AI Engineer 4 – MLX, Agentic AI, Gen AI platform Services
Capital One
Posted: 10/20/2026AWSCloudDistributed SystemsJavaOpen SourcePythonPyTorchScalaC+++1 more
Software Engineer 5 – Model Development and Management, AI Platform
Netflix
Posted: 10/20/2026AirflowAWSJavaPythonScalaC++
Staff Applied AI Engineer
Collectors
Posted: 10/20/2026
Senior Applied AI Engineer
Drata
Posted: 10/20/2026Python
Transformation Lead, AI & Automation
HP France
Posted: 10/20/2026ETLPythonSQLTableau
Applied AI Engineer
Unify
Posted: 10/20/2026PythonTypeScript
Business Development Lead, AI
Monad Foundation
Posted: 10/20/2026
Agentic AI Engineer
Booz Allen Hamilton
Posted: 10/20/2026AWSAzureCloudDockerGrafanaKubernetesNeo4jReact
Principal AI Engineer
Hewlett Packard Enterprise
Posted: 10/20/2026CloudJavaPythonPyTorchTensorflowC++
Transformation Lead, AI & Automation
HP
Posted: 10/20/2026ETLPythonSQLTableau
Staff Software Engineer, AI Evals
G2i Inc.
Posted: 10/20/2026JavaScriptPythonRustTypeScriptGo
Senior/Staff Full-Stack AI Engineer
Suno
Posted: 10/20/2026PythonReactTypeScript
Product Lead, AI
Mysten Labs
Posted: 10/20/2026
Senior AI Developer – Agent Builder, AI Focus
Simple Software Solutions Group, Inc
Posted: 10/20/2026
Principal Embedded Firmware Engineer – AI/HPC Networking Silicon
Cornelis Networks
Posted: 10/20/2026FlashPythonC++
Senior AI Engineer
Johnson Controls
Posted: 10/20/2026AssemblyCloudCyber SecurityERPPythonScikit-LearnSQL
Principal AI Engineer
Hewlett Packard Enterprise
Posted: 10/20/2026CloudJavaPythonPyTorchScikit-LearnTensorflowC++
Principal AI Engineer
Hewlett Packard Enterprise
Posted: 10/20/2026CloudJavaPythonPyTorchScikit-LearnTensorflowC++
AI Engineer 5, MLX, Agentic AI, Gen AI platform Services
Capital One
Posted: 10/20/2026AWSCloudJavaOpen SourcePythonPyTorchScalaC++Go
AI Engineer
DirectSupply
Posted: 10/20/2026AWSCloudDockerPostgresPythonTerraformTypeScript
AI Engineer 4 – MLX, Agentic AI, Gen AI platform Services
Capital OneCore Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and deploying AI systems, with a strong focus on optimizing performance, scalability, and ethical governance. Proficient in leveraging cloud platforms and open-source technologies to deliver innovative AI solutions.
Highest-signal resume keywords
AI System DevelopmentPython ProgrammingCloud Platform DeploymentModel Governance ProcessesDistributed Systems Design
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products
- Design, develop, test, deploy, and support AI software components, including foundation model training, LLM inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability
- Leverage Open Source and SaaS AI technologies such as AWS Ultraclusters, Hugging Face, VectorDBs, and PyTorch
- Invent and introduce foundation model optimization techniques to improve scalability, cost, latency, and throughput
- Contribute to the technical vision and long-term roadmap of foundational AI systems
- Own end-to-end architecture for complex AI systems, ensuring maintainability, observability, and ethical alignment
- Define and maintain SLOs for AI reliability, including latency, uptime, and model performance drift
- Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines
- Lead technical reviews for AI system deployments, ensuring security, data governance, and compliance standards
- Mentor Principal and Senior Associates on scalable design, performance tuning, and research-to-production translation
Requirements
What you’ll need- Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies; or Master's degree in those fields plus at least 2 years of experience
- At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java
- Experience leading development of AI systems with tradeoff decisions around cost, latency, throughput, and accuracy
- 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms
- Experience designing, developing, delivering, and supporting AI services
- Experience developing AI and ML algorithms or technologies using Python, C++, C#, Java, CUDA, or Golang
- Experience optimizing training and inference software for hardware utilization, latency, throughput, and cost
- Experience building agentic AI systems and workflows
- Proficiency designing distributed systems for model training, evaluation, and online inference at petabyte scale
- Experience defining AI model governance processes, lineage tracking, and automated retraining schedules
- Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position
Benefits
Comp & perks- Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
- Comprehensive, competitive, and inclusive health, financial and other benefits supporting total well-being
- Reasonable accommodations for applicants with disabilities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI AlgorithmsMachine Learning TechnologiesFoundation Model TrainingModel EvaluationPerformance TuningScalable AI SolutionsAgentic AI SystemsInference OptimizationSLO DefinitionData Governance
Soft Skills
MentoringCollaborationTechnical Leadership
Tools & Technologies
AWS UltraclustersHugging FaceVectorDBsPyTorchGPU UtilizationTPU Utilization
Industry Keywords
AI EthicsObservabilityLatencyThroughputCost OptimizationModel Performance Drift