Senior Salesforce​/Agentforce AI Integration Architect

• Contract

We are seeking a Senior Salesforce / Agentforce AI Integration Architect to support the design and scaling of enterprise automation and AI-enabled integration capabilities. This role will focus on connecting internal AI-driven systems, data platform services, and Salesforce Agentforce environments through secure, scalable, and well-governed architecture patterns.

The ideal candidate brings deep Salesforce integration and customization experience, strong enterprise systems architecture skills, and practical understanding of LLM-based workflows, agent orchestration, and AI platform integration.

Enterprise experience strongly preferred.

• Architect end-to-end integration designs connecting internal AI systems, data services, and Salesforce Agentforce environments.
• Evaluate and recommend integration patterns across traditional APIs, Model Context Protocol, Agent-to-Agent approaches, and event-driven architectures.
• Design scalable, secure, and maintainable distributed systems that support autonomous workflows and enterprise automation.
• Define how autonomous systems interact safely and efficiently across cloud platforms, data services, and Salesforce environments.
• Wrap complex backend processes into agentic tools using Invocable Apex methods, advanced Salesforce Flows, and custom prompt templates.
• Design modular agent structures that avoid overloaded reasoning engines and support delegation across specialized autonomous agents.
• Establish API contracts, semantic endpoint definitions, trust filters, authentication boundaries, and data exposure guardrails.
• Collaborate with engineering, data, Salesforce administration, platform architecture, and security stakeholders.
• Author Architectural Decision Records that map high-level requirements to technical constraints, trade-offs, and design decisions.

• Strong experience with enterprise integrations and system architecture.
• Deep experience integrating systems with Salesforce.
• Strong experience with Apex methods, advanced Salesforce Flows, and custom prompt templates.
• Experience designing and implementing APIs, including REST, gRPC, and event-driven architectures.
• Experience with Salesforce APIs, connectors, and integration patterns.
• Solid understanding of AI and LLM concepts, including prompt engineering, context management, context windows, and token conservation.
• Experience with multi-step AI workflows, agent orchestration, and autonomous routing concepts.
• Experience designing scalable and secure distributed systems.
• Understanding of security, authentication, data governance, trust boundaries, and data exposure controls.
• Experience documenting architecture decisions, technical constraints, and trade-offs.
• Strong collaboration skills across engineering, data, platform, Salesforce, and security teams.

• Experience with Model Context Protocol.
• Experience with Agent-to-Agent integrations.
• Experience with Mule Soft or middleware platforms.
• Experience building or managing autonomous AI agents or micro-agent systems.
• Familiarity with Salesforce Agentforce.
• Experience with semantic tool discovery or AI-native integrations.
• Knowledge of Salesforce Bulk APIs and Salesforce Connect.
• Experience working in large-scale enterprise AI environments.

• Salesforce
• Salesforce Agentforce
• Invocable Apex
• Salesforce Flows
• Custom prompt templates
• Salesforce APIs and connectors
• REST APIs
• gRPC
• Event-driven architecture
• Salesforce Pub/Sub API
• LLM and agentic AI workflow concepts
• Architectural Decision Records

• Remote contract role.
• Open to candidates in the United States, LATAM, EMEA, and APAC.
• Must be able to collaborate effectively with U.S.
  
  -based stakeholders and cross-functional teams.
• Full-time engagement, 40 hours per week.
• Expected engagement through March 31, 2027.