Enhance marketing operations and customer experiences by integrating modern AI services with enterprise marketing technology to deliver measurable business value through intelligent automation and personalization.
Requirements
- Deep understanding of modern AI: LLMs, embeddings, vector databases, RAG architectures
- Strong Python programming with API integration experience
- Hands-on experience with LLM APIs (OpenAI, Anthropic) and cloud AI services (AWS, Azure, GCP)
- 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 (LangChain, LlamaIndex, Semantic Kernel)
- AI observability tools (Arize, OpenTelemetry, LangSmith)
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)
Other
- Employees within 90 min of our NY, MI, or IL offices may expect 1 day a week onsite.
- 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
