• Job Description

  Req#: 3743990013313072
  Company Description
  
  Job Description
  
  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.
  
  Key Responsibilities
  - 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.
  
  Qualifications
  
  Must-Have Skills
  - 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.
  
  Nice-to-Have Skills
  - Experience with Model Context Protocol.
  - Experience with Agent-to-Agent integrations.
  - Experience with MuleSoft 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.
  
  Additional Information
  
  Required Tools & Platforms
  - 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
  
  Location, Time & Engagement
  - 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.

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