Access Control, Amazon Web Services (AWS), Artificial Intelligence (AI), Automation, Best Practices, Cloud Computing, Communication Skills, Continuous Deployment/Delivery, Continuous Integration, DevOps, GCP (Good Clinical Practices), GitHub, Identify Issues, Network Connectivity, Network Security, Network Support, Public Cloud, Scalable System Development
Location: Phoenix, AZ, USA (Hybrid / Onsite as needed)
Employment Type: Long Term Contract
Experience: 6+ Years
Job Summary
We are looking for a hands-on GCP GenAI Engineer with strong experience in building Generative AI solutions on Google Cloud Platform. The ideal candidate should bring deep expertise in Vertex AI (or AWS Bedrock as a strong alternative) along with a solid foundation in cloud infrastructure, networking, security, and DevOps automation.
The candidate should be well versed with public cloud, cloud networking, IAM, third-party connectivity, and network security fundamentals.
This role is ideal for someone who can work independently and build scalable, secure, and production-ready GenAI solutions.
Key Responsibilities- Design and implement Generative AI solutions using Vertex AI / GCP
- Build and deploy LLM-powered applications and AI workflows
- Develop infrastructure using Terraform / IaC
- Support cloud networking, IAM, and secure connectivity
- Work on third-party integrations and private/public connectivity
- Implement and optimize GitHub Actions CI/CD pipelines
- Ensure cloud security, access controls, and governance best practices
- Collaborate with engineering and platform teams for deployment automation
- Troubleshoot performance, connectivity, and security issues
Required Skills- Strong hands-on GCP
- Vertex AI / GenAI / LLM deployment
- Terraform / Infrastructure as Code
- Cloud Networking
- IAM
- Third-party connectivity
- Network Security fundamentals
- GitHub Actions / CI-CD
- DevOps automation
- Strong communication skills
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CrackaJack Digital Solutions LLC