About this role
Senior AI Systems Engineer at Northrop Grumman builds AI infrastructure, data pipelines, and deployment tooling for scalable AI systems in hybrid cloud/on-prem environments.
Key Responsibilities
- Architect and implement end-to-end AI pipelines
- Develop self-service APIs and CLI tools
- Build internal SDKs/CLI tools for deployment and monitoring
- Research embedding models and vector search
- Prototype new technologies and assess adoption
Technical Overview
Data ingestion pipelines, model training/validation/serving, vectorization, SDK/CLI tooling, vector search, embedding models, cloud/hardware cost analyses, cybersecurity for AI systems
Ideal Candidate
The ideal candidate is a senior AI systems engineer with 8+ years of experience in AI/ML and MLOps, strong cloud experience (AWS or Azure), and hands-on ability to deploy AI models at scale using Python/Java and CI/CD pipelines.
Must-Have Skills
Bachelor's degree in Computer ScienceSoftware EngineeringInformation Systems or a related field8+ years of relevant experience with a Bachelor's degree3+ years of experience focused on AI or MLOps2+ years working with cloud (AWS or Azure) infrastructure and servicesExperience with PythonJavaPowerShell/Bash and AI/ML frameworksBasic knowledge of SQL/NoSQL and distributed computingExperience evaluating cybersecurity for AI systemsDemonstrable knowledge of matching hardware to AI system requirementsExceptional verbal and written communication
Nice-to-Have Skills
Experience with cloud native AI services (SageMakerEKSMLAKSetc.)Load testing and infrastructure planningHands-on experience building AI systemsDevOps practices and CI/CDAWS Associate or higherAzure Associate or higherActive DoD Secret clearance or higher
Tools & Platforms
Amazon Web ServicesMicrosoft AzureKubernetesDocker
Required Skills
Bachelor's degree in Computer Science or related field8+ years of relevant experience3+ years AI/MLOps2+ years cloud experience (AWS or Azure)Python/Java/Powershell-BashAI/ML frameworksSQL/NoSQLcybersecurity for AI systemshardware matching for AI systems
Hard Skills
PythonJavaPowershell/BashAmazon Web ServicesAzureSQL / PostgreSQLNoSQLKubernetesDockerDevOpsCI/CDDistributed computing systemsAI/ML frameworks
Soft Skills
Excellent verbal and written communicationAbility to convey complex technical concepts to non-technical stakeholdersCollaborative teamworkProblem solvingStrategic thinking
Certifications
Preferred
AWS Associate Level Certificate or higherAzure Associate Level Certificate or higher
Keywords for Your Resume
AI Systems EngineerLevel 4Northrop GrummanAI Infrastructure Engineeringdata ingestionmodel trainingvectorizationindex resourcesSDKsCLI toolsvector searchembedding modelscloud providersonpremhybridAWSAzurePythonJavaPowershell/BashSQLNoSQLDevOpsCI/CDsecurityAI/MLMLOpsPowershellBash
Deal Breakers
No cloud experience (AWS or Azure)
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