Solution Architect – AI Agent & DSL Platform (SFMC Automation)

  • Columbus, OH, USA, Ohio, United States
  • Full-Time
  • On-Site
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Job Description:

Title : Solution Architect – AI Agent & DSL Platform (SFMC Automation)

Location – Columbus, OH

Title : Solution Architect – AI Agent & DSL Platform (SFMC Automation)

Location – Columbus, OH
Day 1 onsite – 5 Days
Client:- Mphasis/JPMC



Job Title: Solution Architect – AI Agent & DSL Platform (SFMC Automation)

Overview

We are looking for a Solution Architect to design and lead an AI-powered platform that uses autonomous agents to generate campaigns, journeys, segmentation, and personalization workflows in Salesforce Marketing Cloud (SFMC). You will drive end-to-end architecture across AI/ML, DSL design, backend systems, and SFMC integrations, ensuring scalability, security, and enterprise readiness.

Key Responsibilities

  • Own the end-to-end architecture for AI agents, DSL, and SFMC automation.
  • Design agentic AI systems, backend microservices, APIs, and SFMC integrations (REST/SOAP).
  • Define DSL schemas (JSON/YAML) for AI-generated workflows, ensuring safety and extensibility.
  • Establish guardrails, validation, simulation, and compliance frameworks for AI systems.
  • Collaborate with business, product, and engineering teams to translate requirements into scalable solutions.
  • Lead POCs and prototypes to validate architecture and technology choices.
  • Partner with AI/ML teams on agent frameworks, RAG pipelines, fine-tuning, and safety mechanisms.
  • Architect cloud-native, highly available systems on AWS using IaC (Terraform).
  • Define design standards, integration patterns, and system blueprints (data flow, contracts, deployment).
  • Ensure security, governance, performance optimization, and reliability.
  • Guide engineering teams and lead architectural reviews.

Required Skills & Experience

  • 12+ years in software engineering; 5+ years in Architect/Principal roles.
  • Strong foundation in Java/Python, CI/CD, and databases.
  • Experience with Agentic AI (Agent SDK, LangChain, agent frameworks, vectorization, context engineering).
  • Knowledge of AI/ML systems (MLOps, evaluation, LLM fine-tuning).
  • Experience with orchestration tools (CrewAI, LangGraph, n8n, or Semantic Kernel).
  • Strong DSL design experience.
  • Deep knowledge of SFMC (Journey Builder, Email Studio, Data Extensions, REST/SOAP APIs).
  • Proficiency in Python, TypeScript, or Java.
  • Expertise in cloud-native architecture, microservices, and distributed systems.
  • Strong understanding of security, privacy, and compliance.

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 in fixed-bid delivery environments.




Job Title: Solution Architect – AI Agent & DSL Platform (SFMC Automation)

Overview

We are looking for a Solution Architect to design and lead an AI-powered platform that uses autonomous agents to generate campaigns, journeys, segmentation, and personalization workflows in Salesforce Marketing Cloud (SFMC). You will drive end-to-end architecture across AI/ML, DSL design, backend systems, and SFMC integrations, ensuring scalability, security, and enterprise readiness.

Key Responsibilities

  • Own the end-to-end architecture for AI agents, DSL, and SFMC automation.
  • Design agentic AI systems, backend microservices, APIs, and SFMC integrations (REST/SOAP).
  • Define DSL schemas (JSON/YAML) for AI-generated workflows, ensuring safety and extensibility.
  • Establish guardrails, validation, simulation, and compliance frameworks for AI systems.
  • Collaborate with business, product, and engineering teams to translate requirements into scalable solutions.
  • Lead POCs and prototypes to validate architecture and technology choices.
  • Partner with AI/ML teams on agent frameworks, RAG pipelines, fine-tuning, and safety mechanisms.
  • Architect cloud-native, highly available systems on AWS using IaC (Terraform).
  • Define design standards, integration patterns, and system blueprints (data flow, contracts, deployment).
  • Ensure security, governance, performance optimization, and reliability.
  • Guide engineering teams and lead architectural reviews.

Required Skills & Experience

  • 12+ years in software engineering; 5+ years in Architect/Principal roles.
  • Strong foundation in Java/Python, CI/CD, and databases.
  • Experience with Agentic AI (Agent SDK, LangChain, agent frameworks, vectorization, context engineering).
  • Knowledge of AI/ML systems (MLOps, evaluation, LLM fine-tuning).
  • Experience with orchestration tools (CrewAI, LangGraph, n8n, or Semantic Kernel).
  • Strong DSL design experience.
  • Deep knowledge of SFMC (Journey Builder, Email Studio, Data Extensions, REST/SOAP APIs).
  • Proficiency in Python, TypeScript, or Java.
  • Expertise in cloud-native architecture, microservices, and distributed systems.
  • Strong understanding of security, privacy, and compliance.

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 in fixed-bid delivery environments.