Gen AI Application Developer

**GenAI Application Developer \- Clearable for PT \- 6 month CTH \- Remote w/ quarterly travel to Maryland** **Pay Rate $45\-48/hr W2** **Candidates for this program can typically start before the Public Trust is obtained. So they can start 2 weeks from offer acceptance. Conversion salary for this position is $104k.** Description: We have an opening for an early career GenAI Application Developer to build and enhance AI\-powered applications for an AWS Contact Center As a Service (CCAS) platform that uses Amazon Connect, Lex V2, Amazon Q in Connect, Contact Lens, Bedrock, OpenSearch, and Lambda (Python). This is a software development role focused on conversation flow design, Amazon Connect integrations, AI service orchestration, generative AI safety, and the creation of supporting APIs and data pipelines to improve customer experience through intelligent automation. You will work with senior developers, UI/UX designers, and cloud engineers to implement features that deflect customer contacts with voice/chat bots, optimize routing and flows, provide agents with real\-time AI assistance, and ensure privacy/compliance controls. This is an exciting opportunity to grow your development skills while delivering secure, reliable, and innovative solutions in a mission environment. Primary Responsibilities Amazon Connect application development and configuration: Build, update, and maintain Amazon Connect contact flows, routing profiles, and queues to support both voice and chat channels. Integrate Lex V2 bots into Amazon Connect flows for call deflection, self\-service transactions, and escalation. Enable and configure Contact Lens for real\-time and post\-contact analytics, transcription, summarization, sentiment analysis, and redaction. Configure Amazon Q in Connect domains, knowledge sources, guided workflows, and step\-by\-step agent assist experiences. Implement S3\-based call and chat transcript storage with encryption, lifecycle policies, and retention compliance. AI orchestration and backend services: Write AWS Lambda (Python) functions to orchestrate Bedrock LLM calls, embeddings workflows, and model invocation logging. Implement OpenSearch indexing, vector/keyword queries, and knowledge synchronization triggers. Build retrieval\-augmented generation (RAG) pipelines to enhance Amazon Connect agent assist and self\-service knowledge. Apply structured logging, unit/integration tests, error handling, and performance/cost safeguards. Data safety and compliance: Implement AI guardrails, prompt templates, and output evaluation for safety and accuracy. Enforce PII minimization and redaction policies in Amazon Connect conversation logs. Participate in threat modeling and support remediation of findings for contact center integrations. Web and chat integration: Support CloudFront \+ WAF configurations for secure web chat entry points. Build APIs and event hooks to