Senior AI Engineer, Marketing Automation (Remote)

Project Management Institute, Inc.; United States; Hybrid; USD 140,000 - 190,000; Full time

Job summary

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.

Responsibilities

• 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.

Skills

AI systems design

LLM workflows

RAG pipelines

Analytics

Cross-functional collaboration

Communication

Marketing and CRM workflows

Tools

Jira

monday.com

Adobe Analytics

Tableau

Snowflake

SharePoint

Job description

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