Summary
✨ AI‑Generated
A hands-on AI engineering opportunity focused on building production-grade Generative AI applications, intelligent agents, and machine learning solutions in a major cloud environment. You will work with enterprise data, retrieval-augmented generation, embeddings, vector search, secure integrations, deployment, evaluation, and production support.
Highlights
Hands-on AI engineering role with end-to-end ownership of production Generative AI applications, AI agents, machine learning solutions, evaluation, deployment, and production support.
Description
About the Role
Cogniify is hiring a Google Cloud AI Engineer to build and deploy production Generative AI applications, AI agents and machine learning solutions on Google Cloud Platform (GCP).
You will work with Vertex AI, Python and BigQuery to develop applications that connect securely to enterprise data and solve practical business problems.
This is a hands-on engineering role with ownership from solution design through deployment, evaluation and production support.
If you have experience delivering AI applications on GCP and enjoy working with engineering teams and business stakeholders, we would like to hear from you.
What You Will Do
Build and deploy AI agents using Vertex AI Agent Builder and Google’s Agent Development Kit (ADK), including multi-agent workflows.Develop retrieval-augmented generation (RAG), grounding, embeddings and vector search workflows using business data.Integrate AI applications with BigQuery and enterprise databases through secure APIs and tools, including Model Context Protocol (MCP) where appropriate.Develop Python services and write advanced BigQuery SQL for data preparation, feature engineering and AI applications.Train, evaluate and deploy machine learning models on Vertex AI, including production serving through Vertex AI endpoints.Use Google Cloud Storage and, where needed, Dataflow or Apache Beam to support data pipelines and real-time inference.Evaluate AI output quality, monitor application performance and troubleshoot production issues.Implement access controls and protect sensitive data, including personally identifiable information (PII).Work with stakeholders to understand requirements, explain technical decisions and deliver reliable solutions.
Required Qualifications
Hands-on experience building and deploying Generative AI, agentic AI, RAG or machine learning applications on Google Cloud Platform.Practical experience with Vertex AI, including model deployment, evaluation, pipelines or Agent Builder.Strong Python programming and advanced SQL skills.Direct experience using BigQuery and Google Cloud Storage.Experience deploying and supporting models through Vertex AI endpoints.Ability to integrate AI applications with enterprise data using secure APIs and appropriate access controls.Experience taking solutions from development into production and resolving deployment or application issues.Clear communication skills and the ability to work with technical and business stakeholders.
Preferred Qualifications
Experience with Google ADK and multi-agent orchestration.Familiarity with MCP or MCP Toolbox for Databases.Experience with BigQuery vector search, Spanner or AlloyDB.Experience with Dataflow or Apache Beam for streaming pipelines and real-time inference.Experience delivering AI or data solutions in financial services or retail.Familiarity with PII masking, privacy controls and sensitive-data requirements.
How to Apply
Apply through this job listing with your updated resume.
Please highlight your experience with Google Cloud, Vertex AI, Python and BigQuery, including AI applications you have deployed to production.
Cogniify is an equal opportunity employer.
All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or any other protected characteristic.
