Description

You will design, build, and lead the development of Agentic AI solutions, conversational assistants, and generative AI applications across multiple cloud ecosystems.

This role is remote.

Responsibilities

• Design and implement Agentic AI architectures, defining user flows, API integrations, and conversational designs that ensure intuitive, human-like interactions.
• Develop and deploy AI models and virtual assistants using Google CX Agent Studio, Dialogflow CX, AWS Bedrock, Lambda, and Microsoft CoPilot Studio.
• Tune Natural Language Processing (NLP) techniques, custom indexes, and intent matches to maximize response accuracy and relevance.
• Build and maintain enterprise monitoring dashboards in Looker to track agent performance metrics and identify areas for improvement.
• Mentor engineering teams, lead peer reviews, and establish standards for AI design, security, and data privacy compliance.

Required Skills

• 5+ years of experience developing AI conversation agents and generative AI solutions.
• Proficiency in C#, .NET, JavaScript, and Python for building and testing chatbot applications.
• Hands-on experience with Google tools: CX Agent Studio, Google Conversational Agents, Dialogflow CX, and CCAI Services.
• Experience with AWS ecosystem for Generative AI, including Bedrock, Transcribe, Comprehend, Lambda, and Step Functions.
• Ability to develop AI agents using Microsoft Foundry, Azure AI Search, Azure AI Language Service, Power Platform, and CoPilot Studio.
• Deep understanding of API design principles and specific constraints of AI service interfaces.
• Experience integrating virtual assistants with Office 365, SharePoint, and third-party APIs.

Preferred Skills

• Experience collaborating with Automation Center of Excellence (CoE) teams and adhering to organizational governance policies.
• Ability to lead proof-of-concept (POC) initiatives and conduct emerging technology analysis.

Key Skills

Education

Bachelor's degree