> Markdown version of [/jobs/ext/88582-senior-ai-platform-engineer](https://www.wearedevelopers.com/jobs/ext/88582-senior-ai-platform-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior AI Platform Engineer

- **Company:** VeeRteq Solutions Inc
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Application Performance Management, Cloud Computing, Cloud Engineering, Code Generation, Continuous Integration, Data Validation, Extract Transform Load (ETL), DevOps, Github, Identity and Access Management, Python (Programming Language), Key Management, Role-Based Access Control, Release Management, Security Information and Event Management, Software Deployment, Software Engineering, Data Streaming, Data Logging, Google Cloud, Software Modules, Performance Testing, Chatbots, Large Language Models, Infrastructure as Code (IaC), Build Server, AI Platforms, Infrastructure Automation Frameworks, Google Cloud Functions, Machine Learning Operations, Virtual Agents, Asynchronous Programming, Terraform, Api Management, Serverless Computing
- **Published:** May 21, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=203fe9494fee05bd

## About the Role

Do you have experience in Tooling?, Required
5+ years in platform or cloud engineering, with 3+ years on GCP.
Hands-on experience building AI/ML
pipelines and agentic API integrations.
Proficiency with Terraform for enterprise IaC
module development.
Strong Python development skills for API and
agent implementation.
Experience with RAG pipeline
implementation and LLM API integration.
Hands-on CI/CD pipeline development
(GitHub Actions, Cloud Build, or equivalent).
Experience with Cloud Run, GCP networking,
IAM, and Cloud Logging.
Preferred
GCP Professional DevOps or Cloud Developer certification.
Experience with event streaming platforms
(Pub/Sub,).
Prior integration work with enterprise
chatbots or service agent platforms.
Familiarity with tfsec, tflint, and Terraform
policy enforcement tooling.
Experience implementing secrets
management (GCP Secret Manager).
Exposure to performance testing and
production readiness validation in regulated
environments.
Key Deliverables Ownership:
AI agent implementation
REST/gRPC API layer
RAG pipeline & ETL
Terraform IaC modules
CI/CD pipelines
GitHub App integration
Cloud Logging & SIEM
Schema validation layer
RBAC & secrets management
Performance & rollback testing
Pilot defect remediation

## Description

The Senior AI Platform Engineer focuses on building and integrating platform capabilities with a strong
emphasis on software engineering, GitHub Actions based CI/CD automation and Terraform-driven
Infrastructure as Code (IaC). The role involves developing scalable, cloud-native services (leveraging
Cloud Run), integrating Agentic AI capabilities using Vertex AI and GCP LLM services, and enabling
event-driven, API-led workflow orchestration on Google Cloud., Build and integrate backend services and APIs (REST/gRPC) to enable platform workflows and
AI-driven interactions.
Develop and integrate AI capabilities using Vertex AI and GCP AI services to support intelligent
automation and workflow execution.
Leverage AI-assisted development tools to accelerate code generation, testing, and delivery of
platform components.
Implement event-driven integrations using GCP services (e.g., Pub/Sub) for reliable,
asynchronous communication across systems.
Design and develop cloud-native applications deployed on Cloud Run for scalable, serverless
execution.
Author and maintain Terraform modules for Infrastructure as Code (IaC), covering networking,
security, and application deployment.
Build and maintain CI/CD pipelines using GitHub Actions for automated application delivery,
infrastructure provisioning, and validation.
Integrate APIs and external systems to enable end-to-end workflow automation and
extensibility.
Implement logging and monitoring using GCP-native services to ensure observability and
operational readiness.
Apply strong understanding of GCP architecture and core services (networking, IAM, compute,
and storage) as a mandatory foundation for all implementations.
Support data validation and schema enforcement to maintain consistency across platform
workflows.
Optimize application performance and AI interactions (prompt tuning) during pilot and
production phases.
Implement security best practices including RBAC and secrets management.
Support testing, release management, and production readiness, including rollback and issue
resolution.


## Related Videos

- [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next)
- [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform)
- [Chatbots are going to destroy infrastructures and your cloud bills](https://www.wearedevelopers.com/videos/1130-chatbots-are-going-to-destroy-infrastructures-and-your-cloud-bills)
- [The Private AI Platform: Why Agentic Apps Need a Private Application Platform](https://www.wearedevelopers.com/videos/100162-the-private-ai-platform-why-agentic-apps-need-a-private-application-platform)
- [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models)
- [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops)

## Related Articles

- [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path)
- [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care)
- [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence)
- [13 AI Tools You Have to Try](https://www.wearedevelopers.com/magazine/219-13-ai-tools-you-have-to-try)