Principal AI Engineer, Salesforce

• 9+ years of professional software engineering experience, with at least 4+ years explicitly in software architecture or principal/engineer-level roles
• Strong experience designing and building distributed systems — handling concurrency, state management, fault tolerance, eventual consistency, and observability at scale
• Proven track record shipping production-grade software that real users rely on daily (not just prototypes or internal tools)
• Hands-on experience integrating enterprise platforms via APIs (Salesforce, Marketing Cloud, Slack, Google Workspace, or equivalent)
• Experience designing and deploying AI-assisted agents or LLM-powered workflows in production environments
• Deep comfort with modern development practices: automated testing, CI/CD, infrastructure-as-code, security & compliance controls
• Strong written and verbal communication — able to produce clear architecture diagrams, decision records, workflow maps, and stakeholder updates
• If you are a software engineering architect who loves building elegant, reliable systems and wants to apply that craft inside a high-impact Marketing organization, this role is for you

Desirable

• This is a hands-on Software Engineering Principal/Architect role embedded directly inside the Salesforce Marketing organization
• You will act as the principal technical builder and architect who identifies the most time-consuming, repeatable workflows across Marketing — campaign creation, audience segmentation, content production, performance analysis and reporting — and designs and builds production-grade AI agents that own them end-to-end
• This is not a Solutions Architect, pre-sales, IT, consulting, or marketing automation operations role
• You report to Marketing leadership, sit with the Marketing teams doing the work daily, and are measured by concrete business outcomes: workflow hours saved, campaigns shipped faster, and error rates reduced — not tickets closed or systems documented
• Workflow Discovery & Architectural Mapping:
• Partner closely with Marketing strategy, operations, and creative leads to surface highest-impact, repeatable workflows
• Design comprehensive end-to-end workflow architectures, identifying automation boundaries, human-in-the-loop decision gates, error handling, retry logic, and fallback paths
• Prioritize opportunities and maintain a clear technical roadmap that balances impact, complexity, and dependencies
• Systems Design & Agent Development:
• Architect and build scalable, reliable AI agents that execute full marketing workflows (brief generation, audience building, content creation, approval routing, performance reporting, etc.)
• Design and implement distributed systems that securely integrate with Marketing’s existing tools: Salesforce Marketing Cloud, Agentforce, Slack, Google Workspace, and internal data platforms
• Apply modern software architecture principles (spec-driven design, event-driven design, microservices patterns where appropriate, observability, fault tolerance) to ensure agents are production-grade and can scale with Marketing’s growing demands
• Ship high-quality, secure, testable code using current engineering practices while aggressively leveraging AI coding tools to accelerate delivery
• Measurement, Iteration & System Context:
• Define and instrument success metrics for every agent (time saved, throughput, accuracy, cost, observability)
• Maintain and evolve a shared, explicit system context repository (architecture decisions, constraints, standards, domain knowledge) that enables reliable AI operation
• Critically review all code — whether human or AI-generated — for correctness, security, performance, and maintainability
• Communicate technical trade-offs and architectural decisions clearly to non-technical Marketing leadership
• You will have significant autonomy, direct access to stakeholders, and the ability to see the business impact of your architecture and code immediately