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HomeCompaniesCareers Fti Net Icims ComAI/ML Software Engineer

AI/ML Software Engineer

Careers Fti Net Icims Com · Huntsville, AL, US · Remote · Active · iCIMS

Job facts

FieldValue
CompanyCareers Fti Net Icims Com
TitleAI/ML Software Engineer
Normalized title-
Department / teamEngineering
LocationHuntsville, AL, United States
Work modelRemote / Remote
Employment typeFull Time
Salary-
Statusactive
ATS provideriCIMS
Posted / first seen2024-06-18 / 2026-06-11
Changed / last seen2026-06-18 / 2026-06-18

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PageWhat it containsOpen
Company jobsActive postings from Careers Fti Net Icims Com.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through iCIMS.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Huntsville.Open
Department jobsActive postings in Engineering.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyCareers Fti Net Icims Com
Source65462ee8-e9bb-4590-9aab-b55448b5a8ae
ATS provideriCIMS

Description

Overview FTI Defense is seeking an AI/ML Software Engineer to design, build, and deploy secure, scalable software and data systems that support mission operations, analytics, and simulation environments. This role is for a hands-on engineer and someone who loves writing code, building systems end-to-end, and solving real-world technical challenges in secure, distributed environments. FTI Defense delivers mission-focused solutions to the Department of Defense (DoD/DoW) and Intelligence Community (IC) through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges by integrating people, process, and technology. Responsibilities Software Design & Development Design and implement APIs, data pipelines, and simulation runtime logic that connect and enable mission applications. Develop software using modern programming languages such as Java, Python, C++, or TypeScript/Angular. Write clean, testable, and maintainable code following secure coding and software engineering best practices. Build and integrate modular microservices to improve scalability, maintainability, and interoperability. Cloud & Containerized Environments Build and deploy containerized, cloud-native services using Docker, Kubernetes, and CI/CD pipelines (GitLab, Jenkins, or equivalent). Implement Infrastructure-as-Code and automation scripts to accelerate deployment and configuration management. Contribute to secure deployments across hybrid or disconnected environments (IL4–IL6, AWS GovCloud, or on-prem). Systems Integration & Distributed Computing Develop distributed systems and data integration frameworks using message buses such as Kafka or Redis. Engineer data flow between analytic, AI, and simulation components to support real-time mission use cases. Collaborate with system engineers and architects to ensure interoperability across software ecosystems. Data & Analytics Integration Build and manage databases (PostgreSQL, MongoDB, graph DBs) and model complex data relationships. Develop data services that feed analytics pipelines or integrate AI/ML outputs into runtime systems. Work with serialization and exchange formats such as JSON, Protobuf, GeoJSON, or KML. Security, Testing & Sustainment Write, test, and deploy software within secure or classified environments. Automate testing and monitoring to ensure performance, reliability, and repeatable deployments. Support the transition of prototypes to operational systems, focusing on maintainability and observability. Education/Qualifications Minimum Requirements: Must be a U.S. citizen and be willing to obtain and maintain a security clearance, as needed. 6-10+ years of professional software engineering experience. 3+ years of professional experience with DevSecOps, Zero-Trust, or ATO/RMF processes in Department of Defense (DoD/DoW) environments. Strong full-stack or systems engineering background. Proficiency in one or more of the following languages: Java, Python, C++, or TypeScript/Angular. Experience building containerized, cloud-native solutions using Docker, Kubernetes, and CI/CD pipelines. Complete understanding of distributed systems and message buses (Kafka, Redis, etc.). Experience developing or integrating analytics and AI models into production systems. Preferred Qualifications: Experience deploying code in IL4–IL6 or edge/disconnected environments. Familiarity with databases such as PostgreSQL, MongoDB, or graph databases. Knowledge of Infrastructure-as-Code (Terraform, CloudFormation, or CDK). Bachelor’s degree in Computer Science, Software Engineering, or a related technical field. Active Secret clearance preferred; ability to obtain one is required . #LI-KM1 #LI-Remote

Full job record

Job ID1f6fff67f28d0b69d1782b3f20fad67089e6202e
Org IDbbfaa754-9b53-4616-974d-f762b0addfa5
Source ID65462ee8-e9bb-4590-9aab-b55448b5a8ae
Board ID65462ee8-e9bb-4590-9aab-b55448b5a8ae
Providericims
Provider Job Key7043
TitleAI/ML Software Engineer
Normalized Title
Statusactive
Activeyes
Location TextHuntsville, AL, US
DepartmentEngineering
Team
Employment Typefull_time
Workplace Typeremote
Remote Policyremote
CountryUnited States
RegionAL
CityHuntsville
Salary RawOverview FTI Defense is seeking an AI/ML Software Engineer to design, build, and deploy secure, scalable software and data systems that support mission operations, analytics, and simulation environments. This role is for a hands-on engineer and someone who loves writing code, building systems end-to-end, and solving real-world technical challenges in secure, distributed environments. FTI Defense delivers mission-focused solutions to the Department of Defense (DoD/DoW) and Intelligence Community (IC) through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges by integrating people, process, and technology. Responsibilities Software Design & Development Design and implement APIs, data pipelines, and simulation runtime logic that connect and enable mission applications. Develop software using modern programming languages such as Java, Python, C++, or TypeScript/Angular. Write clean, testable, and maintainable code following secure coding and software engineering best practices. Build and integrate modular microservices to improve scalability, maintainability, and interoperability. Cloud & Containerized Environments Build and deploy containerized, cloud-native services using Docker, Kubernetes, and CI/CD pipelines (GitLab, Jenkins, or equivalent). Implement Infrastructure-as-Code and automation scripts to accelerate deployment and configuration management. Contribute to secure deployments across hybrid or disconnected environments (IL4–IL6, AWS GovCloud, or on-prem). Systems Integration & Distributed Computing Develop distributed systems and data integration frameworks using message buses such as Kafka or Redis. Engineer data flow between analytic, AI, and simulation components to support real-time mission use cases. Collaborate with system engineers and architects to ensure interoperability across software ecosystems. Data & Analytics Integration Build and manage databases (PostgreSQL, MongoDB, graph DBs) and model complex data relationships. Develop data services that feed analytics pipelines or integrate AI/ML outputs into runtime systems. Work with serialization and exchange formats such as JSON, Protobuf, GeoJSON, or KML. Security, Testing & Sustainment Write, test, and deploy software within secure or classified environments. Automate testing and monitoring to ensure performance, reliability, and repeatable deployments. Support the transition of prototypes to operational systems, focusing on maintainability and observability. Education/Qualifications Minimum Requirements: Must be a U.S. citizen and be willing to obtain and maintain a security clearance, as needed. 6-10+ years of professional software engineering experience. 3+ years of professional experience with DevSecOps, Zero-Trust, or ATO/RMF processes in Department of Defense (DoD/DoW) environments. Strong full-stack or systems engineering background. Proficiency in one or more of the following languages: Java, Python, C++, or TypeScript/Angular. Experience building containerized, cloud-native solutions using Docker, Kubernetes, and CI/CD pipelines. Complete understanding of distributed systems and message buses (Kafka, Redis, etc.). Experience developing or integrating analytics and AI models into production systems. Preferred Qualifications: Experience deploying code in IL4–IL6 or edge/disconnected environments. Familiarity with databases such as PostgreSQL, MongoDB, or graph databases. Knowledge of Infrastructure-as-Code (Terraform, CloudFormation, or CDK). Bachelor’s degree in Computer Science, Software Engineering, or a related technical field. Active Secret clearance preferred; ability to obtain one is required . #LI-KM1 #LI-Remote
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://careers-ftidefense.icims.com/jobs/7043/ai-ml-software-engineer/job
Apply URLhttps://careers-ftidefense.icims.com/jobs/7043/ai-ml-software-engineer/job
First Seen At2026-06-11 08:26:39Z
Last Seen At2026-06-18 08:26:20Z
Last Checked At2026-06-18 08:26:20Z
Last Changed At2026-06-18 08:26:20Z
Inactive At
Source Posted At2024-06-18 08:26:20Z
Source Updated At2026-06-10 17:32:33Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=icims/board=careers-fti-net.icims.com/date=2026-06-18/2026-06-18T08-26-19-393Z-39ca59f1178ef87cf401e295078f8bf09137761b883ca3ab254e412cf975b8b5.json
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Extensions
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