#119904 - Senior Salesforce / Agentforce AI Integration Architect

LIFTED LLC
Texas City, TX, United States
3 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Application Integration Architecture Computing Platforms User Authentication Data as a Services Data Governance Data Infrastructure Distributed Systems Middleware E2e Testing Salesforce.Com
+14 more
Systems Architecture Systems Integration Apex Code Large Language Models Multi-Agent Systems Prompt Engineering Backend Event Driven Architecture AI Platforms Restful APIs Grpc Automation Anywhere Api Management Mulesoft

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., * 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., * 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.

Requirements

Do you have experience in gRPC?, 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.

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