GenAI CCAS Application Developer

GenAI CCAS Application DeveloperLocation: Remote (Quarterly onsite meetings in Gaithersburg, MD)Security Clearance:** Public Trust (ability to obtain required)Employment Type:** 6+ Month Contract with strong potential for FTE conversion **Role Summary**Seeking an early-career GenAI CCAS Application Developer to build and enhance AI-powered applications supporting an AWS Contact Center as a Service (CCAS) platform for the FTC SNS program. This role focuses on software development using Amazon Connect, Amazon Lex V2, Amazon Q in Connect, Bedrock, OpenSearch, and AWS Lambda to create intelligent customer service solutions. The successful candidate will collaborate with senior developers, cloud engineers, and UI/UX designers to implement secure, scalable, and AI-driven applications that improve customer experience through intelligent automation. This is a remote position with quarterly travel to Gaithersburg, MD for onsite meetings. **Key Responsibilities** • Develop, configure, and maintain Amazon Connect contact flows, routing profiles, and queues for voice and chat channels• Integrate Amazon Lex V2 bots into Amazon Connect for self-service, call deflection, and escalation workflows• Configure and support Amazon Contact Lens for real-time and post-contact analytics, transcription, summarization, sentiment analysis, and PII redaction• Configure Amazon Q in Connect domains, knowledge sources, guided workflows, and agent assist capabilities• Implement encrypted S3 storage for call and chat transcripts, including lifecycle and retention policies• Develop AWS Lambda functions using Python to orchestrate Amazon Bedrock LLM calls, embeddings workflows, and model invocation logging• Build Retrieval-Augmented Generation (RAG) pipelines using Amazon Bedrock and OpenSearch• Configure OpenSearch indexing, vector and keyword search, and knowledge synchronization• Implement AI guardrails, prompt templates, output validation, and safety controls• Enforce PII minimization and redaction policies for conversation logs• Support CloudFront and AWS WAF configurations for secure web chat entry points• Develop APIs and event integrations between web chat, Amazon Connect, and AI services• Participate in Git-based CI/CD pipelines, code reviews, testing, and documentation• Create and maintain runbooks, SOPs, and architecture documentation• Monitor application performance using CloudWatch dashboards and alarms• Support operational metrics including call deflection, average handle time (AHT), contact resolution, and AI usage **Required Technical Skills** • Bachelor's degree in Computer Science, Engineering, or a related discipline (or equivalent experience/combined education)• 2–4 years of relevant software development experience (or Master's degree with applicable experience)• Minimum 2 years of Python development experience• Experience building and troubleshooting AWS Lambda functions• Hands-on experience with Amazon Connect, including contact flows, routing profiles, queues, and voice and chat channel integration• Experience integrating Amazon Lex V2 with Amazon Connect• Knowledge of conversational AI design, including slot elicitation, error recovery, and safe fallback patterns• Experience with CloudFormation Infrastructure as Code (IaC)• Experience with Git-based CI/CD pipelines• Understanding of IAM least privilege, AWS KMS encryption, and secure logging and monitoring• Strong written and verbal communication skills• U.S. Citizenship with the ability to obtain a Public Trust clearance **Preferred / Nice-to-Have Skills** • Experience with enterprise Amazon Connect deployments• Experience with Amazon Contact Lens• Experience with Amazon Q in Connect• Experience with Amazon Bedrock, LLM APIs, prompt engineering, and guardrails• Experience with Retrieval-Augmented Generation (RAG)• Experience with AWS OpenSearch, including vector search and k-NN/HNSW indexing• Knowledge of AWS KMS key policies, S3 security and lifecycle management, AWS WAF, and CloudFront• Experience with CloudWatch dashboards, X-Ray, Athena, and Glue• Familiarity with PII redaction, data retention policies, FISMA, and FedRAMP• AWS or security certifications, including AWS Developer Associate, AWS Solutions Architect Associate or Professional, AWS AI Specialty, AWS DevOps Engineer, CISSP, or CCSP **Qualifications & Experience** • Bachelor's degree in a related field or equivalent combination of education and experience• U.S. Citizen required• Ability to obtain and maintain a Public Trust clearance• Standard work schedule with no more than 40 hours per week• Strong opportunity for full-time employment based on performance after the initial contract period