{"schemaVersion":"jobsearcher.job.v1","id":"976837433dab2b5ba936fd80","url":"https://jobsearcher.com/jobs/976837433dab2b5ba936fd80","canonicalUrl":"https://jobsearcher.com/jobs/976837433dab2b5ba936fd80","title":"GENAI CCAS Application Developer","description":"Job Title: GEN AI CCAS Application Developer\nLocation: Washington, DC\nType: Contract To Hire\nCompensation: $56.23 - $62.00 per hour\nWork Model: Remote (Quarterly Travel to Gaithersburg, MD)\nHours: 40.0\nSecurity Clearance: Ability to obtain a Public Trust Clearance\nOverview\nThis is a cloud application development role focused on building and enhancing AI-powered contact center solutions using Amazon Connect, Amazon Lex, Amazon Bedrock, and AWS serverless technologies. The developer will create intelligent customer service experiences by integrating conversational AI, agent assist tools, analytics, and Retrieval-Augmented Generation (RAG) capabilities.\nResponsibilities\nBuild, update, and maintain Amazon Connect contact flows, routing profiles, and queues to support both voice and chat channels.\nIntegrate Lex V2 bots into Amazon Connect flows for call deflection, self-service transactions, and escalation.\nEnable and configure Contact Lens for real-time and post-contact analytics, transcription, summarization, sentiment analysis, and redaction.\nConfigure Amazon Q in Connect domains, knowledge sources, guided workflows, and step-by-step agent assist experiences.\nImplement S3-based call and chat transcript storage with encryption, lifecycle policies, and retention compliance.\nWrite AWS Lambda (Python) functions to orchestrate Bedrock LLM calls, embeddings workflows, and model invocation logging.\nImplement OpenSearch indexing, vector/keyword queries, and knowledge synchronization triggers.\nBuild retrieval-augmented generation (RAG) pipelines to enhance Amazon Connect agent assist and self-service knowledge.\nApply structured logging, unit/integration tests, error handling, and performance/cost safeguards.\nImplement AI guardrails, prompt templates, and output evaluation for safety and accuracy.\nEnforce PII minimization and redaction policies in Amazon Connect conversation logs.\nParticipate in threat modeling and support remediation of findings for contact center integrations.\nSupport CloudFront + WAF configurations for secure web chat entry points.\nBuild APIs and event hooks to pass conversation context between web chat, Amazon Connect, and AI services.\nContribute to Git-based CI/CD pipelines, document workflows, and maintain runbooks, architecture diagrams, and SOPs.\nCreate and monitor CloudWatch dashboards/alarms for call deflection rate, AHT, contact resolution, and AI usage metrics.\nRequirements\nBachelor’s degree in Computer Science, Engineering, or related field and 2–4 years of relevant experience; or a Master’s with 2+ years of software development with Python, including building and troubleshooting AWS Lambda functions.\nHands-on experience with Amazon Connect setup and configuration, including contact flows, routing profiles, queues, and channel integration (voice, chat).\nExperience integrating Lex V2 bots with Amazon Connect flows.\nFamiliarity with conversational AI design, including slot elicitation, error recovery, and safe fallback patterns.\nInfrastructure as Code experience (CloudFormation) and Git-based CI/CD workflows.\nFoundational security knowledge: least privilege IAM, encryption at rest (KMS), and secure logging/monitoring.\nStrong written and verbal communication; able to document designs and explain technical choices to teammates.\nPreferred Qualifications\nPractical exposure to full Amazon Connect deployments, including telephony setup, contact attributes, and queue performance optimization.\nExperience enabling and tuning Contact Lens for compliance, sentiment analysis, and post-contact QA scoring.\nExperience with Amazon Q in Connect for agent assist workflows and knowledge retrieval.\nExperience with Amazon Bedrock (LLM and embeddings) and guardrails; calling LLM APIs and prompt engineering.\nKnowledge of Retrieval Augmented Generation (RAG) and vector search; AWS OpenSearch Service configuration (VPC only, KMS) and k-NN/HNSW indices.\nFamiliarity with KMS key policies, grants, and cross-account access; S3 data protection (BPA, lifecycle, access points).\nExperience with AWS WAF, CloudFront, and edge security patterns.\nObservability and analytics skills: CloudWatch dashboards/alarms, X-Ray, Athena/Glue.\nUnderstanding of privacy and compliance considerations (PII redaction, data retention), and familiarity with FISMA and FedRAMP concepts as applied to contact centers.\nCertifications (any of): AWS Developer Associate, AWS Solutions Architect Associate/Professional, AWS AI Specialty, AWS DevOps Engineer, CISSP/CCSP.\nSystem One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.\nSystem One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.\n#M-M2\n#LI-HJA\n\nRef: #851-Rockville-S1","company":"Systemone","rawCompany":"systemone","city":"Washington","state":"DC","isRemote":false,"isActive":false,"createdAt":"2026-08-12T13:51:45.854Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1254.00","title":"Web Developers","slug":"web-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"GENAI CCAS Application Developer","description":"Job Title: GEN AI CCAS Application Developer\nLocation: Washington, DC\nType: Contract To Hire\nCompensation: $56.23 - $62.00 per hour\nWork Model: Remote (Quarterly Travel to Gaithersburg, MD)\nHours: 40.0\nSecurity Clearance: Ability to obtain a Public Trust Clearance\nOverview\nThis is a cloud application development role focused on building and enhancing AI-powered contact center solutions using Amazon Connect, Amazon Lex, Amazon Bedrock, and AWS serverless technologies. The developer will create intelligent customer service experiences by integrating conversational AI, agent assist tools, analytics, and Retrieval-Augmented Generation (RAG) capabilities.\nResponsibilities\nBuild, update, and maintain Amazon Connect contact flows, routing profiles, and queues to support both voice and chat channels.\nIntegrate Lex V2 bots into Amazon Connect flows for call deflection, self-service transactions, and escalation.\nEnable and configure Contact Lens for real-time and post-contact analytics, transcription, summarization, sentiment analysis, and redaction.\nConfigure Amazon Q in Connect domains, knowledge sources, guided workflows, and step-by-step agent assist experiences.\nImplement S3-based call and chat transcript storage with encryption, lifecycle policies, and retention compliance.\nWrite AWS Lambda (Python) functions to orchestrate Bedrock LLM calls, embeddings workflows, and model invocation logging.\nImplement OpenSearch indexing, vector/keyword queries, and knowledge synchronization triggers.\nBuild retrieval-augmented generation (RAG) pipelines to enhance Amazon Connect agent assist and self-service knowledge.\nApply structured logging, unit/integration tests, error handling, and performance/cost safeguards.\nImplement AI guardrails, prompt templates, and output evaluation for safety and accuracy.\nEnforce PII minimization and redaction policies in Amazon Connect conversation logs.\nParticipate in threat modeling and support remediation of findings for contact center integrations.\nSupport CloudFront + WAF configurations for secure web chat entry points.\nBuild APIs and event hooks to pass conversation context between web chat, Amazon Connect, and AI services.\nContribute to Git-based CI/CD pipelines, document workflows, and maintain runbooks, architecture diagrams, and SOPs.\nCreate and monitor CloudWatch dashboards/alarms for call deflection rate, AHT, contact resolution, and AI usage metrics.\nRequirements\nBachelor’s degree in Computer Science, Engineering, or related field and 2–4 years of relevant experience; or a Master’s with 2+ years of software development with Python, including building and troubleshooting AWS Lambda functions.\nHands-on experience with Amazon Connect setup and configuration, including contact flows, routing profiles, queues, and channel integration (voice, chat).\nExperience integrating Lex V2 bots with Amazon Connect flows.\nFamiliarity with conversational AI design, including slot elicitation, error recovery, and safe fallback patterns.\nInfrastructure as Code experience (CloudFormation) and Git-based CI/CD workflows.\nFoundational security knowledge: least privilege IAM, encryption at rest (KMS), and secure logging/monitoring.\nStrong written and verbal communication; able to document designs and explain technical choices to teammates.\nPreferred Qualifications\nPractical exposure to full Amazon Connect deployments, including telephony setup, contact attributes, and queue performance optimization.\nExperience enabling and tuning Contact Lens for compliance, sentiment analysis, and post-contact QA scoring.\nExperience with Amazon Q in Connect for agent assist workflows and knowledge retrieval.\nExperience with Amazon Bedrock (LLM and embeddings) and guardrails; calling LLM APIs and prompt engineering.\nKnowledge of Retrieval Augmented Generation (RAG) and vector search; AWS OpenSearch Service configuration (VPC only, KMS) and k-NN/HNSW indices.\nFamiliarity with KMS key policies, grants, and cross-account access; S3 data protection (BPA, lifecycle, access points).\nExperience with AWS WAF, CloudFront, and edge security patterns.\nObservability and analytics skills: CloudWatch dashboards/alarms, X-Ray, Athena/Glue.\nUnderstanding of privacy and compliance considerations (PII redaction, data retention), and familiarity with FISMA and FedRAMP concepts as applied to contact centers.\nCertifications (any of): AWS Developer Associate, AWS Solutions Architect Associate/Professional, AWS AI Specialty, AWS DevOps Engineer, CISSP/CCSP.\nSystem One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.\nSystem One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.\n#M-M2\n#LI-HJA\n\nRef: #851-Rockville-S1","datePosted":"2026-08-12T13:51:45.854Z","dateModified":"2026-08-12T13:51:45.854Z","hiringOrganization":{"@type":"Organization","name":"Systemone","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington","addressRegion":"DC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"976837433dab2b5ba936fd80"},"url":"https://jobsearcher.com/jobs/976837433dab2b5ba936fd80"}}