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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 ...

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 ...

Cyod

Principal AI Engineer

Nashville, TN · On-site

$180 - $240/hr

Principal AI EngineerFocus Agentic Systems, Google Cloud & Vertex AI, LLMs, and Clinical Operations Engineering Location Nashville, TN area preferred Insight at a Glance * 14,000+ engaged teammates ...

Insight Enterprises

Principal AI Engineer

Nashville, TN · On-site

Requisition Number: 105933 Principal AI Engineer Focus Agentic Systems, Google Cloud & Vertex AI, LLMs, and Clinical Operations Engineering Location Nashville, TN area preferred Insight at a Glance ...

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 ...

Paramount

Senior Applied AI Engineer

Burbank, CA · On-site

$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 ...

Crateandbarrel

Senior AI Engineer

$107K - $146K/yr

Own end-to-end model deployment on GCP (Vertex AI, GKE, Cloud Run), ensuring performance, scalability, and stability under low-latency production requirements * Build and maintain MLOps pipelines on ...

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 ...

Trinity Technology Solutions

AI Engineer

San Jose, CA · On-site

Experience with Al ML search and data services within GCP ecosystem such as GCP Vertex AI Vertex AI Vector Search Gemini Cloud Run Cloud SQL etc * Experience with agent frameworks such as Google ADK ...

Paramount Pictures

Senior Applied AI Engineer

Burbank, CA · On-site

$139 - $209/hr

Integrate Vertex AI with GCP services (BigQuery, Cloud Run, GKE, Pub/Sub) for full production deployment. Technical Leadership * Lead architectural decisions on LLM system design, MLOps, data ...

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Vertex Ai information

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How much do vertex ai jobs pay per hour?

As of Sep 2, 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.

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.

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 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.

Does Vertex Ai have remote jobs?

Vertex AI offers remote job opportunities for roles such as data scientists and machine learning engineers. These positions often require proficiency with cloud platforms, programming skills, and collaboration tools, and may be available on a flexible or fully remote basis depending on the role and company policies.
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Vertex Ai jobs near you
Infographic showing various Vertex Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Gen AI Sr. Engineer (Vertex AI / Python / ADK)

VeeRteq Solutions Inc.

Denver, CO • On-site

Contractor

Posted 6 days ago

Job description

Role: Gen AI Sr. Engineer (Vertex AI / Python / ADK)

Experience: - Min 8+ Years

Location: - Denver, CO (Onsite)

Seeking an experienced Gen AI Sr. Engineer to design, develop, deploy, and govern scalable Agentic AI solutions using Python, ADK, LLMs, multi-agent systems, GCP, Terraform, and CI/CD, while establishing architectural standards, AI governance, observability, and enterprise-grade AI application delivery.

Responsibilities –

· AI Agent Development (40%) Design, develop, and maintain AI agents and AI-powered applications using Python and ADK. Develop reusable agent frameworks, orchestration workflows, and integrations. Build intelligent workflows leveraging LLMs, RAG, tool calling, and multi-agent systems.

· Ensure reliability, scalability, observability, and performance of AI agents. Cloud Deployment & Operations (25%) Deploy, monitor, and optimize AI applications and agents on Google Cloud Platform. Manage cloud-native services, APIs, compute resources, and AI infrastructure. Implement monitoring, logging, security, and operational best practices. Optimize infrastructure and application performance for cost and efficiency.

· Collaboration & Integration (15%) Partner with data scientists, analysts, architects, and business stakeholders.

· Translate business requirements into AI-enabled technical solutions. Integrate AI agents into existing enterprise applications and workflows. Participate in solution design, architecture reviews, and stakeholder discussions. Infrastructure Automation (10%) Develop Infrastructure as Code (IaC) solutions using Terraform. Automate environment provisioning, deployments, and cloud configurations.

· Implement CI/CD pipelines supporting AI application lifecycles. Quality Engineering & Continuous Improvement (5%) Perform unit testing, integration testing, and troubleshooting. Improve agent evaluation, observability, and operational excellence.

· Resolve production issues and optimize solution performance. Other Duties (5%) Support innovation initiatives and continuous learning. Contribute to AI best practices, standards, and reusable frameworks.

Educational Qualifications: -

Engineering Degree – BE/ME/BTech/MTech/BSc/MSc.

Technical certification in multiple technologies is desirable.

Skills: -

Mandatory skills

· Programming & Development Python (Expert level) Object-Oriented Programming (OOP) REST API Development Microservices Architecture Git / GitHub Agentic AI & Generative AI Agent Development Kit (ADK) Agentic AI solutions Multi-Agent Systems

· Prompt Engineering LLM Integration (Gemini, OpenAI, Claude, etc.) Tool Calling and Function Calling AI Agent Orchestration Frameworks Google Cloud Platform (GCP) Vertex AI Cloud Run Cloud Functions Cloud Storage Pub/Sub BigQuery IAM Monitoring & Logging Cloud Build Infrastructure & DevOps Terraform CI/CD Pipelines Docker Kubernetes (GKE) Infrastructure as Code (IaC) Testing & Operations Unit Testing Integration

· Testing Debugging & Troubleshooting

Skills

GenAI, AgenticAI, Python, ADK, VertexAI, Cloud

VeeRteq Solutions is an Equal Opportunity Employer