AI Architect (Dialogflow CX /Google Conversational Agents)

Info Origin

• $120K — $145K *
Columbus, OH 43230In-Person
Information Technology
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science or related field (or equivalent experience).
  • 6+ years of IT experience with 4+ years in Conversational AI/GenAI.
  • 2+ years developing Google Conversational Agents/Dialogflow CX.
  • 2+ years developing Enterprise Looker dashboards for AI.
  • 2+ years hands-on AWS AI experience with tools like Bedrock.
  • Experience with Microsoft Foundry or Agentic AI preferred.
  • Google and AWS certifications are highly desired.

Responsibilities

  • Design, develop, deploy, and optimize Conversational AI and GenAI solutions.
  • Build conversational flows and virtual assistant functionality, integrating NLP and APIs.
  • Create AI solution architecture, focusing on data access and system integrations.
  • Monitor and enhance agent performance using Looker dashboards and analytics.
  • Ensure AI solutions comply with security, privacy, and governance standards.
  • Lead technical reviews and participate in architecture discussions and POCs.
  • Mentor AI engineers and collaborate with cross-functional teams.
  • Prepare and present technical proposals and solution documentation.

Benefits

  • Remote working flexibility.
  • Opportunity to lead innovative AI projects.
  • Mentorship experience working with junior engineers and diverse teams.
  • Exposure to cutting-edge AI technologies and frameworks.
  • Chance to shape company-wide AI strategies and architectures.
Full Job Description
Lead AI Engineer - REMOTE

Role Summary

Seeking a Lead AI Engineer experienced in Conversational AI, Generative AI, Context Engineering, and Agentic AI across Google, AWS, and Microsoft ecosystems. The role involves designing AI agents, integrating APIs and enterprise systems, ensuring secure deployment, and mentoring AI engineers.

Key Responsibilities
  • Design, develop, deploy, and optimize Conversational AI, GenAI, and Agentic AI solutions.
  • Build conversational flows, virtual assistants, NLP/LLM solutions, and API integrations.
  • Design AI solution architecture, data access, APIs, and system integrations.
  • Monitor and improve agent performance using Looker dashboards, analytics, and tuning.
  • Ensure AI solutions meet security, privacy, governance, and responsible AI standards.
  • Lead technical reviews, POCs, emerging technology initiatives, and architecture discussions.
  • Mentor AI engineers and collaborate with business SMEs, UX, BA, PM, and CoE teams.
  • Prepare and present technical proposals, solution architectures, and documentation.

Required Technical Skills
  • Google: CX Agent Studio, Dialogflow CX, Google Conversational Agents / CCAI.
  • AWS: Bedrock, Transcribe, Comprehend, Lambda, Step Functions.
  • Microsoft: Microsoft Foundry, Azure AI Search, Azure AI Language, Copilot Studio, Power Platform.
  • Analytics: Enterprise Looker dashboards for AI agent monitoring.
  • Programming: Python, C#, .NET, JavaScript, or similar.
  • Strong knowledge of API design, NLP, LLMs, GenAI, Agentic AI, and chatbot development.
  • Experience integrating AI assistants with SharePoint, Office 365, and third-party APIs.

Education & Experience
  • Bachelor's degree in Computer Science, Information Systems, or related field; equivalent experience accepted.
  • 6+ years IT experience, including 4+ years in Conversational AI and/or GenAI implementation.
  • 2+ years developing Google Conversational Agents / Dialogflow CX / CX Agent Studio for web and voice assistants.
  • 2+ years developing Enterprise Looker dashboards for AI agent performance.
  • 2+ years hands-on AWS AI experience with Bedrock, Transcribe, Comprehend, Lambda, and Step Functions.
  • Microsoft Foundry / Agentic AI experience is preferred.
  • Google and AWS certifications are highly desired.
* Ladders Estimates

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