AI Engineer

PMI

. Lead the design, development, and operationalization of AI-powered workflows across the marketing organization .

Posted 9/18/2026full-timeRemote • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading the design and operationalization of AI-powered marketing workflows, with a strong focus on LLM workflows, RAG pipelines, and data integration across CRM and analytics platforms. Capable of translating complex AI concepts into actionable business strategies while ensuring system security and performance.

Highest-signal resume keywords

AI-Powered Systems DeliveryLLM Workflow DesignMarketing Automation ExperienceData Engineering BackgroundCross-Functional Partnership Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Solution DevelopmentRAG ImplementationAgentic Workflow DesignData IntegrationSuccess Metrics Definition

Soft Skills

Clear CommunicationProduct MindsetBacklog Prioritization

Tools & Technologies

Adobe AnalyticsMicrosoft Dynamics 365TableauSnowflakeJiraMonday.comSharePointMicrosoft Teams

Industry Keywords

Marketing AIMartechData QualityPerformance MonitoringHuman-in-the-Loop Controls

Tech Stack

Tools & technologies

Tableau

About the role

Key responsibilities & impact

Lead the design, development, and operationalization of AI-powered workflows across the marketing organization
Own the end-to-end lifecycle of marketing AI solutions, from opportunity intake and backlog management through architecture, deployment, and measurement
Own and manage the Marketing AI & Automation backlog
Translate marketing opportunities into prioritized initiatives
Identify high-impact AI use cases with Marketing Operations and Martech teams
Define success metrics and acceptance criteria for AI solutions
Serve as technical owner balancing rapid iteration with production stability
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
Implement guardrails, fallback behaviors, and human-in-the-loop controls
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
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
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

Requirements

What you’ll need

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
Experience with AI systems and agentic workflow design
Experience with marketing automation and CRM workflows
Knowledge of analytics and evaluation frameworks
Product mindset and backlog prioritization skills
Clear communication with technical and non-technical audiences
Familiarity with Adobe and Microsoft Dynamics 365 CRM
Familiarity with Adobe Analytics and Tableau
Familiarity with Snowflake
Familiarity with Jira and monday.com
Familiarity with SharePoint and Microsoft Teams

Benefits

Comp & perks

Remote work
Less than 10% travel as needed