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An opportunity is available for an early-career GenAI Application Developer to build and enhance AI-powered applications for an AWS Contact Center as a Service (CCAS) platform. This software development role focuses on conversation flow design, Amazon Connect integrations, AI service orchestration, generative AI safety, and the creation of supporting APIs and data pipelines. You will work with senior developers, UI/UX designers, and cloud engineers to implement features that improve customer experience through intelligent automation.
Job Responsibility
Build, update, and maintain Amazon Connect contact flows, routing profiles, and queues for voice and chat channels
Integrate Lex V2 bots into Amazon Connect flows for call deflection and self-service
Enable and configure Contact Lens for real-time and post-contact analytics, transcription, and redaction
Configure Amazon Q in Connect for agent assist experiences
Write AWS Lambda (Python) functions to orchestrate Bedrock LLM calls and embeddings workflows
Implement OpenSearch indexing, vector/keyword queries, and knowledge synchronization triggers
Build retrieval-augmented generation (RAG) pipelines to enhance agent assist and self-service knowledge
Implement AI guardrails, prompt templates, and output evaluation for safety and accuracy
Contribute to Git-based CI/CD pipelines, code reviews, and documentation
Create and monitor CloudWatch dashboards and alarms for key performance metrics
Requirements
A Bachelor’s degree in Computer Science, Engineering, or a related field with 2–4 years of relevant experience, or a Master’s degree with 1-2 years of prior relevant experience is required
This role requires 2+ years of software development experience with Python, including building and troubleshooting AWS Lambda functions
Hands-on experience with Amazon Connect setup and configuration, including contact flows, routing profiles, and queues is necessary
Experience integrating Lex V2 bots with Amazon Connect flows is also required
Should have familiarity with conversational AI design, including slot elicitation and error recovery
Experience with Infrastructure as Code (CloudFormation) and Git-based CI/CD workflows is required
Foundational security knowledge, including least privilege IAM, encryption at rest (KMS), and secure logging, is expected
Strong written and verbal communication skills are necessary
Candidates must be able to obtain and/or maintain a Public Trust clearance as a condition and continuation of employment
Nice to have
Practical exposure to full Amazon Connect deployments, including telephony setup and queue performance optimization
Experience with Amazon Q in Connect for agent assist workflows
Experience with Amazon Bedrock and prompt engineering
Knowledge of Retrieval Augmented Generation (RAG) and vector search with AWS OpenSearch Service
Familiarity with AWS WAF, CloudFront, and edge security patterns
Observability and analytics skills using CloudWatch, X-Ray, and Athena/Glue
Certifications such as AWS Developer Associate, AWS Solutions Architect Associate/Professional, AWS AI Specialty, or AWS DevOps Engineer
What we offer
medical
dental
vision
life
disability
other insurance plans
ESPP (employee stock purchase program)
401K program with company match after 12 months
HSA (Health Savings Account on the HDHP plan)
SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions
corporate discount savings program
other discounts
on-demand training program
access to certification prep and library of technical and leadership courses/books/seminars after 6 months