Salesforce Ai Integration Architect Id68517 (Buenos Aires)

Full time | AgileEngine | Argentina Posted On 05/28/2026 Job Information City: BUENOS AIRES State/Province: Buenos Aires Job ID: **** Department: IT Services Job Description AgileEngine is an Inc. **** 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. Why Join Us If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! About the Role 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. Must Haves 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 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 Perks and Benefits Professional growth : Mentorship, TechTalks, and personalized growth roadmaps Competitive compensation : USD-based pay with education, fitness, and team activity budgets Exciting projects : Modern solutions with Fortune 500 and top product companies Flextime : Adaptable schedule with remote and office options #J-*****-Ljbffr Postúlate en Kit Empleo: kitempleo.com.ar/empleo/qjbyq