AI/ML Architect

General Dynamics Information Technology

. Drive multiple customer solution design projects in parallel .

Posted 9/23/2026full-timeRemote • United StatesMid-LevelSenior💰 $128,039 - $173,228 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying enterprise-level AI/ML solutions, with a strong focus on predictive analytics, NLP, and computer vision. Proficient in collaborating with Agile teams and integrating AI/ML designs into DevSecOps pipelines while ensuring model governance and responsible AI practices.

Highest-signal resume keywords

AI/ML Solution DesignTensorFlow ExpertiseAWS SageMaker ExperienceData Engineering KnowledgeCost-Benefit Analysis Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI/ML Solution DesignPredictive AnalyticsNatural Language ProcessingComputer VisionModel GovernanceFeature PipelinesTraining WorkflowsCI/CD Deployment PatternsDevSecOps IntegrationRisk Assessment

Soft Skills

CollaborationCommunicationLeadership

Tools & Technologies

TensorFlowPyTorchScikit-learnAWS SageMakerAzure MLGoogle Vertex AI

Industry Keywords

Data ScienceComputer ScienceEngineeringAI/ML ArchitecturesTotal Cost of Ownership

Tech Stack

Tools & technologies

AWSAzurePyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact

Drive multiple customer solution design projects in parallel
Conduct business and technical discovery with customers
Identify novel AI/ML solutions, architectures, and use cases aligned with customer objectives
Provide data-driven recommendations, dependencies, gaps, and risk assessments
Articulate high-level AI/ML solutions and connect them to program success criteria
Architect enterprise-level predictive analytics, NLP, computer vision, and generative AI solutions
Collaborate with Agile teams to integrate AI/ML designs with system architecture and DevSecOps pipelines
Lead customer AI/ML solution design projects from inception to quote
Identify and mitigate risks related to data, models, security, and operational performance

Requirements

What you’ll need

Bachelor’s degree in Data Science, Computer Science, Engineering, or a related technical field
Advanced degree preferred for complex AI model design
5 years of progressively responsible experience designing, developing, and deploying enterprise-level AI/ML solutions
Experience leading multiple parallel, complex customer AI/ML solution design projects from inception to quote
Track record of proposing and architecting novel AI/ML solutions, architectures, and use cases
Proficiency in cost-benefit analysis and Total Cost of Ownership (TCO) for AI/ML information systems
Expertise in TensorFlow, PyTorch, and Scikit-learn
Hands-on experience with AWS SageMaker, Azure ML, and Google Vertex AI
Understanding of model governance, explainability, monitoring, and responsible AI practices
Strong knowledge of data engineering, feature pipelines, and training workflows
Ability to design AI/ML deployment patterns within CI/CD and DevSecOps environments
Ability to pass a security background check
Less than 10% travel required
US citizenship is not required

Benefits

Comp & perks

Competitive pay
PTO
401(k) with company match
Comprehensive benefits and wellness programs
Full-flex work week
AI-powered tools to guide technical development and skill expansion
Internal mobility resources
Medical plan options, some with Health Savings Accounts
Dental plan options
Vision plan
Vacation, sick, and personal time
Paid holidays
Paid parental leave
Military leave
Bereavement leave
Jury duty leave
Up to 160 hours of paid family leave in a rolling 12-month period for eligible employees
Short- and long-term disability benefits
Life insurance
Accidental death and dismemberment insurance
Personal accident insurance
Critical illness insurance
Business travel and accident insurance