Data and AI Engineer is a AI Agent Engineer role (full-time). with Arizent. in REMOTE, NEW YORK, US. Compensation shown: $100K–$125K. Imported listing (source: remotefront.com). Apply on the employer's site (remotefront.com).
Imported listing (source: remotefront.com) · Apply on remotefront.com
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Imported job description
Sourced from remotefront.com
Arizent is seeking a Data & AI Engineer to build and deploy AI, data, and agentic solutions on Google Gemini and Claude, while maintaining data pipelines in BigQuery. The role focuses on creating multi-agent systems, improving data quality, and enabling self-service analytics across Sales, Marketing, Editorial, and Finance teams. This is a remote position open to candidates across the US.
Responsibilities
Build and deploy agentic solutions on Google Gemini and Claude, from no-code workflows to multi-agent systems using Agent Development Kit (ADK).
Partner with teams to identify agent use cases and manage the full lifecycle: solution mapping, building, testing, training, and end-user enablement.
Maintain and test deployed agents for reliability, accuracy, and performance over time.
Support BigQuery data warehouse maintenance and design/build ETL pipelines integrating Omeda, Salesforce, Google Analytics, and third-party services.
Set up scheduled queries and build alerts/monitoring dashboards to ensure data quality and reliability.
Collaborate with leadership to develop internal and client-facing dashboards in Data Studio that provide clear KPIs.
Requirements
1+ years of experience in a data engineering, analytics engineering, and/or AI/ML engineering role.
Arizent is a business information and marketing services company that serves the financial and professional services sectors. It provides news, insights, market research, and networking opportunities to help industry professionals advance their careers and businesses.
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.
Nice to Have
Familiarity with Matillion or comparable ETL/ELT tooling.
Experience with Omeda, Salesforce, Piano, or similar marketing/audience platforms.
Prior experience in media, publishing, or B2B information services.
Experience designing data models and warehouse schemas from scratch.
Benefits
Health insurancedental insurancevision insurancelife insurancepaid time offParental leave401kcommuter benefitswellness stipend
Tech Stack
Agent Development KitClaudeETLGoogle AnalyticsGoogle BigQueryGoogle CloudGoogle GeminiMatillionPythonSalesforceSQL
