AI Engineer - Marketing Automation & Intelligence

dentsu•New York, NY

10d•$94,000 - $152,375

About The Position

As an AI Engineer on our team, you will validate, prototype, and implement AI capabilities that enhance marketing operations and customer experiences. This role focuses on integrating modern AI services with enterprise marketing technology to deliver measurable business value through intelligent automation, personalization, and other AI systems. You will report to the Experience Technical Director.

Requirements

Bachelor’s degree in Computer Science, Engineering, or related field
2+ years experience with production AI systems including data engineering and integration
Deep understanding of modern AI: LLMs, embeddings, vector databases, RAG architectures
Strong Python programming with API integration experience
Hands-on experience with LLM APIs and cloud AI services
Experience with marketing automation platforms, particularly Adobe Experience Cloud or Salesforce
Production experience with cloud-native architectures including serverless, containers, and managed AI services
Proficiency with data pipelines, streaming platforms, and event-driven architectures
Experience with LLM orchestration libraries
AI observability tools

Nice To Haves

Adobe Experience Platform certification or implementation experience
Knowledge of marketing concepts: segmentation, lead scoring, journey orchestration

Responsibilities

Validate AI use cases through technical feasibility assessments and build proof-of-concepts that can evolve into production systems
Integrate AI services (OpenAI, Anthropic, AWS AI) with Adobe Experience Platform (RT-CDP, Journey Optimizer, Marketo) and Salesforce Data Cloud
Design and implement data pipelines for both real-time and batch processing through Edge Network architectures
Architect and deploy scalable AI solutions on cloud platforms (GCP, AWS, or Azure)
Create APIs and microservices that expose AI functionality to marketing applications
Implement observability and measurement frameworks for AI-powered workflows
Ensure compliance with data privacy and consent management requirements (OneTrust)
Collaborate with engineers, technical architects, strategists, and marketing teams to align solutions with business objectives
Document technical approaches and recommendations for scaling successful initiatives
Monitor, evaluate, and iterate using real-world data and feedback
Staying current with AI/ML advancements and recommending new technologies
Structured and unstructured data experience