Senior AI Platform Engineer

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.

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