Long-Term Contract - W2 Mandatory skills: Master-level ADK and full-stack data engineering Job Description Role Summary Owns hands-on deployment, integration, and stabilization of AI agents in Intel's environment. Acts as the full-stack data / ADK engineer with master-level grasp of complex ADK builds and Finance/HR workflows, bridging engineering and operations to accelerate go-live and adoption. Key Responsibilities Deploy agents to Gemini Enterprise Agent Engine, Cloud Run, or GKE with IAM, VPC-SC, and Model Armor. Build and maintain CI/CD pipelines, environment configuration, and secrets management. Integrate complex ADK agents with enterprise data sources and Finance/HR workflows. Troubleshoot integration, performance, and reliability issues; enable observability and tracing. Drive early adoption, feedback loops, and rapid iteration with Intel users; lead hypercare/stabilization. Mandatory (Must-Have) Skills Master-level ADK and full-stack data engineering skills. Complex Finance/HR workflow knowledge and enterprise integration. Strong Python; hands-on GKE, Cloud Run, Agent Engine, Terraform, Cloud Build/Deploy. Google Cloud IAM, VPC-SC, and security controls. Preferred (Good-to-Have) Skills Data extraction/normalization from Databricks, ServiceNow, Snowflake, OneDrive, Adobe. Vertex AI, observability tooling, SRE practices. Customer-facing deployment experience. Experience & Certifications 7+ years DevOps/SRE/cloud engineering with 1+ year GenAI deployments. Google Cloud Professional certification preferred. FDE (Forward Deployed Engineer)2("AI
ENGINEER
" OR "
AI/ML ENGINEER
" OR "
FORWARD DEPLOYED ENGINEER
") AND ("GOOGLE CLOUD"
OR VPC-SC OR
Google Cloud Platform) AND (GKE OR "
GOOGLE KUBERNETES ENGINE
") AND (GEMINI) AND ("AGENT ENGINE"
OR ADK OR
"
AGENT DEVELOPMENT KIT
")N/AC2C,W-2,1099,C2H,Part Time,Full Time,Other,Intern,Pass Through,Contract,SOLUTIONS,Hourly,Contract to Perm,W2,W2 - Profit Sharing,Sub-con,Permanent,Full TImeUnited States