AI Engineer Lead
Main Sail
- Location
- US
- Workplace
- Remote
- Employment
- Full Time
- Salary
- USD 85–95/hr
Posted 1mo ago
The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.
Responsibilities
- Develop applications that interact with web services, APIs, and other software applications
- Mentor and lead AI design and development efforts
- Conduct peer reviews for AI design and development efforts
- Design the overall structure of Agentic AI solutions, including features, user flow, API development and integration
- Implement and tune Natural Language Processing techniques to improve AI assistants' understanding and response accuracy
- Train and deploy AI models, and monitor solution performance using dashboards
- Create custom indexes, manage data sources, and tune intent matches
- Design conversational flows for seamless and intuitive user experience
- Analyze agent interaction data to identify patterns and areas for improvement
- Prepare reports on agent performance metrics
- Identify and resolve issues related to agent performance, including debugging and updating the system
- Ensure AI agents comply with data privacy laws and maintain high security standards
- Work with cross-functional teams including business analysts, UX designers, and project managers
- Collaborate with Automation Center of Excellence (CoE) team members
- Ensure AI systems operate safely, transparently and within governance policies
- Plan and spearhead proof of concept (POC) initiatives using emerging technologies
- Develop technical writing using Word, PowerPoint, Visio, SharePoint, and Excel
Requirements
- Bachelor's degree in computer science, Information systems or related discipline, or equivalent experience
- Six years of experience in IT, with at least 4 years AI Conversational Agents and/or Generative AI combined implementation experience
- 2 years 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
- 2 years AI Engineer Experience in AWS ecosystems using AWS services such as AWS Bedrock, AWS Transcribe, AWS Comprehend, Lambda and Step Functions
- Experience developing AI agents/virtual assistants using Microsoft Foundry with Azure services like Azure AI Search and Azure AI Language Service
- Experience with Microsoft Power Platform and Microsoft CoPilot Studio
- Strong programming skills in C#, .NET, JavaScript, or Python
- Experience in developing, testing, and deploying chatbot applications
- Deep understanding of API design principles and constraints of AI service interfaces
Preferred
- Agentic AI Developer Experience using Microsoft Foundry
- Experience developing and maintaining SharePoint online solutions using MS Power Platform
- Google and AWS Certifications relevant to this role
- Master's degree in computer science, Information systems or related discipline
Skills
- Google CX Agent Studio
- Google Conversational Agents
- Google Dialogflow CX
- Google CCAI Services
- Looker
- AWS Bedrock
- AWS Transcribe
- AWS Comprehend
- AWS Lambda
- AWS Step Functions
- Microsoft Foundry
- Azure AI Search
- Azure AI Language Service
- Microsoft Power Platform
- Microsoft CoPilot Studio
- Office 365
- SharePoint
- C#
- .NET
- JavaScript
- Python
- Word
- PowerPoint
- Visio
- Excel
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