About this role
Job Description:
Role Overview
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.
Key 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
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
Preferred
Adobe Experience Platform certification or implementation experience
Knowledge of marketing concepts: segmentation, lead scoring, journey orchestration
The annual salary range for this position is $94,000 - $152,375. Placement within the salary range is based on a variety of factors, including relevant experience, knowledge, skills, and other factors permitted by law.
Benefits available with this position include:
• Medical, vision, and dental insurance,
• Life insurance,
• Short-term and long-term disability insurance,
• 401k,
• Flexible paid time off,
• At least 15 paid holidays per year,
• Paid sick and safe leave, and
• Paid parental leave.
Dentsu also complies with applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, in accordance with its plans and policies. For further details regarding Dentsu benefits, please visit www.dentsubenefitsplus.com.
To begin the application process, please click on the “Apply” button at the top of this job posting. Applications will be reviewed on an ongoing basis, and qualified candidates will be contacted for next steps.
At dentsu, we believe great work happens when we’re connected. Our way of working combines flexibility with in-person collaboration to spark ideas and strengthen our teams. Employees who live within a commutable distance of one of our hub offices, currently located in Chicago, metro Detroit, Los Angeles, and New York City, are required and expected to work from the office three days per week (two days per week for employees based in Los Angeles). Dentsu may designate other Hub offices at any time. Those who live outside a commutable range may be designated as remote, depending on the role and business needs. Regardless of your work location, we expect our employees to be flexible to meet the needs of our Company and clients, which may include attendance in an office.
Location:
New YorkBrand:
MerkleTime Type:
Full timeContract Type:
PermanentDentsu is committed to providing equal employment opportunities to all applicants and employees. We do this without regard to race, color, national origin, sex , sexual orientation, gender identity, age, pregnancy, childbirth or related medical conditions, ancestry, physical or mental disability, marital status, political affiliation, religious practices and observances, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law.
Dentsu is committed to providing reasonable accommodation to, among others, individuals with disabilities and disabled veterans. If you need an accommodation because of a disability to search and apply for a career opportunity with us, please send an e-mail to [email protected] by clicking on the link to let us know the nature of your accommodation request and your contact information. We are here to support you.
Other facts
About dentsu
Merkle, a dentsu company, powers the experience economy. For more than 35 years, the company has put people at the heart of its approach to digital business transformation. As the only integrated experience consultancy in the world with a heritage in data science and business performance, Merkle delivers holistic, end-to-end experiences that drive growth, engagement, and loyalty. Merkle’s expertise has earned recognition as a “Leader” by top industry analyst firms, in categories such as digital transformation and commerce, experience design, engineering and technology integration, digital marketing, data science, CRM and loyalty, and customer data management. With more than 16,000 employees, Merkle operates in 30+ countries throughout the Americas, EMEA, and APAC.
What you'll do
- The AI Engineer will validate AI use cases, prototype, and implement AI capabilities to enhance marketing operations. Responsibilities include integrating AI services with marketing technology and ensuring compliance with data privacy requirements.
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