Senior AI Software Engineer – TS/SCI

Maxar Technologies

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

Posted 9/17/2026full-timeHerndon • Colorado • United StatesSenior💰 $145,000 - $205,000 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 deploying AI services in Kubernetes and Red Hat OpenShift environments.

Highest-signal resume keywords

Generative AI IntegrationPython ProgrammingREST API DevelopmentKubernetes DeploymentTS/SCI Clearance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringData ScienceAI OrchestrationMicroservicesAutomated TestingAgile DevelopmentVector SearchFunction CallingPrompt OrchestrationData Protection

Soft Skills

CollaborationProblem-Solving

Tools & Technologies

GitCI/CDElasticsearchReactTypeScriptJavaScriptJavaGoC++Kubernetes

Certifications & Qualifications

Active TS/SCI ClearanceCI Polygraph

Industry Keywords

Geospatial ApplicationsAI Safety ControlsKnowledge GraphsData Access PoliciesMission 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

Bachelor’s degree in computer science, software engineering, artificial intelligence, data science, or a related field, or equivalent experience
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 with Git, automated testing, CI/CD, and Agile development practices
Experience integrating enterprise data sources and applying secure identity, authorization, and data-protection controls
Willingness to work 75% or as needed in a SCIF environment in Herndon, VA; Denver, CO; or St. Louis, MO
U.S. Person with an active TS/SCI with CI poly, or the ability to obtain the required clearance and polygraph
Preferred: experience with React, TypeScript, AI orchestration frameworks, model gateways, MCP-compatible services, agent-to-tool integration, LLM deployment, vector search, Elasticsearch, knowledge graphs, GIS, imagery, geospatial applications, AI safety controls, model monitoring, GPU workloads, model serving, containers, Kubernetes, and Red Hat OpenShift

Benefits

Comp & perks

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