Description

Build and maintain Gen AI-powered contact center solutions on AWS, integrating LLMs, vector search, and conversational flows.

This role is on-site.

Responsibilities

• Develop and configure Amazon Connect contact flows, routing profiles, and queues for voice and chat channels.
• Integrate Lex V2 bots and Amazon Q agent assist into Connect for self-service and call deflection.
• Write Python AWS Lambda functions to orchestrate Bedrock LLM calls, embeddings, and RAG pipelines.
• Implement OpenSearch vector indexing, Contact Lens analytics, and S3-based transcript storage with compliance policies.
• Establish CI/CD pipelines, CloudWatch monitoring, and security guardrails for prompt safety and PII redaction.

Required Skills

• 2–4 years of software development with Python, including building and troubleshooting AWS Lambda functions.
• Hands-on experience with Amazon Connect setup, contact flows, and channel integration (voice/chat).
• Experience integrating Lex V2 bots and familiarity with conversational AI design patterns.
• Infrastructure as Code experience with CloudFormation and Git-based CI/CD workflows.
• Foundational security knowledge: least privilege IAM, KMS encryption, and secure logging.
• US Citizen with ability to obtain a Public Trust clearance.

Preferred Skills

• Practical exposure to full Amazon Connect deployments, including telephony setup and performance optimization.
• Experience with Amazon Bedrock, prompt engineering, and RAG/vector search using OpenSearch.
• Familiarity with AWS WAF, CloudFront, and observability tools like X-Ray and Athena.

Key Skills

Education

Bachelor's or Master's degrees