills:Executive communicationWritten communicationVerbal communicationMentoringCross-functional collaboration
Tech Stack:CI/CDMLOpsLLMOpsModelOpsModel registryPrompt/model versioningDrift monitoringPHI/PII handlingIAMAudit loggingAPIsData pipelinesOrchestration workflowsDistributed computingCloud-native servicesGPU workloadsCloud environments

Eligibility

Nationality:US Person
Security Clearance:NACLC (T3)Tier 3 Public Trust

Company Brief

General Dynamics
Provides IT, systems engineering, cybersecurity, cloud, and mission support services to U.S. federal civilian and defense agencies, delivering large-scale technology solutions and managed services for national security and government operations.
Industry: Defense Technology
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Headquarters: Tysons / Fairfax, United States
WebsiteLinkedIn