Postúlate en Kit Empleo: kitempleo.com.ar/empleo/qawyb

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 USIf 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 ROLEWe 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;- 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.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.

Postúlate en Kit Empleo: kitempleo.com.ar/empleo/qawyb

📌 Salesforce Ai Integration Architect Id68517 (San Carlos de Bariloche)
🏢 AgileEngine
📍 San Carlos de Bariloche