[Remote] Data & AI Engineer

Note The job is a remote job and is open to candidates in USA. Arizent is a business information company that empowers professional communities by providing insights, analysis, and opportunities to connect. We are looking for a Data & AI Engineer to help accelerate adoption of AI and shape how Arizent uses data and AI across our business, building and deploying AI solutions and maintaining data pipelines. Responsibilities 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, you will 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 (Reach Marketing, Discovery, Bombora, and others) Set up and manage scheduled queries to keep dashboards and downstream systems current Support audience enrichment, lead and contact enrichment, and internal/external reporting workflows Troubleshoot site traffic tracking and data collection issues across Google Analytics, Omeda, Piano, and Salesforce to preserve data integrity Build alerts and monitoring dashboards that surface tracking issues before they affect reporting Working closely with Data & AI team leadership to develop and maintain internal and client-facing dashboards in Data Studio that give stakeholders clear views of their KPIs Skills 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 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 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 Company Overview Arizent is a business information company empowering people in financial and professional services to lead. It was founded in 2004, and is headquartered in New York, New York, USA, with a workforce of 201-500 employees. Its website is https//www.arizent.com/working-with-us. Apply To This Job