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Partner Technical Architect - Agentforce

United Kingdom - London💼 Full-time🗓 2026-07-08 → 2026-07-31

Core

Partner Technical Architect helping System Integrators build and ship production-grade Agentforce solutions at scale.

Role type

Senior IC Technical Architect (Agentic AI)

Builds

Production-grade Agentforce solutions, reference implementations, starter kits, demos, and evaluation harnesses for enterprise clients.

Domain

Enterprise AI / Agentic Systems / Salesforce Platform

Deliverable

production ML models | product features

Required skills

LLMs, agents, RAG, tool use, workflow orchestration, multi-agent systems, human-in-the-loop patterns, agent debugging, prompt design, retrieval quality, evaluation, hallucination risk, guardrails, cost/performance trade-offs, system design, APIs, data flows, identity, security, integration, observability, enterprise architecture judgment, product sense, regulated environment experience

Preferred skills

Salesforce, Agentforce, Data Cloud, Apex, Flow, LWC, MuleSoft, multi-cloud architecture, system integrator experience, open-source contributions, technical writing, maturity models, readiness checks, consumption economics, TCO

Technologies

Salesforce, Agentforce, Data Cloud, Apex, Flow, LWC, MuleSoft, LLMs, RAG, multi-agent systems

Responsibilities

Prototype quickly to validate ideas and unblock implementation risks; Build reference implementations, starter kits, demos, and evaluation harnesses; Convert field lessons into reusable assets (code, diagrams, checklists); Review partner Agentforce architectures for design, security, and production readiness; Coach Partner FDEs and architects through design clinics and technical walkthroughs; Translate field blockers into product and engineering feedback; Help partners connect architecture choices to delivery quality and consumption economics

Seniority

Senior, hands-on IC

Rewrite
## Responsibilities - Prototype quickly to validate ideas, expose platform gaps, and unblock first-of-kind implementation risks. - Build reference implementations, starter kits, demos, field kits, and evaluation harnesses that partners can fork, extend, and deploy. - Convert field lessons into durable reusable assets: code, diagrams, checklists, decision trees, implementation notes, and architecture guidance. - Review partner Agentforce architectures for agent design, retrieval strategy, tooling, guardrails, observability, cost, security, and production readiness. - Coach Partner FDEs and architects through design clinics, office hours, portfolio reviews, and targeted technical walkthroughs. - Translate recurring field blockers into clear product and engineering feedback. - Help partners connect technical architecture choices to delivery quality, customer outcomes, and consumption economics. ## Requirements - You have shipped or seriously prototyped real software, agents, automations, internal tools, or technical demos. - You can show your work: GitHub repos, demo apps, notebooks, architecture docs, eval harnesses, demo orgs, open-source contributions, or equivalent artifacts. - You learn new platforms by building with them, not by waiting for perfect documentation. - You can move fast without losing production instincts around safety, reliability, observability, and maintainability. - You naturally extract patterns from one-off work and turn them into reusable assets for others. - Experience building with LLMs, agents, RAG, tool use, workflow orchestration, or automation systems. - Ability to reason about multi-agent, human-in-the-loop, and enterprise integration patterns. - Comfort debugging 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. - Ability to communicate clearly with engineers, architects, product teams, partner leaders, and executive stakeholders. - Strong systems thinking across APIs, data flows, identity, security, integration, observability, and operational handoff. - Strong product sense: you can distinguish a platform gap, a configuration issue, a partner delivery issue, and a pattern worth codifying. - Comfort operating in regulated or complex enterprise environments where governance, trust, and delivery risk matter. ## Nice to Have - Hands-on Salesforce, Agentforce, Data Cloud, Apex, Flow, LWC, MuleSoft, or multi-cloud architecture experience is preferred. - Salesforce certifications are helpful, but not required if you can demonstrate strong builder evidence and rapid platform learning. - We value candidates who can learn the Salesforce stack quickly and translate broader engineering/AI experience into partner-ready Agentforce patterns. - Experience working with 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. - Familiarity with consumption economics, agent cost modeling, TCO, or outcome-based delivery models. ## Benefits When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love.
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