Description

Define and lead end-to-end architecture for AI agents, DSL frameworks, and Salesforce Marketing Cloud automation. You will design scalable systems, establish safety guardrails, and drive technical strategy across engineering and product teams.

This role is on-site.

Responsibilities

• Architect agent-based AI systems, backend microservices, APIs, and SFMC integrations using REST/SOAP.
• Define and manage DSL schemas (JSON/YAML) for AI-generated workflows, ensuring extensibility and safety.
• Establish guardrails, validation processes, simulation capabilities, and compliance frameworks for AI systems.
• Lead proof-of-concepts (POCs) and prototypes to validate architectural approaches and technologies.
• Collaborate with AI/ML teams on agent frameworks, RAG pipelines, model fine-tuning, and safety mechanisms.

Required Skills

• 12+ years of software engineering experience, including 5+ years in Architect or Principal roles.
• Strong proficiency in Java and/or Python, with expertise in TypeScript.
• Hands-on experience with agent-based AI frameworks such as LangChain, CrewAI, LangGraph, or n8n.
• Deep understanding of Salesforce Marketing Cloud (SFMC), including Journey Builder, Email Studio, Data Extensions, and APIs.
• Expertise in designing domain-specific languages (DSLs) and defining integration patterns.
• Proficiency in infrastructure-as-code tools like Terraform for cloud-native, highly available systems.
• Strong grasp of MLOps, evaluation techniques, vectorization, and context engineering.
• Experience with CI/CD pipelines, database technologies, and distributed systems.

Preferred Skills

• Experience with AI-driven automation or autonomous agent platforms.
• Familiarity with AMPscript and Server-Side JavaScript (SSJS).

Key Skills

Education

Any Gradute