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# IT Consultant 1 (AI Engineer Lead)

- **Company:** Amazon.com, Inc.
- **Location:** Columbus, OH, United States
- **Experience:** Expert
- **Salary:** $135,200.0 - $145,600.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Software Applications, Information Systems, Natural Language Processing, Web Services, Software Application Programming, Generative AI, Information Technology, Virtual Agents, Api Design, Looker Analytics
- **Published:** August 14, 2026
- **Apply:** https://www.careerjet.com/jobad/usab0c9646626dcab63e4b5307c05959a6

## About the Role

* Bachelor's degree in computer science, Information systems or related discipline, or equivalent and extensive related project experience
 * Six years of experience in IT, with at least 4 years AI Conversational Agents and (or) Generative AI combined implementation experience
 * AI Engineer Experience developing Google conversational agents / CX Agent Studio / Dialogflow CX Web and Voice Virtual Assistants
 * 2 years developing Enterprise Looker Dashboards to monitor AI Agent performance
 * AI Engineer Experience in AWS ecosystems using AWS services such as AWS Bedrock, AWS Transcribe, AWS Comprehend, Lamda and Step Functions
 * Google and AWS Certifications relevant to this role preferred.

## Description

Developing applications that interact with web services, APIs, and other software applications.
Mentoring and leading AI design and development efforts as needed.
Conducting peer reviews for AI design and development efforts to ensure existing standards are adhered to and establish additional standards as needed.
Designing the overall structure of Agentic AI solutions, including determining necessary features, user flow, API development and integration with other systems. Requires understanding of API design principles and specific constraints of AI service interfaces.
Implementing and tuning Natural Language Processing techniques to improve AI assistants' understanding and response accuracy.
Training and deploying AI models, and monitoring solution performance by creating and utilizing Dashboards.
Creating custom indexes, managing data sources, and tuning intent matches to improve accuracy and relevance of results within the AI solution context.
Designing conversational flows that provide a seamless and intuitive user experience, with strong focus on making the agent interactions as human-like and engaging as possible.


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