AI Engineer, Marketing

Project Management Institute, Inc.; United States; Hybride; USD 140 000 - 190 000; Plein temps

Résumé du poste

Project Management Institute, Inc. is seeking a senior AI Engineer, Marketing to lead the design, development, and operationalization of AI-powered workflows within the marketing organization.

You will own Marketing AI initiatives, partner with Martech and Marketing stakeholders, and deliver production-ready AI capabilities embedded in existing tools and processes. The role covers end-to-end lifecycle from opportunity intake to deployment and measurement, ensuring reliability, observability, and

Qualifications

• Senior-level experience delivering AI-powered systems in enterprise environments.
• Hands-on experience with LLM workflows, RAG, and agentic systems.
• Strong analytics or data engineering background.
• Proven cross-functional marketing and technology partnership skills.

Responsabilités

• Own and drive Marketing AI & Automation backlog to prioritize initiatives.
• Design and build LLM-powered workflows and multi-agent AI systems.
• Deploy AI systems in production with monitoring and evaluation.
• Establish guardrails, human-in-the-loop controls and observability.
• Collaborate with Marketing Ops and Martech to enable AI within tools.
• Document data flows, integrations, and dependencies.

Connaissances

AI systems design

LLM workflows

RAG pipelines

Analytics

Cross-functional collaboration

Communication

Marketing and CRM workflows

Outils

Jira

monday.com

Adobe Analytics

Tableau

Snowflake

SharePoint

Description du poste

How will you make a difference to PMI?

We are seeking a senior-level AI Engineer, Marketing to lead the design, development, and operationalization of AI-powered workflows across the marketing organization. This role serves as the technical owner of Marketing AI and Automation initiatives, partnering closely with Marketing stakeholders and the Martech team to deliver production-ready, scalable AI capabilities embedded within existing tools and processes.

The AI Engineer owns the end-to-end lifecycle of marketing AI solutions—from opportunity intake and backlog management through architecture, deployment, and measurement—ensuring solutions are reliable, observable, and aligned with business outcomes.

What you’ll bring to the role:

AI Product & Backlog Ownership

• Own and manage the Marketing AI & Automation backlog, translating marketing opportunities into prioritized initiatives.
• Partner with Marketing Operations and Martech teams to identify high-impact AI use cases.
• Define success metrics and acceptance criteria for AI solutions.
• Serve as technical owner balancing rapid iteration with production stability.

AI Systems & Agentic Workflow Design

• Design and build LLM-powered workflows and multi-agent AI systems.
• Implement RAG pipelines using enterprise data and knowledge sources.
• Create reusable AI components embedded into existing marketing tools.
• Ensure systems include guardrails, fallback behaviors, and human-in-the-loop controls.

Data Foundation & Platform Enablement

• Build the data foundation required for AI agents across CRM, analytics, and data warehouse environments.
• Enable AI functionality within existing Martech platforms.
• Partner with analytics teams to ensure data quality and accessibility.
• Document data flows, integrations, and dependencies.

Production Deployment & Operations

• Deploy AI systems into production with monitoring and evaluation.
• Implement observability to track performance and business impact.
• Continuously improve AI solutions based on usage and feedback.
• Ensure systems are secure, supportable, and resilient.

Stakeholder Partnership & Enablement

• Act as a trusted AI partner to Marketing leadership.
• Translate complex AI concepts into business implications.
• Enable non-technical teams through intuitive tools and documentation.
• Maintain transparency on roadmap, risks, and outcomes.

Role Qualifications:

Qualifications

• Senior-level experience delivering AI-powered systems in enterprise environments.
• Hands-on experience with LLM workflows, RAG, and agentic systems.
• Strong analytics or data engineering background.
• Proven cross-functional marketing and technology partnership skills.

Skills & Competencies

• AI systems and agentic workflow design
• Marketing automation and CRM workflows
• Analytics and evaluation frameworks
• Product mindset and backlog prioritization
• Clear communication with technical and non-technical audiences

Technology Environment

• CRM: Adobe, Microsoft Dynamics 365
• Analytics: Adobe Analytics, Tableau
• Data Warehouse: Snowflake
• Work Management: Jira, monday.com
• Collaboration: SharePoint, Microsoft Teams

Travel Requirements

Remote role with less than 10% travel as needed