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Kevin Weithers

@kevinweithers

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Senior AI engineer building production-ready GenAI, agentic, and LLM/RAG platforms.

United States

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What I'm looking for

I’m looking to build reliable production GenAI/agentic systems—RAG/GraphRAG, voice and intelligent search—using strong MLOps on AWS, with ownership from architecture to deployment and mentoring teams to ship trusted AI.

I’m a Senior AI Engineer with 8+ years of experience building production AI, Generative AI, Agentic AI, LLM, RAG, and cloud-native platforms.

I’ve delivered enterprise AI solutions across knowledge management, intelligent search, workflow automation, conversational AI, and Voice AI—leading projects from architecture through production.

I design scalable ML infrastructure and deploy LLM applications on AWS, including RAG and GraphRAG platforms for semantic search and knowledge graph reasoning.

I’m also hands-on with multi-agent systems and voice assistants, and I establish end-to-end MLOps practices—covering experiment tracking, CI/CD for ML, monitoring, drift detection, and evaluation frameworks to improve reliability and trust.

Experience

Work history, roles, and key accomplishments

Current

Senior AI Engineer

Current

Cognizant

Jun 2024 - Present (2 years 1 month)

Led architecture and development of enterprise Generative AI and Agentic AI solutions for intelligent search, knowledge management, workflow automation, and conversational experiences. Architected production RAG/GraphRAG platforms, multi-agent systems, Voice AI assistants, and end-to-end MLOps on AWS.

Senior Machine Learning Engineer

Amazon

Oct 2021 - Jun 2024 (2 years 8 months)

Designed and deployed enterprise Voice AI and LLM-powered conversational agents for customer support and internal workflows. Built RAG-based knowledge assistants and production ML pipelines, including monitoring, governance, and ETL/ELT orchestration.

Data Engineer

Salesforce

Apr 2018 - Oct 2021 (3 years 6 months)

Designed and maintained enterprise-scale data platforms supporting analytics, reporting, machine learning, and operational decision-making. Built large-scale ingestion/transformation pipelines, ETL/ELT frameworks, data warehouse architectures, and monitoring/alerting with Airflow.

Kafka Airflow Spark PostgreSQL MongoDB MySQL ETL ELT Data Warehouse Architecture Partitioning Indexing Looker Monitoring And Alerting Data Ingestion data transformation

Data Scientist

Enova International

May 2016 - Apr 2018 (1 year 11 months)

Developed predictive analytics and machine learning solutions for customer analytics, portfolio monitoring, operational decision-making, and business growth. Built classification, regression, forecasting, and segmentation models, including feature engineering and NLP for extracting insights from unstructured text.