#119904 - Senior Salesforce / Agentforce AI Integration Architect
— · Remote · Houston
Job 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
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Architect end-to-end integration designs connecting internal AI systems, data services, and Salesforce Agentforce environments.
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Evaluate and recommend integration patterns across traditional APIs, Model Context Protocol, Agent-to-Agent approaches, and event-driven architectures.
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Design scalable, secure, and maintainable distributed systems that support autonomous workflows and enterprise automation.
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Define how autonomous systems interact safely and efficiently across cloud platforms, data services, and Salesforce environments.
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Wrap complex backend processes into agentic tools using Invocable Apex methods, advanced Salesforce Flows, and custom prompt templates.
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Design modular agent structures that avoid overloaded reasoning engines and support delegation across specialized autonomous agents.
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Establish API contracts, semantic endpoint definitions, trust filters, authentication boundaries, and data exposure guardrails.
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Collaborate with engineering, data, Salesforce administration, platform architecture, and security stakeholders.
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Author Architectural Decision Records that map high-level requirements to technical constraints, trade-offs, and design decisions. Qualifications Must-Have Skills
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Strong experience with enterprise integrations and system architecture.
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Deep experience integrating systems with Salesforce.
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Strong experience with Apex methods, advanced Salesforce Flows, and custom prompt templates.
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Experience designing and implementing APIs, including REST, gRPC, and event-driven architectures.
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Experience with Salesforce APIs, connectors, and integration patterns.
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Solid understanding of AI and LLM concepts, including prompt engineering, context management, context windows, and token conservation.
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Experience with multi-step AI workflows, agent orchestration, and autonomous routing concepts.
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Experience designing scalable and secure distributed systems.
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Understanding of security, authentication, data governance, trust boundaries, and data exposure controls.
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Experience documenting architecture decisions, technical constraints, and trade-offs.
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Strong collaboration skills across engineering, data, platform, Salesforce, and security teams.
Nice-to-Have Skills
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Experience with Model Context Protocol.
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Experience with Agent-to-Agent integrations.
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Experience with MuleSoft or middleware platforms.
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Experience building or managing autonomous AI agents or micro-agent systems.
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Familiarity with Salesforce Agentforce.
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Experience with semantic tool discovery or AI-native integrations.
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Knowledge of Salesforce Bulk APIs and Salesforce Connect.
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Experience working in large-scale enterprise AI environments. Additional Information Required Tools & Platforms
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Salesforce
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Salesforce Agentforce
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Invocable Apex
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Salesforce Flows
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Custom prompt templates
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Salesforce APIs and connectors
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REST APIs
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gRPC
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Event-driven architecture
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Salesforce Pub/Sub API
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LLM and agentic AI workflow concepts
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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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