{"schemaVersion":"jobsearcher.job.v1","id":"24a06ae40e028ce24f7b7567","url":"https://jobsearcher.com/jobs/24a06ae40e028ce24f7b7567","canonicalUrl":"https://jobsearcher.com/jobs/24a06ae40e028ce24f7b7567","title":"AI Application Developer","description":"About Peraton\n\nPeraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees solve the most daunting challenges that our customers face. Visit peraton.com to learn how we’re keeping people around the world safe and secure.\n\nAbout The Role\n\nPeraton is seeking an AI Application Developer to design and build production-grade AI systems and lead the next evolution of software delivery across Government (Federal, State, and Local) programs by operationalizing AI at scale. This role is focused on embedding AI across the Software Development Life Cycle (SDLC) focused on LLM integration, agent-based systems, and AI-native software engineering, DevSecOps with AI —transforming how systems are built, tested, secured, and operated via AI driven development.\n\nYou will design and implement AI-orchestrated, agent-driven workflows leveraging cloud-native platforms and secure government AI environments (including GenAI.mil). The objective is to move beyond isolated AI use cases and deliver repeatable, governed, and measurable AI-enabled systems that accelerate delivery to scalable, mission-ready AI solutions. This is an engineer role for someone who understands that real impact comes from orchestrating models, data, and workflows into production-grade capabilities.\n\nLocation: Candidate must be local to the Columbus, Ohio area.\n\nWhat You’ll Do\n\nArchitect and implement AI-enabled solutions that accelerate code generation, testing, security, documentation, and deployment\nDesign and build LLM-powered applications and agentic systems for software development, testing, security, and operations\nDesign and operationalize agentic, multi-step workflows (e.g., code test validate deploy) with appropriate human-in-the-loop controls\nLeverage and integrate GenAI.mil models and commercial LLMs with cloud-native AI services into secure, scalable development environments\nBuild and integrate AI microservices and APIs into cloud-native platforms\nBuild future-state architecture and data pipelines that ground AI outputs in authoritative, mission-relevant data\nEstablish prompt frameworks, chaining strategies and reusable AI patterns that scale across teams and programs\nIntegrate AI into IT operations (ticket triage, root cause analysis, observability, incident response) to enable closed-loop automation\nDefine and track performance metrics (cycle time, defect reduction, cost-per-feature, SLA improvements) tied to AI adoption\nLead technical adoption across teams, mentoring engineers and standardizing best practices\nEnsure compliance with federal security, data governance, and AI usage policies\nImplement RAG architectures using mission data (codebases, documentation, operational data) to ground AI outputs\n\nCritical Skills: AI Orchestration & Systems Thinking\n\nLLM & Agentic Workflow Development\n\nDesign and implement multi-agent orchestration, tool integration and workflow automation with tool use, memory, and feedback loops\nBalance automation, control, and reliability in mission-critical environments\nPrompt engineering, prompt chaining, and reusable prompt architectures\nEvaluation frameworks for output quality, reliability, and drift\n\nData & Retrieval Strategy\n\nBuild and optimize RAG architectures and secure data access patterns\nStructure and govern data (codebases, runbooks, tickets, documentation) for effective AI consumption\nDesign, build and maintain Vector databases and semantic search\nEnsure data lineage, integrity, secure access patterns and classification compliance\n\nModel & Platform Orchestration\n\nOrchestrate across multiple models and endpoints, including GenAI.mil\nImplement routing, fallback, and optimization strategies based on latency, cost, and accuracy\nDesign for secure, compliant AI usage in federal environments\n\nPrompt Systems & Evaluation\n\nDevelop scalable prompt frameworks (templates, chaining, reuse)\nImplement evaluation pipelines to measure output quality, drift, and reliability\nEnsure outputs are traceable, testable, and auditable\n\nAI-Enabled DevSecOps, SDLC & AIOps\n\nEmbed AI into CI/CD, security scanning, testing, and documentation workflows\nApply AI to operations (incident response, anomaly detection, automated remediation)\nEnable closed-loop systems (detect decide act)\nAI-assisted SDLC development workflows and pipeline integration (code, test, security, documentation)\n\nObservability, Metrics & Governance\n\nDefine KPIs tied to AI-driven performance gains\nImplement monitoring for AI system behavior, cost, and outcomes\nAlign with DoD/DHA governance, security, and compliance frameworks\n\nWhat Success Looks Like\n\n20–40% improvements in in SDLC cycle time through AI-enabled workflows\nDeliver production-grade AI applications and agentic workflows deployed in secure environments\nImprove code quality, operational efficiency, and system resilience using AI\nStandardized, reusable AI orchestration patterns deployed across programs\nMeasurable improvements in SLA performance, cost efficiency, and mission delivery speed\nQualifications\n\nRequired Qualifications\n\nMinimum of 2+ years of experience with BA/BS; Preferable in software engineering, DevSecOps, platform engineering, or related field\nMinimum of 2+ years of hands-on experience building AI/LLM-based applications or workflows\nDemonstrated experience integrating AI/LLM-based capabilities into engineering or operational workflows\nExperience with LLM frameworks and orchestration tools (e.g., LangChain, LlamaIndex, AutoGen, CrewAI, or similar)\nStrong expertise in cloud-native architectures (AWS, Azure, or GCP)\nDeep understanding of CI/CD pipelines, DevSecOps practices, and modern SDLC frameworks\nStrong program skills in in Python and at least one additional language (Java, JavaScript, Go, etc.)\nExperience designing and deploying distributed systems, APIs, and microservices-based architectures\nU.S. Citizenship\nAbility to obtain Public Trust Clearance (potential to obtain Secret Clearance)\n\nPreferred Qualifications\n\nPreferred 2-5 years of hands on experience developing and maintaining AI Platforms\nDirect experience with GenAI.mil or other secure government AI platforms\nExpertise in agent frameworks, LLM orchestration, or emerging AI workflow tooling\nExperience with Kubernetes, containerized environments, and platform engineering\nFamiliarity with MLOps, AIOps, or AI governance frameworks\nExperience supporting DoD, DHA, or federal health systems (e.g., MHS GENESIS)\nExperience deploying AI solutions in IL4/IL5 or FedRAMP High environments\nActive TS/SCI clearance\nDetails\n\nTarget Salary Range: $86,000 - $138,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.\n\nBenefits Statement: Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.\n\nApplication Statements: The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. By applying to this job, you are expressing interest in the role and the Company. During the review of your application, you may be required to participate in an on-camera interview, as well as participate in a process to verify your identity.\n\nEEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.","company":"Peraton","rawCompany":"peraton","city":"Bellaire","state":"OH","isRemote":false,"isActive":false,"createdAt":"2026-08-19T16:15:24.160Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AI Application Developer","description":"About Peraton\n\nPeraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees solve the most daunting challenges that our customers face. Visit peraton.com to learn how we’re keeping people around the world safe and secure.\n\nAbout The Role\n\nPeraton is seeking an AI Application Developer to design and build production-grade AI systems and lead the next evolution of software delivery across Government (Federal, State, and Local) programs by operationalizing AI at scale. This role is focused on embedding AI across the Software Development Life Cycle (SDLC) focused on LLM integration, agent-based systems, and AI-native software engineering, DevSecOps with AI —transforming how systems are built, tested, secured, and operated via AI driven development.\n\nYou will design and implement AI-orchestrated, agent-driven workflows leveraging cloud-native platforms and secure government AI environments (including GenAI.mil). The objective is to move beyond isolated AI use cases and deliver repeatable, governed, and measurable AI-enabled systems that accelerate delivery to scalable, mission-ready AI solutions. This is an engineer role for someone who understands that real impact comes from orchestrating models, data, and workflows into production-grade capabilities.\n\nLocation: Candidate must be local to the Columbus, Ohio area.\n\nWhat You’ll Do\n\nArchitect and implement AI-enabled solutions that accelerate code generation, testing, security, documentation, and deployment\nDesign and build LLM-powered applications and agentic systems for software development, testing, security, and operations\nDesign and operationalize agentic, multi-step workflows (e.g., code test validate deploy) with appropriate human-in-the-loop controls\nLeverage and integrate GenAI.mil models and commercial LLMs with cloud-native AI services into secure, scalable development environments\nBuild and integrate AI microservices and APIs into cloud-native platforms\nBuild future-state architecture and data pipelines that ground AI outputs in authoritative, mission-relevant data\nEstablish prompt frameworks, chaining strategies and reusable AI patterns that scale across teams and programs\nIntegrate AI into IT operations (ticket triage, root cause analysis, observability, incident response) to enable closed-loop automation\nDefine and track performance metrics (cycle time, defect reduction, cost-per-feature, SLA improvements) tied to AI adoption\nLead technical adoption across teams, mentoring engineers and standardizing best practices\nEnsure compliance with federal security, data governance, and AI usage policies\nImplement RAG architectures using mission data (codebases, documentation, operational data) to ground AI outputs\n\nCritical Skills: AI Orchestration & Systems Thinking\n\nLLM & Agentic Workflow Development\n\nDesign and implement multi-agent orchestration, tool integration and workflow automation with tool use, memory, and feedback loops\nBalance automation, control, and reliability in mission-critical environments\nPrompt engineering, prompt chaining, and reusable prompt architectures\nEvaluation frameworks for output quality, reliability, and drift\n\nData & Retrieval Strategy\n\nBuild and optimize RAG architectures and secure data access patterns\nStructure and govern data (codebases, runbooks, tickets, documentation) for effective AI consumption\nDesign, build and maintain Vector databases and semantic search\nEnsure data lineage, integrity, secure access patterns and classification compliance\n\nModel & Platform Orchestration\n\nOrchestrate across multiple models and endpoints, including GenAI.mil\nImplement routing, fallback, and optimization strategies based on latency, cost, and accuracy\nDesign for secure, compliant AI usage in federal environments\n\nPrompt Systems & Evaluation\n\nDevelop scalable prompt frameworks (templates, chaining, reuse)\nImplement evaluation pipelines to measure output quality, drift, and reliability\nEnsure outputs are traceable, testable, and auditable\n\nAI-Enabled DevSecOps, SDLC & AIOps\n\nEmbed AI into CI/CD, security scanning, testing, and documentation workflows\nApply AI to operations (incident response, anomaly detection, automated remediation)\nEnable closed-loop systems (detect decide act)\nAI-assisted SDLC development workflows and pipeline integration (code, test, security, documentation)\n\nObservability, Metrics & Governance\n\nDefine KPIs tied to AI-driven performance gains\nImplement monitoring for AI system behavior, cost, and outcomes\nAlign with DoD/DHA governance, security, and compliance frameworks\n\nWhat Success Looks Like\n\n20–40% improvements in in SDLC cycle time through AI-enabled workflows\nDeliver production-grade AI applications and agentic workflows deployed in secure environments\nImprove code quality, operational efficiency, and system resilience using AI\nStandardized, reusable AI orchestration patterns deployed across programs\nMeasurable improvements in SLA performance, cost efficiency, and mission delivery speed\nQualifications\n\nRequired Qualifications\n\nMinimum of 2+ years of experience with BA/BS; Preferable in software engineering, DevSecOps, platform engineering, or related field\nMinimum of 2+ years of hands-on experience building AI/LLM-based applications or workflows\nDemonstrated experience integrating AI/LLM-based capabilities into engineering or operational workflows\nExperience with LLM frameworks and orchestration tools (e.g., LangChain, LlamaIndex, AutoGen, CrewAI, or similar)\nStrong expertise in cloud-native architectures (AWS, Azure, or GCP)\nDeep understanding of CI/CD pipelines, DevSecOps practices, and modern SDLC frameworks\nStrong program skills in in Python and at least one additional language (Java, JavaScript, Go, etc.)\nExperience designing and deploying distributed systems, APIs, and microservices-based architectures\nU.S. Citizenship\nAbility to obtain Public Trust Clearance (potential to obtain Secret Clearance)\n\nPreferred Qualifications\n\nPreferred 2-5 years of hands on experience developing and maintaining AI Platforms\nDirect experience with GenAI.mil or other secure government AI platforms\nExpertise in agent frameworks, LLM orchestration, or emerging AI workflow tooling\nExperience with Kubernetes, containerized environments, and platform engineering\nFamiliarity with MLOps, AIOps, or AI governance frameworks\nExperience supporting DoD, DHA, or federal health systems (e.g., MHS GENESIS)\nExperience deploying AI solutions in IL4/IL5 or FedRAMP High environments\nActive TS/SCI clearance\nDetails\n\nTarget Salary Range: $86,000 - $138,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.\n\nBenefits Statement: Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.\n\nApplication Statements: The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. By applying to this job, you are expressing interest in the role and the Company. During the review of your application, you may be required to participate in an on-camera interview, as well as participate in a process to verify your identity.\n\nEEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.","datePosted":"2026-08-19T16:15:24.160Z","dateModified":"2026-08-19T16:15:24.160Z","hiringOrganization":{"@type":"Organization","name":"Peraton","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bellaire","addressRegion":"OH","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"24a06ae40e028ce24f7b7567"},"url":"https://jobsearcher.com/jobs/24a06ae40e028ce24f7b7567"}}