Principal AI Engineer

Description

Software Engineering Principal AI Engineer

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.

You are equally comfortable whiteboarding complex system designs as you are writing production code and shipping working agents. You bring deep software engineering rigor to marketing workflows, understanding that automation here is not purely technical — it must respect brand guidelines, creative judgment, legal/compliance requirements, and human decision points. You know exactly where to draw that line.

• 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

• 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

• 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

• 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

• Hands‑on experience with Salesforce Marketing Cloud, Agentforce, or the broader Salesforce…