Senior GCP Platform Engineer / Architect (Freelance/Contract) - Agentic ERP Platform - Fully Remote - Anywhere
Location: Remote / Anywhere
Contract Type: Freelance / Independent Contractor
Commitment: Flexible, part-time (0-25 hours per week dependant on customer demand)
Position Summary
We are actively seeking a Senior GCP Platform Engineer / Architect - Agentic ERP Platform
This is a remote, part-time contract opportunity supporting the delivery of next-generation Agentic ERP capabilities on Google Cloud. Work is provided on an as-needed basis, depending on customer demand and project requirements.
Reporting to the VP of Platform Engineering, you will design and build the Google Cloud platform that enables AI agents to securely interact with enterprise ERP systems. This role combines deep GCP expertise with modern AI platform e
ngineering, enterprise integration and cloud architecture.
Essential Responsibilities
GCP AI & Platform Engineering:
Design and implement production AI agents using Vertex AI Agent Builder.
Build retrieval, vector search and knowledge architectures using Vertex AI, BigQuery and Cloud SQL/AlloyDB.
Integrate Gemini and Model Garden models into scalable, model-agnostic solutions.
Implement guardrails using Vertex AI Safety Filters and Model Armor.
Evaluate and adopt new Vertex AI capabilities.
Cloud Architecture:
Design solutions using Cloud Run, GKE, Cloud Functions and Workflows.
Build event-driven architectures with Pub/Sub, Eventarc and Cloud Tasks.
Design secure networking using VPC, Private Service Connect and Cloud Interconnect.
Develop API architectures using Apigee and API Gateway.
Build customer-isolated, multi-project Google Cloud environments.
Infrastructure & Delivery:
Deliver Infrastructure as Code using Terraform and Config Connector.
Design IAM, Workload Identity Federation and Cloud KMS strategies.
Build CI/CD pipelines and deployment automation.
Create reusable Terraform modules and reference architectures.
Support customer deployments and technical architecture reviews.
Required Experience:
8+ years of hands-on Google Cloud engineering experience.
3+ years in a Senior Engineer or Architect role.
Production experience with Vertex AI, Agent Builder or similar AI platforms.
Experience integrating cloud platforms with enterprise applications or ERP systems.
Strong experience designing secure, multi-project Google Cloud environments.
Strong Python development skills.
Required Technical Skills:
Google Cloud: Cloud Run, GKE, Cloud Functions, Compute Engine.
Vertex AI, Model Garden and Agent Builder.
Terraform and Infrastructure as Code.
Kubernetes and container platforms.
IAM, Cloud KMS and Workload Identity Federation.
VPC, Private Service Connect and Cloud Interconnect.
REST APIs, Apigee or API Gateway.
Cloud Monitoring, Logging and Observability.
Git and CI/CD pipelines.
Preferred Experience:
LangChain, Pydantic AI or similar agent frameworks.
BigQuery and AI-enabled analytics.
Vector databases and semantic search.
Java integration experience.
Google Cloud Professional certifications.
SAP, Oracle EBS, JD Edwards or other enterprise ERP platforms.
Experience working within regulated enterprise environments.
Skills & Competencies:
Strong Google Cloud architecture and platform engineering expertise.
Practical understanding of production AI and agentic architectures.
Excellent problem-solving and technical communication skills.
Ability to produce high-quality technical documentation and reference architectures.
Customer-focused with an understanding of enterprise security, governance and compliance.
Self-motivated and effective in a distributed, remote-first environment.
Fluent English, both written and spoken.
Qualifications:
Bachelor's or Master's degree in Computer Science, Engineering or a related discipline.
Active Google Cloud Professional certifications are highly desirable.
Contributions to open-source projects, technical communities or public speaking are advantageous.
TPBN1_UKTJ
Read Less
