Key Responsibilities

• Build and optimize LLM‑powered agents capable of generating:
• Email templates, content blocks, personalization rules
• Journey Builder workflows, decision splits, triggers, waits
• Segmentation logic and data extension mappings
• Develop prompting frameworks, agent orchestration logic, and reasoning loops for reliable autonomous workflow creation.
• Collaborate with DSL engineers to ensure the AI models can generate valid, safe, and expressive DSL instructions.
• Implement fine‑tuning, RAG, and model‑conditioning pipelines to improve accuracy and reduce hallucinations.
• Build evaluation, scoring, and validation systems for AI‑generated journeys before deployment.
• Integrate AI agents with SFMC APIs (REST & SOAP) to execute and test generated workflows.
• Develop guardrails, safety layers, and constraint‑based generation patterns to ensure compliance with marketing and regulatory rules.
• Work with marketing operations and CRM teams to encode real‑world campaign logic into model behaviors.
• Monitor and optimize model performance, latency, and cost across cloud environments.

Required Skills & Experience

• Strong experience with LLMs, generative AI, and agentic architectures (OpenAI, Anthropic, Llama, etc.).
• Hands‑on experience with:
• Prompt engineering
• RAG pipelines
• Fine‑tuning or supervised instruction training
• Multi‑agent orchestration frameworks
• Proficiency in Python and ML frameworks (PyTorch, TensorFlow, HuggingFace).
• Experience building production‑grade ML systems with CI/CD, monitoring, and observability.
• Understanding of Salesforce Marketing Cloud concepts:
• Journey Builder
• Email Studio
• Data Extensions
• Personalization logic
• Strong grasp of API integration, especially REST/SOAP patterns.
• Experience translating business workflows into structured, machine‑interpretable logic.

Preferred Qualifications

• Experience with AI‑driven workflow automation or autonomous agents.
• Familiarity with AMPscript, SSJS, and SFMC personalization.
• Background in marketing automation, CRM systems, or lifecycle marketing.
• Knowledge of reinforcement learning, constrained decoding, or rule‑based generation.
• Experience with cloud platforms (AWS, Azure, GCP) and containerized deployments (Docker, Kubernetes).

Success Criteria

• AI agents reliably generate complete, accurate, and compliant SFMC campaigns and journeys.
• Significant reduction in manual campaign build time through autonomous generation.
• High accuracy and low error rate in AI‑generated DSL and workflow outputs.
• Strong adoption of AI tooling across engineering and marketing teams.