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Vertex Ai Jobs (NOW HIRING)

Right Skale, Inc.

GCP AI Engineer

Key Responsibilities • Architect and implement end-to-end conversational AI and generative AI solutions leveraging Dialogflow CX , Vertex AI , and Vertex AI Agent Builder . • Integrate AI ...

Right Skale, Inc.

GCP AI Engineer

Key Responsibilities • Architect and implement end-to-end conversational AI and generative AI solutions leveraging Dialogflow CX , Vertex AI , and Vertex AI Agent Builder . • Integrate AI ...

MphasiS Corporation USA

Agentic AI Lead

Berkeley Heights, NJ · On-site

$146K - $179K/yr

Agentic AI Lead (Python) Vertex AI RAG + Graph/Vector Datastores Berkeley Heights, NJ Role summary We re looking for a strong agentic AI developer who can build and productionize Vertex AI based RAG ...

Hirekeyz Inc

Agentic AI Developer

Berkeley Heights, NJ · On-site

Berkeley Heights, NJ Duraction: Full Time Agentic AI Developer (Python) -- Vertex AI RAG + Graph/Vector Datastores Role summary We're looking for a strong agentic AI developer who can build and ...

Noblesoft Technologies

AI Architect

Paramus, NJ · On-site

Vertex AI for model lifecycle management * Google Agent Development Kit (ADK) for intelligent agents * Google Workspace integrations (Docs, Sheets, Gmail, Drive, Meet) * Architect solutions using ...

Paramount

Senior Applied AI Engineer

Manhattan, NY · Hybrid

$115K - $157K/yr

Cloud & Platform Engineering (Vertex AI) Leverage Google Cloud Vertex AI to build scalable, production-grade AI systems, including: o Model Garden o Vertex AI Training, Tuning (LoRA/QLoRA), and ...

Paramount

Senior Applied AI Engineer

Burbank, CA · Hybrid

$111K - $152K/yr

Cloud & Platform Engineering (Vertex AI) Leverage Google Cloud Vertex AI to build scalable, production-grade AI systems, including: o Model Garden o Vertex AI Training, Tuning (LoRA/QLoRA), and ...

Noblesoft Technologies Inc.

AI Architect

Paramus, NJ · On-site

$63.75 - $84/hr

Vertex AI for model lifecycle management * Google Agent Development Kit (ADK) for intelligent agents * Google Workspace integrations (Docs, Sheets, Gmail, Drive, Meet) * Architect solutions using ...

Paramount

Senior Applied AI Engineer

Manhattan, NY · On-site

$115K - $157K/yr

Cloud & Platform Engineering (Vertex AI) • Leverage Google Cloud Vertex AI to build scalable, production-grade AI systems, including: o Model Garden o Vertex AI Training, Tuning (LoRA/QLoRA), and ...

Cognizant

Sr. AI Architect

San Francisco, CA · On-site

Responsibilities : • Define and lead enterprise AI architecture strategy for Generative AI and agentic AI solutions on GCP. • Architect and implement LLM-based applications using Vertex AI ...

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How much do vertex ai jobs pay per hour?

As of Jul 6, 2026, the average hourly pay for vertex ai in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

How do Vertex AI engineers typically collaborate with data scientists and business stakeholders on machine learning projects?

Vertex AI engineers frequently work closely with data scientists to streamline the deployment and scaling of machine learning models on Google Cloud. They help bridge the gap between model development and production, ensuring that models are robust, scalable, and aligned with business objectives. Collaboration often involves regular meetings to clarify requirements, sharing best practices for model monitoring, and integrating models with existing business systems. Effective communication skills and a clear understanding of both technical and business priorities are essential for success in this role.

What is Vertex AI?

Vertex AI is a managed machine learning (ML) platform provided by Google Cloud that enables users to build, deploy, and scale ML models efficiently. It integrates various Google Cloud services and tools for data preparation, model training, evaluation, deployment, and monitoring, all within a unified interface. Vertex AI supports both custom and AutoML models, making it accessible for users with varying levels of ML expertise. It also offers MLOps features for workflow automation and collaboration, streamlining the entire ML lifecycle.

What are the key skills and qualifications needed to thrive as a Vertex AI Specialist, and why are they important?

To excel as a Vertex AI Specialist, you need a solid background in machine learning, data science, and cloud computing, often supported by a degree in computer science or a related field. Familiarity with Google Cloud Platform, Vertex AI tools, Python programming, and relevant certifications such as Google Professional Machine Learning Engineer are typically required. Analytical thinking, problem-solving, and strong communication skills help you collaborate with teams and explain complex AI solutions to stakeholders. These skills are vital for building, deploying, and optimizing machine learning models efficiently in cloud environments.
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Vertex Ai jobs near you
Infographic showing various Vertex Ai job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Senior GCP Engineer with Vertex AI and MLOps - Remote (US)

Saransh Inc

Cincinnati, OH • Remote

$107K - $146K/yr

Contractor

Posted 16 days ago

Job description

Senior GCP Engineer with Vertex AI and MLOps
Remote (Cincinnati, OH)
Contract
 
Required:
  • Senior GCP engineer with atleast 7 years on project experience.
  • Worked with Vertex AI and ML/Ops.
  • Can work independently with the data science team. 
  • Overall Communication needs to be good.
Description:
  • As a Sr. Data Engineer, you will have the opportunity to lead the development of innovative data solutions, enabling the effective use of data across the organization.
  • You will be responsible for designing, building, and maintaining robust data pipelines and platforms to meet business objectives, focusing on data as a strategic asset.
  • A strong emphasis will be placed on expertise in GCP, Vertex AI, and advanced feature engineering techniques.

Key Responsibilities:

  • Provide Technical Leadership
  • Build and Maintain Data Pipelines: Design, build, and maintain scalable, efficient, and reliable data pipelines to support data ingestion, transformation, and integration across diverse sources and destinations, using tools such as Kafka, Databricks, and similar toolsets.
  • Drive Digital Innovation: Leverage innovative technologies and approaches to modernize and extend core data assets, including SQL-based, NoSQL-based, cloud-based, and real-time streaming data platforms.
  • Implement Feature Engineering: Develop and manage feature engineering pipelines for machine learning workflows, utilizing tools like Vertex AI, BigQuery ML, and custom Python libraries.
  • Implement Automated Testing: Design and implement automated unit, integration, and performance testing frameworks to ensure data quality, reliability, and compliance with organizational standards.
  • Optimize Data Workflows
  • Mentor Team Members
  • Draft and Review Documentation: Draft and review architectural diagrams, interface specifications, and other design documents to ensure clear communication of data solutions and technical requirements.
  • Cost/Benefit Analysis: Present opportunities with cost/benefit analysis to leadership, guiding sound architectural decisions for scalable and efficient data solutions