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Ford Motor Company

GCP Cloud Engineer

Ford Motor Company

GCP Engineer specializing in Agentic AI technologies to design and maintain scalable AI platforms on Google Cloud. Working across the AI lifecycle from pipeline to infrastructure management.

Posted 4/13/2026full-timeChennai • 🇮🇳 IndiaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
BigQueryCloudDockerGoogle Cloud PlatformOpenShiftPythonTerraform

About the role

Key responsibilities & impact
  • Design and manage end-to-end AI agent build pipelines using Vertex AI Pipelines
  • Automate data ingestion, feature engineering, training, evaluation, and deployment workflows
  • Implement reproducible experiments and pipeline versioning
  • Work with BigQuery for large-scale analytics and training datasets
  • Manage datasets and artifacts in Google Cloud Storage
  • Implement data lineage tracking for traceability and governance
  • Implement Infrastructure as Code (IaC) using Cloud Build, Terraform, or similar tools for provisioning and managing GCP resources
  • Build CI/CD pipelines for AI agent training and deployment
  • Manage source control and collaboration using Git
  • Containerize AI workloads using Docker
  • Deploy batch and real-time Agent builds using Cloud Run Services, Cloud Run Jobs, or Openshift cluster/GKE (if applicable)
  • Implement deployment strategies such as blue-green, canary, and rollback
  • Build and deploy LLM-powered applications
  • Implement Retrieval-Augmented Generation (RAG) pipelines
  • Integrate and manage Vector Databases for embeddings and semantic search
  • Implement AI agent/model lineage tracking and versioning
  • Monitor AI agent/model performance, drift, and data quality in production
  • Set up alerting and dashboards for AI agent/model health
  • Design and manage secure, scalable, and cost-effective GCP infrastructure components
  • Implement and enforce security best practices and IAM policies
  • Proactively monitor and optimize GCP resource utilization and costs
  • Troubleshoot and resolve infrastructure-related issues impacting AI workloads
  • Develop production-grade AI agent services using Python or other relevant languages
  • Package reusable AI components and libraries using PyPI or other appropriate methods
  • Follow best practices for code quality, testing, and documentation

Requirements

What you’ll need
  • Bachelor's Degree or equivalent
  • Strong experience with GCP services (Vertex AI, BigQuery, GCS, Cloud Run, GKE, Compute Engine, Cloud Networking)
  • Solid understanding of AI algorithms and training workflows
  • Hands-on experience with LLMs, RAG, and vector search systems
  • Proficiency in Docker, Git, and CI/CD pipelines
  • Strong Python programming skills
  • Experience with infrastructure as code tools like Terraform or Cloud Deployment Manager
  • Experience with data and AI agent/model lineage
  • Knowledge of AI agent/model monitoring, drift detection, and observability
  • Understanding of scalable AI agent deployment patterns
  • Strong understanding of GCP security principles, IAM, and network security
  • Experience with feature stores (Good to Have)
  • Familiarity with MLflow or similar experiment tracking tools (Good to Have)
  • Experience with cost optimization on cloud platforms (Good to Have)

Benefits

Comp & perks
  • 🌐 Worldwide Post a Job Affiliates ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs Account Ford Motor Company Website LinkedIn All Job Openings 10,000+ employees Founded 1903 🚗 Transport 💰 Post-IPO Debt on 2023-08 Transport
  • Manufacturing
  • Sustainability Ford Motor Company is a globally renowned automotive company based in the United States, established by Henry Ford. The company is committed to building a better world where every individual has the freedom to move and follow their dreams. Ford is dedicated to innovation, with a focus on services, experiences, and software alongside its traditional vehicle manufacturing. The company is actively involved in sustainability initiatives and aims to meet ambitious environmental targets. Ford values service, community impact, and strives to combine business success with social and environmental responsibility. With a rich history of over 121 years, Ford continues to adapt and lead in the evolving automotive landscape. GCP Cloud Engineer 🔥 1 hour ago 🏢🏡 Chennai – Hybrid ⏰ Full Time 🟡 Mid-level 🟠 Senior ☁️ Cloud Engineer BigQuery Cloud Docker Google Cloud Platform OpenShift Python Terraform Apply Now Find Hiring Managers Customize resume for this job ☆ Save ☑️ Mark as applied ❌ Hide Report problem 📋 Description
  • Design and manage end-to-end AI agent build pipelines using Vertex AI Pipelines
  • Automate data ingestion, feature engineering, training, evaluation, and deployment workflows
  • Implement reproducible experiments and pipeline versioning
  • Work with BigQuery for large-scale analytics and training datasets
  • Manage datasets and artifacts in Google Cloud Storage
  • Implement data lineage tracking for traceability and governance
  • Implement Infrastructure as Code (IaC) using Cloud Build, Terraform, or similar tools for provisioning and managing GCP resources
  • Build CI/CD pipelines for AI agent training and deployment
  • Manage source control and collaboration using Git
  • Containerize AI workloads using Docker
  • Deploy batch and real-time Agent builds using Cloud Run Services, Cloud Run Jobs, or Openshift cluster/GKE (if applicable)
  • Implement deployment strategies such as blue-green, canary, and rollback
  • Build and deploy LLM-powered applications
  • Implement Retrieval-Augmented Generation (RAG) pipelines
  • Integrate and manage Vector Databases for embeddings and semantic search
  • Implement AI agent/model lineage tracking and versioning
  • Monitor AI agent/model performance, drift, and data quality in production
  • Set up alerting and dashboards for AI agent/model health
  • Design and manage secure, scalable, and cost-effective GCP infrastructure components
  • Implement and enforce security best practices and IAM policies
  • Proactively monitor and optimize GCP resource utilization and costs
  • Troubleshoot and resolve infrastructure-related issues impacting AI workloads
  • Develop production-grade AI agent services using Python or other relevant languages
  • Package reusable AI components and libraries using PyPI or other appropriate methods
  • Follow best practices for code quality, testing, and documentation 🎯 Requirements
  • Bachelor's Degree or equivalent
  • Strong experience with GCP services (Vertex AI, BigQuery, GCS, Cloud Run, GKE, Compute Engine, Cloud Networking)
  • Solid understanding of AI algorithms and training workflows
  • Hands-on experience with LLMs, RAG, and vector search systems
  • Proficiency in Docker, Git, and CI/CD pipelines
  • Strong Python programming skills
  • Experience with infrastructure as code tools like Terraform or Cloud Deployment Manager
  • Experience with data and AI agent/model lineage
  • Knowledge of AI agent/model monitoring, drift detection, and observability
  • Understanding of scalable AI agent deployment patterns
  • Strong understanding of GCP security principles, IAM, and network security
  • Experience with feature stores (Good to Have)
  • Familiarity with MLflow or similar experiment tracking tools (Good to Have)
  • Experience with cost optimization on cloud platforms (Good to Have) Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Senior Cloud Engineer 🕒 2 days ago Cprime, Inc 501 - 1000 ☁️ SaaS 🏢 Enterprise Website LinkedIn All Job Openings Senior Cloud Engineer designing, building, and operating secure AWS platforms for Cprime. Requires deep expertise in AWS services, DevOps practices, and cloud operations. 🏢🏡 Chennai – Hybrid ⏰ Full Time 🟠 Senior ☁️ Cloud Engineer AWS Cloud Docker EC2 Grafana Jenkins Kubernetes Microservices Prometheus Python Terraform Azure Cloud Architect 🕒 March 18 Volante Technologies 501 - 1000 💳 Fintech ☁️ SaaS Website LinkedIn All Job Openings Cloud Architect managing cloud infrastructure for financial services at Volante Technologies in Chennai. Focusing on design, support, and continuous improvement of cloud solutions. 🏢🏡 Chennai – Hybrid 💰 Convertible note on 2024-02 ⏰ Full Time 🟠 Senior 🔴 Lead ☁️ Cloud Engineer AWS Azure Cloud DNS Firewalls Linux Terraform Cloud Engineer III 🕒 March 8 Pearson VUE 1001 - 5000 📚 Education 🛍️ eCommerce ☁️ SaaS Website LinkedIn All Job Openings Cloud Engineer designing and implementing continuous delivery governance frameworks across multiple cloud services. Ensuring security and speed while improving cloud estate management. 🏢🏡 Chennai – Hybrid ⏰ Full Time 🟡 Mid-level 🟠 Senior ☁️ Cloud Engineer Ansible Cloud Python Terraform Go Senior Tech Specialist - Cloud Engineering 🕒 June 18, 2025 Brillio 1001 - 5000 🤖 Artificial Intelligence 🔒 Cybersecurity Website LinkedIn All Job Openings Seeking a Cloud Engineer with Azure and AWS experience for a digital infrastructure team. 🏢🏡 Chennai – Hybrid 💰 Private Equity Round on 2019-01 ⏰ Full Time 🟠 Senior ☁️ Cloud Engineer AWS Azure Cloud Kubernetes Linux Python View More Cloud Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs

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Hard Skills & Tools
PythonAI algorithmsCI/CD pipelinesDockerTerraformVertex AIBigQueryGCSCloud RunLLMs
Certifications
Bachelor's Degree