Google Cloud AI Engineer - USA

Cogniify, Inc.; Northern (KY); Hybrid; USD 120,000 - 150,000; Full time

Benefits offered by this job

Unlimited PTO

Generous parental leave

Employer Stock Purchase Program (ESPP)

Medical, Dental and Vision coverage

Disability & Life insurance

Mental health and wellbeing support

Yearly Team building experiences

Mentorship and sponsorship

Job summary

Cogniify, Inc. is seeking a Google Cloud AI Engineer to build and deploy Generative AI applications and AI agents that work with real business data. You will use Vertex AI, Python and BigQuery to take solutions from design to production.

Hands-on experience with production AI on GCP, strong Python and SQL skills, and secure access to enterprise data are essential for delivering practical AI solutions and collaborating with engineering and business teams.

Qualifications

• Hands-on experience building and deploying Generative AI on Google Cloud Platform (GCP).
• Strong Python and advanced SQL skills, with direct experience using BigQuery.
• Experience with Vertex AI, including deployment, pipelines, or model evaluation.
• Experience integrating AI applications with enterprise data while maintaining security and access.

Responsibilities

• Build and deploy AI agents using Vertex AI Agent Builder and Google’s Agent Development Kit (ADK), including multi-agent workflows.
• Connect AI applications to BigQuery and other enterprise databases through secure APIs and tools, including MCP where appropriate.
• Develop retrieval-augmented generation (RAG) and grounding workflows that help agents answer questions using relevant business data.
• Write Python services and BigQuery SQL for data preparation, feature engineering and AI applications.
• Train, evaluate and deploy models on Vertex AI, including serving models through Vertex AI endpoints.
• Use Google Cloud Storage and, where needed, Dataflow or Apache Beam to support data pipelines and real-time inference.
• Test AI output quality, troubleshoot production issues and protect sensitive data, including personally identifiable information (PII).
• Work with stakeholders to understand requirements, explain technical decisions and deliver practical solutions.

Skills

Generative AI on GCP

Python

BigQuery

Vertex AI

API integration

Tools

Vertex AI Agent Builder

Agent Development Kit (ADK)

Dataflow

Apache Beam

Job description

Cogniify is hiring a Google Cloud AI Engineer to build and deploy Generative AI applications and AI agents that work with real business data. In this hands‑on role, you will use Vertex AI, Python and BigQuery to take solutions from design to production.

We are looking for an engineer who has built production AI or machine learning applications, can connect them securely to enterprise data, and enjoys working with both engineering teams and business stakeholders.

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.

Connect AI applications to BigQuery and other enterprise databases through secure APIs and tools, including MCP where appropriate.

Develop retrieval‑augmented generation (RAG) and grounding workflows that help agents answer questions using relevant business data.

Write Python services and BigQuery SQL for data preparation, feature engineering and AI applications.

Train, evaluate and deploy models on Vertex AI, including serving models through Vertex AI endpoints.

Use Google Cloud Storage and, where needed, Dataflow or Apache Beam to support data pipelines and real‑time inference.

Test AI output quality, troubleshoot production issues and protect sensitive data, including personally identifiable information (PII).

Work with stakeholders to understand requirements, explain technical decisions and deliver practical solutions.

What We Are Looking For

Hands‑on experience building and deploying Generative AI, agentic AI, RAG or machine learning applications on Google Cloud Platform (GCP).

Practical experience with Vertex AI, such as Agent Builder, model deployment, pipelines or model evaluation.

Strong Python and advanced SQL skills, with direct experience using BigQuery.

Experience with Google Cloud Storage and production model serving through Vertex AI endpoints.

Ability to integrate AI applications with enterprise data while managing security and access.

Ownership of delivery, from understanding the problem through deployment and troubleshooting.

Preferred Experience

Google ADK, MCP Toolbox for Databases, Spanner, AlloyDB or BigQuery vector search.

Dataflow or Apache Beam for streaming data pipelines and real‑time inference.

AI or data projects in financial services or retail.

PII masking, privacy controls or compliance requirements for sensitive data.

Perks And Benefits Of Working With Us

Unlimited PTO.

Please ask us about our very generous parental leave, much above industry standards!.

Entrepreneurial culture where pushing limits and taking risks is everyday business.

Open communication with management and company leadership.

Small, dynamic teams = massive impact.

Medical, Dental and Vision coverage for employees.

Access to Disability & Life insurance.

Mental health and wellbeing support

Employer Stock Purchase Program (ESPP)

Yearly Team building experiences

Mentorship and sponsorship opportunities

Manager resources and support

We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other protected characteristic.