AI Software Engineer – TS/SCI

Maxar Technologies

. Integrate AI chatbots and assistants into existing geospatial, analytics, visualization, and mission applications .

Posted 11/3/2026full-timeUnited StatesSeniorLead💰 $140,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in integrating AI chatbots and assistants into geospatial and analytics applications, with strong capabilities in developing backend services and frontend components. Proficient in implementing secure data access policies and evaluating AI quality and safety in production environments.

Highest-signal resume keywords

Active TS/SCI ClearancePython ProgrammingAI Integration ExperienceREST API DevelopmentKubernetes Deployment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringGenerative AI IntegrationData Protection ControlsAutomated TestingAgile Development PracticesMicroservices ArchitectureFunction CallingVector SearchPrompt OrchestrationNatural-Language Workflows

Soft Skills

CollaborationCommunication

Tools & Technologies

KubernetesRed Hat OpenShiftGitElasticsearchAI Orchestration FrameworksKnowledge GraphsGISData CatalogsDashboardsNotebooks

Certifications & Qualifications

Bachelor's Degree in Computer ScienceActive U.S. Government Security Clearance

Industry Keywords

Geospatial ApplicationsAI Safety ControlsData DiscoveryVisualization GenerationAudit RecordsIdentity and EntitlementsProduction ApplicationsCI PolygraphAgent WorkflowsMission Applications

Tech Stack

Tools & technologies

ElasticSearchJavaJavaScriptKubernetesMicroservicesOpenShiftPythonReactTypeScriptC++Go

About the role

Key responsibilities & impact

Integrate AI chatbots and assistants into existing geospatial, analytics, visualization, and mission applications
Build natural-language workflows for data discovery, application navigation, visualization generation, and approved actions
Implement prompt orchestration, retrieval-augmented generation, tool calling, and conversation context
Connect AI services to REST APIs, data catalogs, search platforms, knowledge graphs, geospatial services, notebooks, and dashboards
Develop reusable backend services and frontend components for analyst-facing AI assistance
Enforce identity, entitlements, and data-access policies
Provide citations, provenance, audit records, and clear system limitations
Test and evaluate AI quality, safety, latency, and usability
Protect against prompt injection, data leakage, and unauthorized actions
Deploy and operate AI services in Kubernetes and Red Hat OpenShift, including restricted or disconnected environments
Collaborate with technical and customer teams

Requirements

What you’ll need

U.S. Citizen
Active TS/SCI clearance, with willingness to obtain a CI poly
Bachelor's degree in computer science, software engineering, data science, artificial intelligence, or a related field
8+ years of professional software engineering experience delivering production applications or services
Hands-on experience integrating generative AI or LLMs into production software applications using RAG, embeddings, vector search, function calling, or agent workflows
Strong Python skills and experience with JavaScript, TypeScript, Java, Go, C++, or another modern language
Experience building REST APIs or microservices
Experience using Git, automated testing, CI/CD, and Agile development practices
Experience integrating enterprise data sources and applying secure identity, authorization, and data-protection controls
Active U.S. Government security clearance at the TS/SCI level
Preferred: experience with React, TypeScript, AI orchestration frameworks, model gateways, MCP-compatible services, locally hosted LLMs, vector search, Elasticsearch, knowledge graphs, GIS, imagery, geospatial applications, AI safety controls, Kubernetes, and Red Hat OpenShift

Benefits

Comp & perks

Robust 401(k) with company match
Mental health resources
Student loan repayment assistance
Adoption reimbursement
Pet insurance
Competitive total rewards package