Lead AI Engineer

Diversified Systems

Location: Remote
Workplace: Remote
Employment: Full Time
Salary: —

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 as needed
Conduct peer reviews for AI design and development efforts to ensure existing standards are adhered to and establish additional standards as needed
Design 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
Implement and tune Natural Language Processing techniques to improve AI assistants' understanding and response accuracy
Train and deploy AI models, and monitor solution performance by creating and utilizing dashboards
Create custom indexes, manage data sources, and tune intent matches to improve accuracy and relevance of results within the AI solution context
Design 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
Analyze agent interaction data to identify patterns, trends, and areas for improvement
Prepare reports on agent performance metrics
Identify and resolve issues related to agent performance, including debugging and updating the system as necessary
Ensure the AI agent/conversational assistant complies with data privacy laws and maintains high standards of security, especially when handling sensitive user data
Work effectively with cross-functional teams, including business analysts, UX designers, project managers, and business customers and business SMEs from across the enterprise
Collaborate effectively with Automation Center of Excellence (CoE) team members, incorporating the established standards; adhering to organization process and ensuring that solutions align with target architectures and technology roadmaps
Ensure that AI systems operate safely, transparently and within acceptable boundaries in alignment with the organization's governance policies and practices
Plan, initiate and spearhead proof of concept (POC) initiatives using emerging technologies
Perform technical writing leveraging tools such as Word, PowerPoint, Visio, SharePoint, and Excel to develop presentations and white papers

Requirements

Bachelor's degree in Computer Science, Information Systems or related discipline, or equivalent and extensive related project experience required
6 years of experience in IT, with at least 4 years AI Conversational Agents and/or Generative AI combined implementation experience using Microsoft, Google and AWS ecosystems required
2 years of AI Engineer experience developing Google conversational agents / CX Agent Studio / Dialogflow CX Web and Voice Virtual Assistants required
2 years of experience developing Enterprise Looker Dashboards to monitor AI Agent performance required
2 years of AI Engineer experience in AWS ecosystems using AWS services such as AWS Bedrock, AWS Transcribe, AWS Comprehend, Lamda and Step Functions required
Extensive knowledge and experience developing AI Conversation agents using Google tools such as CX Agent Studio, Google Conversational Agents, Google Dialogflow CX, and/or Google CCAI Services required
Experience in creating and maintaining Enterprise Looker Dashboards for monitoring performance of implemented AI Agents required
Experience developing Generative AI solutions in AWS ecosystem including but not limited to AWS services such as AWS Bedrock, AWS Transcribe, AWS Comprehend, Lamda and Step Functions required
Ability to develop AI agents/virtual assistants using Microsoft Foundry with Azure services like Azure AI Search, and Azure AI Language Service, Microsoft Power Platform and Microsoft CoPilot Studio required
Ability to integrate virtual assistants with various Microsoft services (such as Office 365, SharePoint) and third-party APIs to enhance functionality required
Deep understanding of API design principles and specific constraints of AI service interfaces required
Strong programming skills in languages such as C#, .NET, JavaScript, or Python required
Experience in developing, testing, and deploying chatbot applications required
Ability to facilitate and lead discussions with business SMEs required
Ability to create and present AI solution proposals and communicate both business and technical concepts required
Ability to lead and conduct emerging technology analysis and conduct proof of concept initiatives required
Experience in training and deploying AI models required
Experience in leading efforts to create technology solutions and architectures impacting critical areas of the business required
Ability to establish and maintain a high-level of customer trust and confidence required
Ability to think critically and solve problems required

Preferred

Master's degree highly desired
Agentic AI Developer Experience using Microsoft Foundry highly desired
Experience developing and maintaining SharePoint online solutions using MS Power Platform highly desired
Google and AWS Certifications relevant to this role highly desired

Skills

Microsoft
Google
AWS
CX Agent Studio
Dialogflow CX
Looker
AWS Bedrock
AWS Transcribe
AWS Comprehend
Lambda
Step Functions
Google CCAI Services
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
Natural Language Processing
Large Language Models

Responsibilities

Requirements

Preferred

Skills

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