<p>We are seeking an early‑career GenAI Application Developer to design, build, and enhance AI‑powered applications for an AWS‑based Contact Center as a Service (CCAS) platform. This role focuses on conversational AI, intelligent automation, and generative AI–driven customer and agent experiences using services such as Amazon Connect, Lex V2, Amazon Q in Connect, Contact Lens, Bedrock, OpenSearch, and AWS Lambda (Python).</p><p><br></p><p>You will work closely with senior engineers, UI/UX designers, and cloud teams to implement voice and chat automation, agent assist features, secure AI orchestration, and supporting APIs and data pipelines—all within a security‑ and compliance‑focused environment.</p><p>This is an excellent opportunity to grow as a software developer while contributing to impactful, production‑grade AI solutions.</p><p><br></p><p>Primary Responsibilities</p><p>Amazon Connect Application Development</p><ul><li>Design, build, and maintain Amazon Connect contact flows, routing profiles, and queues for voice and chat</li><li>Integrate Amazon Lex V2 bots for call deflection, self‑service workflows, and escalation</li><li>Configure Contact Lens for transcription, summarization, sentiment analysis, QA insights, and redaction</li><li>Configure Amazon Q in Connect domains, knowledge sources, guided workflows, and agent assist capabilities</li><li>Implement secure S3‑based transcript storage with encryption, lifecycle policies, and retention controls</li></ul><p>eAI Orchestration &amp; Backend Services</p><ul><li>Develop AWS Lambda (Python) functions to orchestrate:</li><li>Amazon Bedrock LLM calls</li><li>Embeddings workflows</li><li>Model invocation logging and observability</li><li>Implement OpenSearch indexing, keyword/vector queries, and ingestion triggers</li><li>Build Retrieval‑Augmented Generation (RAG) pipelines to support agent assist and self‑service knowledge</li><li>Apply structured logging, testing, error handling, and performance/cost safeguards</li></ul><p> Data Safety, Security &amp; Compliance</p><ul><li>Implement AI guardrails, prompt templates, and output evaluation mechanisms</li><li>Enforce PII redaction and minimization across conversation logs</li><li>Participate in threat modeling and remediation for contact center integrations</li></ul><p>Web, Chat &amp; Integration Support</p><ul><li>Support CloudFront + WAF configurations for secure web chat entry points</li><li>Build APIs and event hooks to pass context between web chat, Amazon Connect, and AI services</li></ul><p>DevSecOps &amp; Operations</p><ul><li>Contribute to Git‑based CI/CD pipelines, code reviews, and documentation</li><li>Maintain runbooks, SOPs, and architecture diagrams</li><li>Create and monitor CloudWatch dashboards and alarms for:</li><li>Call deflection rate</li><li>Average Handle Time (AHT)</li><li>Contact resolution</li><li>AI usage metrics</li></ul>

<p>Basic Qualifications</p><ul><li>Bachelor’s degree in Computer Science, Engineering, or related field with 2–4 years of experience, OR a Master’s degree</li><li>2+ years of software development experience with Python, including AWS Lambda</li><li>Hands‑on experience configuring Amazon Connect (contact flows, routing, queues, voice/chat)</li><li>Experience integrating Amazon Lex V2 with Connect flows</li><li>Familiarity with conversational AI design (slot filling, error handling, fallback patterns)</li><li>Infrastructure as Code experience (CloudFormation)</li><li>Git‑based CI/CD workflows</li><li>Foundational AWS security knowledge (IAM least privilege, KMS encryption, logging/monitoring)</li><li>Strong written and verbal communication skills</li><li>Ability to obtain a Public Trust clearance</li></ul><p><br></p><p>Preferred Qualifications</p><ul><li>Experience with full Amazon Connect deployments and telephony configuration</li><li>Experience enabling Contact Lens analytics and compliance features</li><li>Experience with Amazon Q in Connect agent assist</li><li>Experience with Amazon Bedrock, prompt engineering, and guardrails</li><li>Knowledge of RAG architectures, OpenSearch vector search (k‑NN / HNSW)</li><li>Familiarity with AWS WAF, CloudFront, CloudWatch, X‑Ray, Athena, Glue</li><li>Understanding of privacy and compliance concepts (PII, data retention, FISMA/FedRAMP)</li><li>AWS certifications (Developer, Solutions Architect, AI Specialty, DevOps, Security)</li></ul>

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