Marketing AI Engineer (Full-Time, 4 Month Contract )

Sunnyvale, CA (Remote)

Salary Not AvailableMid LevelFull time

Posted 2 months ago

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Job Summary

Own the marketing AI operating system by driving a steady backlog cadence, defining role-based AI goals, and building reliable MCP connectors with governance that scales across teams.

  • Backlog Delivery: steady milestones balancing strategy and short-term needs.
  • Agentic Workflow Design: create and refine automated marketing workflows across disciplines.
  • MCP Connector Development: ensure reliable integrations and optimized performance across apps.

Job Description

- Backlog Delivery Deliver a steady cadence of milestones from marketing's AI-first backlog, balancing both strategic longer-term projects and tactical short-term priorities. - Role-Based AI Goals Help define and track role-based AI utilization goals across the marketing organization, ensuring measurable progress and accountability. - MCP Connector Development Manage the development and maintenance of MCP connectors across different marketing applications, ensuring reliable integrations and optimized query performance for each connector. - Skills & Governance Set up centralized AI-based “skills” and governance frameworks for marketing AI usage, establishing standards and guardrails for how the team interacts with AI tools and for the Azul as a whole to adhere to marketing standards. - Enablement & Office Hours Lead enablement efforts and host daily office hours to support the marketing team with troubleshooting, onboarding to new tools, and answering questions. - Best Practice Sharing Share best practices across the team on Skills, Prompts, and Agentic workflows, fostering a culture of continuous AI learning and improvement. - Agentic Workflow Design Design, build, and iterate on agentic AI workflows that automate and accelerate marketing processes across all marketing disciplines. - RAG Customization Explore and implement Retrieval-Augmented Generation (RAG) customization where applicable to enhance the relevance and accuracy of AI outputs — nice to have.
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Azul

Azul provides the world's most trusted Java platform, founded on open source and delivered by the world's largest independent Java engineering team, and is the only company 100% focused on Java. Millions of Java developers, hundreds of millions of devices and the world’s most highly regarded businesses trust Azul to power their applications with exceptional capabilities, performance, security, value, and success. Azul customers include 36% of the Fortune 100, 50% of Forbes top 10 World’s Most Valuable Brands, 10 of the world’s top 10 banks and leading brands like Avaya, Bazaarvoice, BMW, Deutsche Telekom, LG, Mastercard, Mizuho, Priceline, Salesforce, Software AG, and Workday. https://www.azul.comX: @azulsystemsBluesky: @azulsystems.bsky.socialFacebook: https://www.facebook.com/AzulSystemsIncTrademarked - Azul, Zing, Zulu, Zulu Enterprise, ReadyNow are either registered trademarks or trademarks of Azul Systems Inc., registered in the U.S. and elsewhere. All other trademarks belong to their respective owners.

Founded in 2002
Sunnyvale, California, USA
567 employees (32 in marketing)