Agentic AI Engineer
Agentic Ai
Agentic Ai Orchestration
Artificial Intelligence
Cloud
Cloud Native
Cloud Platforms
Data Analysis
Data Engineer
Data Integration
Data Pipeline
Data Platform
Data Processing
Databases
Engineer
ETL
Generative AI
Google Cloud
Google Cloud Platform
Informatica
Integration
Machine Learning
Programming
Rag Architectures
SQL
Vertex Ai
Job Description
In this hybrid role, you will design and build agentic AI systems that automate business processes and support end-to-end problem solving. The position focuses on implementing solutions on Google Cloud, including Vertex AI-based agent development, RAG and vector search, and production data pipelines.
Key Responsibilities
- Build intelligent AI agents using Vertex AI Agent Builder and ADK to automate business processes.
- Develop and manage multi-agent systems for end-to-end problem solving.
- Integrate AI agents with enterprise data sources, including BigQuery and Cloud Spanner, using MCP Toolbox.
- Design and optimize AI/ML solutions on Vertex AI, covering model training, tuning, deployment, and evaluation.
- Build real-time and batch data pipelines using Dataflow and Vertex AI Endpoints.
- Implement RAG and vector search solutions using BigQuery Vector Search or AlloyDB.
Required Qualifications
- Strong experience with Vertex AI, Vertex AI Agent Builder, Model Garden, and Vertex AI Pipelines.
- Proficiency in Python and SQL (BigQuery), along with data preprocessing techniques.
- Hands-on experience with GCP, including BigQuery, Cloud Storage, Vertex AI Endpoints, and Cloud Spanner.
- Knowledge of multi-agent systems, agentic architectures, and real-time processing.
Technologies
- Vertex AI, Vertex AI Agent Builder, ADK
- MCP Toolbox
- BigQuery, Cloud Spanner
- Vertex AI Pipelines, Model Garden
- Python, SQL (BigQuery)
- GCP, Cloud Storage, Vertex AI Endpoints
- Dataflow
- RAG, BigQuery Vector Search, AlloyDB
Compensation
USD 68,911 - 161,544 per year.
Location
Nashville, TN (Hybrid). This position is a hybrid role based out of Chicago, Atlanta, Nashville, Dallas, New Jersey.
Benefits
- Paid time off based on employee grade (A-F): Vacation 12-25 days, Company paid holidays, Personal Days, Sick Leave
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
Preferred Qualification
- Experience in Financial Services or Retail domains.
- Familiarity with credit risk, forecasting, search/recommendation systems, and AI governance.
- Knowledge of PII protection, data masking, and compliance standards.
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