Partner AI Solutions Engineer

Job Category

Customer Success

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we’re looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce’s core values at the heart of it all.

Ready to level‑up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

This role engages before the buying decision is made, building working solutions against real customer challenges alongside the partners who will deliver them.

You are a builder with a voice. You ship working things and explain them in a way that makes other people more confident, more capable, and more willing to bet on the platform.

You may come from forward deployed engineering, applied AI engineering, solutions engineering, technical consulting, partner engineering, technical founding, or hands‑on Salesforce engineering. You are energized by the loop of seeing a real problem, building the right thing inside an early engagement, explaining it clearly, and then collaborating with partner teams to move it with accelerating quality and confidence.

This is a hands‑on builder role. You create technical solution patterns and POCs for live partner and customer environments, always learning what works and what can be made into reusable assets the broader field can extend. The center of gravity is building: agents, on surfaces, using actions/integrations/context, with packaging/evals into deployment patterns. With these elements you provide clear explanations that help field teams trust and reuse the work.

• 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, Git Hub 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, Mule Soft, and Slack product and engineering teams.

• Shipped at least one working Agentforce implementation inside an active sales cycle that visibly increased partner or customer confidence in Salesforce.
• Built or contributed to a reusable accelerator, repo, or solution kit that another team is…