Sr. Conversational AI Engineer – AWS Lex Location: Remote – India (Preference from Bangalore, Coimbatore, or Chennai) Type: Contract (6 months, with potential extension) Level: L5–L6 (Senior Engineer or Principal Engineer equivalent) About the Role We are actively seeking hands-on builders with deep expertise in Amazon Lex and AWS Lambda to lead the migration and re-architecture of enterprise conversational bots from Microsoft Azure to a modern, scalable AWS-native stack. This is a greenfield opportunity to reimagine chatbot architecture for global enterprise use, supporting high-volume, high-reliability workflows. You’ll join a cross-functional engineering team building secure, responsive, and intelligent conversational interfaces that deeply integrate with enterprise systems. This is a delivery-focused role for engineers who thrive in cloud-native environments and want to build and own impactful AI-powered experiences at scale. Key Responsibilities • Lead end-to-end replatforming of Azure Bot Services into Amazon Lex (v2), emphasizing performance, scale, and enterprise readiness • Architect and implement reusable conversational modules: intents, slots, fulfillment, error handling, and session management • Develop Lambda-based fulfillment workflows integrated with REST APIs, event buses (EventBridge), and Step Functions • Collaborate with conversation designers and UX teams to craft natural and context-aware dialogues • Implement DevOps pipelines using AWS CodePipeline, GitHub Actions, or similar CI/CD tools • Establish and maintain observability and monitoring for bot health, latency, and NLP performance • Drive best practices around testing, deployment, and bot lifecycle management • Ensure scalability, security, and compliance (e.g., SSO integration, audit logging, data masking) Minimum Qualifications • 5+ years of software development experience with at least 2+ years focused on Conversational AI • Proven delivery of production-grade bots on Amazon Lex v2 • Strong AWS serverless background: Lambda, API Gateway, DynamoDB, Step Functions, EventBridge • Demonstrated experience migrating from Microsoft Bot Framework or Azure Bot Services • Proficient in Python or Node.js for Lambda development • Experience designing enterprise-grade conversational flows • Familiarity with Infrastructure-as-Code (CDK, Terraform, or CloudFormation) • Strong understanding of NLP concepts, error handling, fallback design, and session state logic • Experience working in agile delivery environments with design, QA, and platform engineers Preferred Qualifications • Experience with AWS AI/ML services like Comprehend, Transcribe, or Polly • Understanding of data governance and compliance standards (GDPR, HIPAA) • Background in deploying bots into regulated industries (finance, insurance, healthcare) • Exposure to chatbot analytics tools and NLU performance tuning • Familiarity with conversational analytics platforms (e.g., Amazon Lex analytics, Dashbot, Voiceflow)
Job Title
AI Engineer