Job InformationFull time | Agile Engine | Portugal
Posted On 05/28/2026
City Coimbra
State/Province Coimbra
3000-168
IT Services
Job DescriptionAgile Engine 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.
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 aSalesforce AI Integration Architectto 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, g RPC, 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.
ResponsibilitiesArchitect 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, g RPC, 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 Haves6+ years of experience designing enterprise integrations and distributed system architectures ;
Hands-on experience integrating systems withSalesforce ;
Deep expertise withApex methods, advancedSalesforce Flows, custom prompt templates, andSalesforce APIsand connectors;
Strong experience withREST APIs ,g RPC ,event-driven architectures, and enterprise synchronization patterns;
Solid understanding ofAIandLLMconcepts includingprompt 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 HaveExperience withModel Context Protocol (MCP) ;
Experience withAgent-to-Agent (A2 A)integrations;
Experience withMule Softor enterprise middleware platforms;
Familiarity withSalesforce Agentforce ;
Experience building or managing autonomous AI agents or micro-agent ecosystems;
Experience with semantic tool discovery or AI-native integrations;
Knowledge ofSalesforce Bulk APIsandSalesforce Connect ;
Experience operating within large-scale enterprise AI environments.
Perks and BenefitsProfessional growth : Mentorship, Tech Talks, 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 : Flexible schedule with remote and office options.