Description

Key Responsibilities

• Own architecture for AI-agent, DSL, and SFMC automation ecosystem; design agentic AI systems, backend microservices, and SFMC integrations (REST/SOAP)
• Define DSL schemas (JSON/YAML) for AI-generated workflows ensuring extensibility, safety, and deterministic execution
• Partner with AI/ML teams on agent frameworks (LangChain, LangGraph, CrewAI, Semantic Kernel), RAG pipelines, embeddings, and LLM fine-tuning
• Architect cloud-native, highly available systems on AWS using IaC (Terraform); oversee microservices, orchestration layers, and execution pipelines
• Ensure robust SFMC integration including Journey Builder, Email Studio, Data Extensions, and Personalization logic
• Define architectural controls for security, compliance, auditability, and data protection for AI-generated marketing workflows
• Collaborate with business, product, CRM, and marketing operations teams to translate requirements into scalable solutions

Required Skills

• AWS, AWS Bedrock, OpenAI / Anthropic APIs
• Python, TypeScript, or Java (strong proficiency)
• Agent SDKs, LangGraph, MCP, A2A, LangSmith / Arize Phoenix
• Kubernetes, Docker, SRE practices
• DSL design, interpreters, ASTs, and compiler concepts
• Cloud-native architecture (AWS/Azure/GCP), containers, microservices
• SFMC platform (Journey Builder, Email Studio, Data Extensions, REST/SOAP APIs)
• RAG pipelines, prompt engineering, LLM evaluation and safety
• Terraform (IaC), observability, monitoring, and logging

Preferred Skills

• AMPscript and SSJS
• Marketing automation, CRM systems, or customer lifecycle design experience
• Event-driven architectures and messaging systems
• Security, compliance, and governance for AI systems
• Fixed-bid or outcome-based delivery environment experience

Key Skills

Education

Bachelor's degree