Partner Technical Architect - Agentforce

Salesforce Salesforce · Enterprise · Boston, MA +5 · Remote

Salesforce is seeking a Partner Technical Architect to help SI partners build and scale production-grade Agentforce solutions. The role involves prototyping, building reference implementations, reviewing partner architectures, and coaching partners. The ideal candidate has strong engineering judgment, applied AI fluency, and experience with LLMs, agents, RAG, and tool use, with a focus on enterprise architecture and production readiness in regulated environments.

What you'd actually do

  1. Prototype quickly to validate ideas, expose platform gaps, and unblock first-of-kind implementation risks.
  2. Build reference implementations, starter kits, demos, field kits, and evaluation harnesses that partners can fork, extend, and deploy.
  3. Convert field lessons into durable reusable assets: code, diagrams, checklists, decision trees, implementation notes, and architecture guidance.
  4. Review partner Agentforce architectures for agent design, retrieval strategy, tooling, guardrails, observability, cost, security, and production readiness.
  5. Coach Partner FDEs and architects through design clinics, office hours, portfolio reviews, and targeted technical walkthroughs.

Skills

Required

  • applied AI fluency
  • builder instincts
  • experience building with LLMs, agents, RAG, tool use, workflow orchestration, or automation systems
  • reason about multi-agent, human-in-the-loop, and enterprise integration patterns
  • debug agent behavior: traces, logs, failure modes, tool calls, bad context, bad data, latency, and user experience gaps
  • practical understanding of prompt design, retrieval quality, evaluation, hallucination risk, guardrails, and cost/performance trade-offs
  • systems thinking across APIs, data flows, identity, security, integration, observability, and operational handoff
  • product sense
  • comfort operating in regulated or complex enterprise environments

Nice to have

  • Salesforce, Agentforce, Data Cloud, Apex, Flow, LWC, MuleSoft, or multi-cloud architecture experience
  • Salesforce certifications
  • system integrators, partner delivery teams, or complex enterprise implementation programs
  • Published technical work: open-source projects, internal platform docs, talks, blog posts, or reusable architecture patterns
  • Experience creating maturity models, readiness checks, production-readiness scorecards, or technical review frameworks
  • consumption economics, agent cost modeling, TCO, or outcome-based delivery models

What the JD emphasized

  • production-grade Agentforce solutions at scale
  • production readiness
  • regulated or complex enterprise environments

Other signals

  • build production-grade Agentforce solutions at scale
  • turn ambiguous enterprise AI problems into working solutions
  • build, debug, explain trade-offs, and then package what they learned
  • raise quality and partner-led outcomes