Data & AI Engineer

Arizent

Data & AI Engineer shaping AI utilization and data strategies at Arizent for business advancement. Building and deploying solutions, maintaining pipelines, and collaborating across functional teams.

Posted 5/18/2026full-timeNew York City • New York • 🇺🇸 United StatesJunior💰 $100,000 - $125,000 per yearWebsite

Tech Stack

Tools & technologies

BigQueryCloudETLPythonSQL

About the role

Key responsibilities & impact

Build and deploy agentic solutions on Google Gemini and Claude, ranging from no-code/low-code workflows to multi-agent systems built with Agent Development Kit (ADK).
Partner with teams across Arizent to identify use cases where agents can address real business needs.
In collaboration with the Data & AI team, develop the full lifecycle from solution mapping to building, testing, agent training, and end-user enablement.
Maintain and continuously test deployed agents to ensure reliability, accuracy, and performance over time.
Collaborate with internal stakeholders and vendors to forecast and measure the impact of agentic solutions, including cost savings, time savings, and quality improvements.
Support the Senior Manager of Data & AI in maintaining our BigQuery data warehouse following established workflows and governance practices.
Design, build, and manage ETL pipelines integrating Omeda, Salesforce, Google Analytics, and third-party services.
Troubleshoot site traffic tracking and data collection issues across Google Analytics, Omeda, Piano, and Salesforce to preserve data integrity.

Requirements

What you’ll need

1+ years of experience in a data engineering, analytics engineering, and/or AI/ML engineering role.
Proficiency in SQL and Python.
Hands-on experience building agentic solutions, including prompt engineering, tool/function calling, and deploying agents in production using platforms like Google Gemini, Claude, or comparable LLM ecosystems.
Experience designing and building ETL pipelines and integrating multiple data sources.
Strong working knowledge of the Google Cloud ecosystem, especially BigQuery.
Dashboarding experience with Data Studio or a comparable BI tool.
Demonstrated ability to collaborate cross-functionally and translate business needs into technical solutions.
Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders.
Experience with Agent Development Kit (ADK) or other multi-agent orchestration frameworks.

Benefits

Comp & perks

Medical, dental, and vision coverage
Disability and life insurance
Paid vacation, sick, personal, and mental health days
Parental leave and holiday pay
401(k) program
Pretax transportation benefits
Fitness reimbursement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLPythonETLagentic solutionsprompt engineeringtool/function callingBigQuerydata engineeringanalytics engineeringAI/ML engineering

Soft Skills

collaborationcommunicationcross-functional teamworktechnical translationproblem-solving