Apply Now

Google Cloud Platform Cloud VerteX AI (Gemini) Engineer

Phoenix, AZ, US • Posted 1 day ago • Updated 1 day ago

Contract W2

Contract Corp To Corp

No Travel Required

On-site

Depends on Experience

Fitment

Dice Job Match Score™

👾 Reticulating splines...

Job Details

Skills

gemini (Vertex AI)
Terraform
GCP
CI/CD

Summary

Title: Google Cloud Platform Cloud Vertex AI (Gemini) Engineer
Location: Hybrid/Onsite - Phoenix, AZ 85054
Duration: 7 months

Job Description/ Responsibilities:

Hands-on engineering experience in cloud-native platforms and modern application architectures.

Core Technical Skills:
Generative AI:

Strong hands-on experience building and deploying GenAI solutions on Google Cloud Platform (Vertex AI)

Cloud Platforms:

Expertise in Google Cloud Platform, with deep understanding of cloud-native services.

Cloud Networking & Security:

Strong foundation in cloud networking, third party connectivity, IAM, and network security best practices.

Infrastructure as Code (IaC):

Hands-on experience using Terraform or equivalent IaC tools for provisioning and managing cloud infrastructure.

CI/CD & Automation:

Good experience in designing and maintaining CI/CD pipelines using GitHub Actions (or similar tools).

DevOps & Platform Engineering:

Experience supporting scalable, secure, and production-grade cloud platforms.

Top 3 skills:

Google Cloud Platform Vertex & Core Services
CI/CD Pipelines
Terraform

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10119021
Position Id: 8954019
Posted 1 day ago

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

AI Engineer

Phoenix, Arizona

•

Today

AI Engineer Phoenix, AZ (Onsite, W2)TechniPros is seeking a skilled AI Engineer with strong experience in LLMs and modern AI frameworks for an onsite role in Phoenix, AZ. Note: W2 employment only, no C2C.Why Join Us?Work with cutting-edge AI technologies and large language modelsCollaborate with innovative teams building scalable AI solutionsOnsite opportunity in vibrant Phoenix, AZCompetitive W2 compensation starting at $50/hrKey ResponsibilitiesDesign and implement AI solutions using Transfor

Easy Apply

Contract, Third Party

Depends on Experience

Google Cloud Platform Architect

Phoenix, Arizona

•

21d ago

P1C3TSTSSeeking a highly experienced Google Cloud Platform Data Platform Architect to lead the strategy, architecture, and governance of enterprise-scale data platforms on Google Cloud. This role will define the target-state architecture for analytics, data governance, and lakehouse environments leveraging BigQuery, Dataplex, and broader Google Cloud Platform data services.Define and implement enterprise-wide Google Cloud Platform data platform architecture centered on BigQuery and Dataplex.Esta

Easy Apply

Third Party, Contract

Depends on Experience

Senior Engineer CCaaS (Five9 / Google Cloud Platform / AWS Connect)

Phoenix, Arizona

•

Today

Role: Senior Engineer - CCaaS (Five9 / Google Cloud Platform / AWS Connect) Location: Phoenix, AZ - onsite Role Descriptions: Candidate must have Deep knowledge of Google CCAI| AWS Connect or Five9 data ecosystem Design and implement scalable CCaaS and IVA solutions leveraging Google Cloud and Google CX(Dialogflow CX)| including conversational IVR design| NLUNLP modeling| intent and floworchestration| webhook integrations| speech-to-texttext-to-speech| and seamless integration withFive9 and en

Easy Apply

Full-time, Part-time, Third Party, Contract

Senior AI Developer

Phoenix, Arizona

•

Today

Job Title: : Senior AI Developer Location: Phoenix, AZ (Day 1 onsite Hybrid 3 days a week in office) Duration: Long Term Contract Key Responsibilities: Lead the design, development, and testing of full stack (frontend, backend, API) Python applications. Design and implement GenAI applications using Retrieval-Augmented Generation (RAG) in production settings. Build and optimize document ingestion pipelines and document processing workflows utilizing vector databases (e.g., MongoDB Atlas). Manage

Easy Apply

Third Party, Contract

Depends on Experience

Search all similar jobs