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AI Engineer, Marketing

Published · Updated

Pay not postedUSRemoteSenior

Own the end-to-end delivery and operation of AI-powered marketing workflows, from use-case prioritization through production deployment and measurement.

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At a glance

Posted base pay

Not posted

The work

Builds for teams inside the company

Balance

  1. Mostly building
  2. Mixed
  3. Mostly pre-sales or support

Project stages

  1. Pre-sales (not covered)
  2. Proof of concept (not covered)
  3. Implementation
  4. Operations

Travel Up to 10%

Coding
Writes production code
Builds for
Internal teams
Level
Senior
Role
Technical lead

What they ask for

Tools

  • LLM
  • RAG
  • Adobe
  • Microsoft Dynamics 365
  • Adobe Analytics
  • Tableau
  • Snowflake
  • Jira
  • monday.com

Less common in FDE jobs

  • Who you build for: Internal teams14%
  • Company size: About 201–1,000 people18%
  • Fully remote28%
  • Company stage: Later private33%

Share of US FDE postings that state each fact.

The job description from Project Management Institute

Posted by Project Management Institute on

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

View posting at Project Management Institute

About Project Management Institute

Global professional association advancing project management through membership, certifications, standards, education, research, events, and digital tools.

Private Late · 500–1000 people

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Pay and conditions

Posted pay
Pay not posted
Location
US
Work arrangement
Remote
Remote work restrictions
United States
Travel
Up to 10%