Salesforce Agentforce AI Engineer / Agentforce Developer
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- Build pro-code Salesforce agents with Agent Script, Agentforce DX and production-ready app surfaces
- Ground agents in governed enterprise context and connect standardized tools across Salesforce
- Operate and improve enterprise agents with testing, observability, security and deployment discipline
Benchmark: Salesforce Agentforce Operations Software Engineering + Agentforce Technical Architect / Data & AI platform signals (current Sep 2026). Market refresh: Agent Script and Agentforce DX; Agentforce Vibes; Data 360 grounding; Headless 360 and React; hosted MCP and A2A interoperability; testing and regression; tracing/optimization; trust, permissions and production rollout.
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Build pro-code Salesforce agents with Agent Script, Agentforce DX and production-ready app surfaces
Agent Script, Agentforce DX + hybrid reasoning
Coverage: Agent Script / Agentforce DX / Salesforce CLI / VS Code / Agentforce Vibes / Subagents
Agent actions, APIs + headless application experiences
Coverage: Agentforce APIs / Apex / Flow / Headless 360 / React / Agentforce Conversation Client
Ground agents in governed enterprise context and connect standardized tools across Salesforce
Data 360 grounding + unstructured enterprise context
Coverage: Data 360 / Data Libraries / Intelligent Context / RAG / Document AI / Enterprise Grounding
MCP, A2A + secure enterprise tool interoperability
Coverage: Hosted MCP Servers / MCP Client + Gateway / A2A / MuleSoft / Tool Contracts / OAuth / Trust Boundaries
Operate and improve enterprise agents with testing, observability, security and deployment discipline
Testing, evaluation + regression automation
Coverage: Agentforce Testing Center / Testing API / Agentforce DX Tests / Scorers / CI / Regression
Tracing, optimization + production agent quality
Coverage: Session Tracing / Agent Optimization / Observability / Trust Layer / Permissions / Adoption / Reliability
Role-Readiness Proof / Capstone
Engineer and operate an enterprise Agentforce solution for a real business process. Define the use case and subagent boundaries; implement core behavior with Agent Script and Agentforce DX; add Data 360 grounding and at least two actions through Flow, Apex, REST or MCP; expose one headless or React experience; enforce Salesforce identity, sharing, field/data access, trust controls and explicit human approvals; create automated regression tests with Testing Center, Testing API or DX; use traces and Agent Optimization to diagnose failures; deploy through source control and CI, run permission/failure drills, and report task completion, quality, latency, consumption, adoption and business impact.
Proof Rubric
- Prove correct Agent Script and DX implementation
- grounded Data 360 context and retrieval
- clean action and MCP contracts
- secure Salesforce permission boundaries
- reliable headless or React integration where used
- automated tests and regression gates
- traceable agent behavior and incident diagnosis
- safe autonomous actions and human handoffs
- CI/deployment discipline
- measurable task success and business-process improvement
- and clear tradeoffs among declarative vs pro-code, Flow/Apex/API/MCP, single vs subagents and human vs autonomous execution