More jobs:
AWS Conversational AI Tech Lead
Job in
Cincinnati, Hamilton County, Ohio, 45208, USA
Listed on 2026-05-28
Listing for:
Veriipro
Full Time
position Listed on 2026-05-28
Job specializations:
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
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 Postgre
SQL 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 Cloud Watch 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.
- 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 Postgre
SQL 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
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