Google CCAI & Vertex AI Architect

Overview

Remote
Depends on Experience
Contract - W2
Contract - 12 Month(s)

Skills

Artificial Intelligence
Call Center
Cloud Computing
Collaboration
Communication
Conflict Resolution
Data Science
Google Cloud Platform
Google Cloud
Machine Learning Operations (ML Ops)

Job Details

Job Title: Google CCAI & Vertex AI Architect (Remote Contract)

Job Type: Contract
Location: Remote (U.S. based candidates only)
Duration: Long-term contract

Job Description:

We are seeking an experienced AI Architect with strong hands-on expertise in Google CCAI (Contact Center AI) and Vertex AI. The ideal candidate will have led real-world projects focused on call center automation, leveraging advanced machine learning and conversational AI technologies.

Key Responsibilities:

  • Architect and implement production-grade Machine Learning (ML) models, including LLMs, model evaluation, and MLOps pipelines.

  • Design and deploy ML solutions using Google Vertex AI, Python, and related Google Cloud Platform tools for Conversational AI use cases.

  • Collaborate with cross-functional teams to translate business goals into scalable and efficient AI solutions.

  • Work with Google CCAI / Google Insights CES platform and its ecosystem for intelligent call center automation.

  • Develop and enhance agentic architectures and Retrieval-Augmented Generation (RAG) frameworks.

  • Conduct model validation and performance testing using appropriate evaluation frameworks and metrics.

  • Optimize models for efficiency, accuracy, and performance; experience in Parameter-Efficient Fine-Tuning (PEFT) is a plus.

  • Stay current with the latest developments in machine learning, LLMs, and cloud AI services.

Required Qualifications:

  • 10+ years of total experience in software engineering, AI, or data science.

  • Proven experience designing and implementing solutions using Google Vertex AI and Google CCAI.

  • Strong programming skills in Python and familiarity with MLOps tools.

  • Hands-on exposure to LLMs, Conversational AI, and call center automation.

  • Experience with model evaluation frameworks, agentic architectures, and RAG implementations.

  • Excellent problem-solving and communication skills.

Preferred:

  • Experience with Parameter-Efficient Fine-Tuning (PEFT) methods.

  • Familiarity with Google Cloud Insights CES and Voice AI systems.

Additional Information:

  • Work Authorization: Candidates must be legally authorized to work in the United States. (We are unable to sponsor visas at this time.)

  • Remote Flexibility: Fully remote within the U.S.

  • Start Date: Immediate or as soon as possible.

To Apply:
Please share your updated resume along with your availability for a quick discussion.

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