Lead AWS Conversational AI Architect

We are seeking a highly skilled AWS Conversational AI Tech Lead to design, develop, and implement AI-driven conversational solutions using AWS services. The ideal candidate will have hands-on experience with AWS Connect, LEX, Lambda, and other AI/ML services, coupled with strong programming and data science expertise. You will lead end-to-end implementation, integrate microservices, and leverage Generative AI technologies to deliver innovative solutions for clients. Roles and Responsibilities Lead the design, development, and deployment of end-to-end AWS conversational AI pipelines using AWS Connect, LEX, Lambda, Polly, Transcribe, Translate, S3, Kendra, RAG, QnA, and Q Business. Build and integrate Lambda functions and AWS service endpoints for real-time applications. Apply AI/ML algorithms, including NLP techniques, for model training, tuning, and optimization. Design and implement microservices for conversational agents and AI applications. Develop and maintain Python-based applications and Flask APIs, with experience in PostgreSQL or other relational databases. Utilize Generative AI technologies effectively and demonstrate expertise in prompt engineering for improved AI responses. Monitor and optimize system performance using AWS CloudWatch and other monitoring tools. Collaborate with stakeholders, manage project timelines, and ensure high-quality deliverables. Mentor team members and provide technical guidance on AI/ML best practices and AWS implementations. Required Technical Skills Hands-on experience with AWS services: Connect, LEX, Lambda, Polly, Transcribe, Translate, S3, RAG, Kendra, QnA, Q Business Strong programming skills in Python, with experience in Flask APIs Experience with PostgreSQL or other relational databases Knowledge of AI/ML algorithms, model tuning, and data science workflows Experience in Microservices architecture, NLP, and Conversational AI solutions Proficiency in Generative AI and prompt engineering #J-18808-Ljbffr Veriipro