Description 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).
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.
This is an excellent opportunity to grow as a software developer while contributing to impactful, production-grade AI solutions.
Primary Responsibilities
Amazon Connect Application Development
- Design, build, and maintain Amazon Connect contact flows, routing profiles, and queues for voice and chat
- Integrate Amazon Lex V2 bots for call deflection, self-service workflows, and escalation
- Configure Contact Lens for transcription, summarization, sentiment analysis, QA insights, and redaction
- Configure Amazon Q in Connect domains, knowledge sources, guided workflows, and agent assist capabilities
- Implement secure S3-based transcript storage with encryption, lifecycle policies, and retention controls
eAI Orchestration & Backend Services
- Develop AWS Lambda (Python) functions to orchestrate:
- Amazon Bedrock LLM calls
- Embeddings workflows
- Model invocation logging and observability
- Implement OpenSearch indexing, keyword/vector queries, and ingestion triggers
- Build Retrieval-Augmented Generation (RAG) pipelines to support agent assist and self-service knowledge
- Apply structured logging, testing, error handling, and performance/cost safeguards
Data Safety, Security & Compliance
- Implement AI guardrails, prompt templates, and output evaluation mechanisms
- Enforce PII redaction and minimization across conversation logs
- Participate in threat modeling and remediation for contact center integrations
Web, Chat & Integration Support
- Support CloudFront + WAF configurations for secure web chat entry points
- Build APIs and event hooks to pass context between web chat, Amazon Connect, and AI services
DevSecOps & Operations
- Contribute to Git-based CI/CD pipelines, code reviews, and documentation
- Maintain runbooks, SOPs, and architecture diagrams
- Create and monitor CloudWatch dashboards and alarms for:
- Call deflection rate
- Average Handle Time (AHT)
- Contact resolution
- AI usage metrics
Requirements Basic Qualifications
- Bachelor's degree in Computer Science, Engineering, or related field with 2-4 years of experience, OR a Master's degree
- 2+ years of software development experience with Python, including AWS Lambda
- Hands-on experience configuring Amazon Connect (contact flows, routing, queues, voice/chat)
- Experience integrating Amazon Lex V2 with Connect flows
- Familiarity with conversational AI design (slot filling, error handling, fallback patterns)
- Infrastructure as Code experience (CloudFormation)
- Git-based CI/CD workflows
- Foundational AWS security knowledge (IAM least privilege, KMS encryption, logging/monitoring)
- Strong written and verbal communication skills
- Ability to obtain a Public Trust clearance
Preferred Qualifications
- Experience with full Amazon Connect deployments and telephony configuration
- Experience enabling Contact Lens analytics and compliance features
- Experience with Amazon Q in Connect agent assist
- Experience with Amazon Bedrock, prompt engineering, and guardrails
- Knowledge of RAG architectures, OpenSearch vector search (k-NN / HNSW)
- Familiarity with AWS WAF, CloudFront, CloudWatch, X-Ray, Athena, Glue
- Understanding of privacy and compliance concepts (PII, data retention, FISMA/FedRAMP)
- AWS certifications (Developer, Solutions Architect, AI Specialty, DevOps, Security)
Technology Doesn't Change the World, People Do.
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