Mulesoft Developer Jobs in Seattle, WA (NOW HIRING)

Job Summary:
Salesforce is the #1 AI CRM, focusing on driving customer success through innovation and collaboration. The AI Builder Partner Solutions role involves building working solutions for partners and customers, creating technical patterns and proofs of concept, and enhancing the credibility of Salesforce's AI offerings.
Responsibilities:
• Implement working Agentforce/Salesforce solution artifacts for the partner teams to use with the customer during qualification, shaping, and decision phases.
• Build with production-mindset for implementations that handle enterprise requirements such as identity, permissions, governed actions, observability, retrieval quality, and evaluation coverage.
• Create reusable accelerators that travel beyond the engagement: packaged metadata, deployment scripts, install guides, sample data, and test cases.
• Pair directly with partner engineers and customer technical teams to debug, refactor, and harden the implementation in proof-of-concepts & pilots.
• Produce clear walkthrough artifacts that increase Agentforce credibility and reuse: READMEs, partner delivery kits, technical posts, and recorded implementation walkthroughs.
• Present working implementations to experienced engineering audiences and translate fluently between technical and business stakeholders.
• Deliver live technical sessions or co-builds with partner engineering teams that produce reusable artifacts or change their implementation approach.
• Make ambiguous technical problems feel tractable through clarity and hands-on proof.
• Build reusable assets that earn trust before the meeting starts: published implementations, technical posts, GitHub repos, accelerators, and field-ready walkthroughs.
• Help Salesforce earn relevance in AI and data conversations where partner teams already have strong opinions and competing options.
• Represent Salesforce engineering credibility in partner forums, technical sessions, and enablement moments where working proof matters.
• Turn repeatable field patterns into accelerators, solution assets, and Partner FDE Network resources.
• Surface product friction, missing capabilities, and field-proven workarounds back to Agentforce, Data Cloud, MuleSoft, and Slack product and engineering teams.
Qualifications:
Required:
• Hands-on experience building on Salesforce platform: Agentforce, Flow, Apex, Lightning Web Components, APIs, permissions, metadata, packaging, and deployment patterns.
• Practical experience building LLM-powered applications: prompt design, context engineering, retrieval and RAG, tool calling and actions, evaluation, and debugging agent behavior.
• Hands-on experience with agentic coding tools as a core part of your daily engineering workflow: Claude Code, Cursor, GitHub Copilot, Windsurf, Codex, or equivalent.
• Comfortable building from day 1 in new environments.
• Experience integrating enterprise systems through APIs, middleware, MuleSoft, Data Cloud, Slack, or equivalent technologies.
• Comfortable across at least one of Python, TypeScript, JavaScript, Apex, or Java, and comfortable with GitHub-based development workflows.
• Low-ego, partner-empathetic collaboration.
• High agency.
• Bias to ship.
• Fluent across audiences.
Preferred:
• Experience with Agentforce in real customer or partner implementations.
• Experience with Data Cloud, MuleSoft, Slack platform, Heroku, or Salesforce CLI-based development.
• Experience building or using MCP servers, agent skills, sub-agents, external tools, or multi-agent workflows.
• Experience with GitHub, CI/CD, testing frameworks, evaluation harnesses, packaging, or developer workflow automation.
• Evidence of reusable technical output such as published repos, blog posts, talks, OSS contributions, or community advisory work.
• Experience as a Forward Deployed Engineer, Applied AI Engineer, Solutions Engineer, technical founder, or hands-on AI implementation lead.
• Experience working with GSIs, RSIs, cloud partners, or enterprise implementation partners.
• Familiarity with secure enterprise patterns for authentication, authorization, data access, logging, observability, and governed write actions.
Company:
Salesforce is a cloud-based software company that provides customer relationship management software and applications. Founded in 1999, the company is headquartered in San Francisco, USA, with a team of 10001+ employees. The company is currently Late Stage.