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.
Title : Solution Architect AI Agent & DSL Platform (SFMC Automation) Location Columbus OH - Day 1 onsite 5 Days. 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 us...
Title : Solution Architect AI Agent & DSL Platform (SFMC Automation)
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.