Salesforce AI Integration Architect ID68517

We are looking for a Salesforce AI Integration Architect to design and build enterprise integrations between internal AI platforms and Salesforce Agentforce environments, scaling autonomous AI workflows across distributed systems. You will architect multi-step agentic AI orchestration patterns, define integration strategies using REST APIs, gRPC, and event-driven architectures, and establish security and governance guardrails for AI-native enterprise systems. The role requires deep expertise in Salesforce customization, LLM orchestration, and scalable distributed system design. WHAT YOU WILL DO

• Architect end-to-end integrations between internal AI platforms, enterprise data systems, and Salesforce Agentforce environments;
• Design scalable, secure, and resilient distributed system architectures supporting autonomous AI workflows;
• Define integration strategies leveraging REST APIs, gRPC, event-driven architectures, and Salesforce-native capabilities;
• Design and optimize modular agentic AI systems through specialized micro-agent delegation;
• Build orchestration patterns for multi-step AI workflows, autonomous routing systems, and semantic tool execution;
• Apply best practices around prompt engineering, context management, token conservation, and LLM orchestration;
• Develop and enhance integrations using Salesforce Flows, Invocable Apex methods, APIs, connectors, and custom prompt templates;
• Enable complex backend processes to be exposed as intelligent agentic tools within Salesforce ecosystems;
• Collaborate with cross-functional teams to maintain unified API contracts and semantic consistency across enterprise systems;
• Author architectural decision records documenting technical trade-offs, constraints, and high-level requirements;
• Evaluate and select integration patterns including traditional APIs, Model Context Protocol, and Agent-to-Agent communication models;
• Balance performance, latency, scalability, reasoning overhead, and data sensitivity considerations in architectural decisions;
• Establish authentication boundaries, trust layers, and governance guardrails for AI-enabled enterprise systems;
• Ensure compliance with enterprise security standards, data governance policies, and secure data exposure practices;
• Partner with security and platform teams to maintain reliable and trustworthy autonomous agent execution.

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!, 6+ years of experience designing enterprise integrations and distributed system architectures;

• Hands-on experience integrating systems with Salesforce;

• Deep expertise with Apex methods, advanced Salesforce Flows, custom prompt templates, and Salesforce APIs and connectors;

• Strong experience with REST APIs, gRPC, event-driven architectures, and enterprise synchronization patterns;

• Solid understanding of AI and LLM concepts including prompt engineering, context management, token optimization, multi-step AI workflows, agent orchestration, and semantic routing systems;

• Experience designing scalable and secure distributed systems;

• Strong understanding of authentication, security, trust boundaries, and data governance;

• Experience documenting architecture decisions, trade-offs, and technical strategy;

• Excellent collaboration and communication skills across engineering, platform, data, and security organizations;

• Upper-intermediate English level. NICE TO HAVES

• Experience with Model Context Protocol (MCP);

• Experience with Agent-to-Agent (A2A) integrations;

• Experience with MuleSoft or enterprise middleware platforms;

• Familiarity with Salesforce Agentforce;

• Experience building or managing autonomous AI agents or micro-agent ecosystems;

• Experience with semantic tool discovery or AI-native integrations;

• Knowledge of Salesforce Bulk APIs and Salesforce Connect;

• Experience operating within large-scale enterprise AI environments.

Competitive compensation: USD-based pay with education, fitness, and team activity budgets.

• Exciting projects: Modern solutions with Fortune 500 and top product companies.
• Flextime: Flexible schedule with remote and office options. Meet Our Recruitment Process Application * Coding Challenge * Video Interview * Technical Interview or Hiring Manager Interview Each step helps us understand your skills and overall fit. If it's a match, you'll receive an offer.

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.