AWS Amazon Connect Architect

About the job - Integration Development & Solution Design expert with 5 years experience: - Minimum of 5 years of experience in AI/ML development with a strong focus on AWS technologies, especially Amazon Connect, Lambda, and Bedrock. - Design and develop intelligent customer service workflows using Amazon Connect and Amazon Lex to handle customer requests, such as booking rental showings, by processing customer inputs (e.g , voice commands) and querying Salesforce for information. - Build and maintain Amazon Connect Contact Flows that integrate seamlessly with Amazon Lex to automate customer interactions, such as understanding requests and responding in a human-like manner. - Integrate Salesforce with Amazon Lex via AWS Lambda to retrieve relevant data, such as availability for rental showings or property details, and pass that information back to Amazon Lex for dynamic responses. Bot Development and AI Model Management: - Leverage Amazon Lex to design and implement conversational AI models that can handle complex interactions, including NLP (Natural Language Processing) to understand customer intent. - Ensure the Lex bot can query Salesforce for available data, using Lambda functions for API calls to Salesforce. - Implement and optimize AI models to respond to customers in a human-like manner, ensuring natural conversation flow from the bot. AWS Lambda & Salesforce Integration: - Develop AWS Lambda functions to facilitate communication between Amazon Lex and Salesforce, ensuring seamless data flow. For example, when a customer asks for details, Lex will query Salesforce for available data and then provide a confirmation to the user. - Ensure that Lambda functions are designed to handle real-time API requests to Salesforce, extract relevant data , and return that data to Amazon Lex for appropriate Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. - Hands-on experience with AWS services like Amazon Lex, Amazon Polly, Amazon Transcribe, Amazon Rekognition, and Amazon SageMaker. - Proven experience working with Amazon Bedrock for deploying machine learning models at scale. - Strong knowledge of serverless architecture and AWS Lambda to process real-time events and data streams. - Experience with NLP (Natural Language Processing) and speech-to-text technologies. - Familiarity with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. - Knowledge of data pipelines, ETL processes, and data integration techniques for AI/ML applications. - Strong experience with REST APIs, AWS SDKs, and integrating third-party services into the AWS ecosystem. - Understanding of Amazon Connect architecture and contact flow customization. - Proficiency in Python, JavaScript, or Node. js for implementing AI/ML models and Lambda functions. Preferred Skills : - AWS Certified Cloud Practitioner (Mandatory) - AWS Certified Developer - Associate (Mandatory) - AWS Certified Machine Learning - Specialty or similar AWS certifications (Good to have) - AWS Certified Solutions Architect - Associate (Good to have) - Experience with AWS Glue, AWS Sagemaker, and Amazon Kendra for advanced AI/ML integrations. - Experience with Chatbot development and Voice AI systems using Amazon Lex and Amazon Polly. - Strong problem-solving skills, with the ability to troubleshoot and optimize complex systems. - Excellent communication and team collaboration skills, with the ability to present complex technical information clearly (ref:hirist.tech)

Location: in, IN

Posted Date: 4/11/2025