AI Solution Architect AI Agent & DSL Platform - SFMC Automation

Job Summary

We are seeking an AI Solution Architect to design and lead the development of an AI-powered platform that leverages autonomous agents to generate campaigns, journeys, segmentation, and personalization workflows. This role is responsible for end-to-end architecture across AI/ML systems, domain-specific language (DSL) design, backend services, and integrations with Salesforce Marketing Cloud (SFMC), ensuring scalability, security, and enterprise-grade performance.

Key Responsibilities

Own and drive end-to-end architecture for AI agents, DSL frameworks, and SFMC automation

Design agent-based AI systems, backend microservices, APIs, and SFMC integrations (REST/SOAP)

Define and manage DSL schemas (JSON/YAML) for AI-generated workflows with a focus on safety and extensibility

Establish guardrails, validation processes, simulation capabilities, and compliance frameworks for AI systems

Collaborate with business, product, and engineering teams to translate requirements into scalable solutions

Lead proof-of-concepts (POCs) and prototypes to validate architectural approaches and technologies

Partner with AI/ML teams on agent frameworks, retrieval-augmented generation (RAG) pipelines, model fine-tuning, and safety mechanisms

Architect cloud-native, highly available systems using infrastructure-as-code tools such as Terraform

Define design standards, integration patterns, and system blueprints including data flows and deployment strategies

Ensure system security, governance, performance optimization, and reliability

Provide technical leadership, guide engineering teams, and conduct architectural reviews Required Qualifications

12+ years of experience in software engineering, with at least 5+ years in Architect or Principal roles

Strong proficiency in Java and/or Python, along with experience in CI/CD pipelines and database technologies

Hands-on experience with agent-based AI frameworks (e.g., LangChain, agent SDKs), vectorization, and context engineering

Knowledge of AI/ML systems including MLOps, evaluation techniques, and large language model fine-tuning

Experience with orchestration tools such as CrewAI, LangGraph, n8n, or similar frameworks

Strong experience in designing domain-specific languages (DSLs)

Deep understanding of Salesforce Marketing Cloud (SFMC), including Journey Builder, Email Studio, Data Extensions, and REST/SOAP APIs

Proficiency in at least one of the following: Python, TypeScript, or Java

Expertise in cloud-native architecture, microservices, and distributed systems

Strong understanding of security, privacy, and compliance principles Preferred Qualifications

Experience with AI-driven automation or autonomous agent platforms

Familiarity with AMPscript and SSJS

Background in marketing automation or CRM systems

Experience with event-driven architectures and messaging systems

Experience working in fixed-bid delivery environments