34 Agileengine Back End Engineer Jobs Hiring Near You

Job Summary:
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. They are seeking a Salesforce AI Integration Architect to design and build enterprise integrations that enable autonomous AI workflows at scale, requiring deep expertise in Salesforce customization and scalable distributed system design.
Responsibilities:
• 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;
• Design and optimize modular agentic AI systems, avoiding monolithic reasoning architectures 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 comprehensive Architectural Decision Records (ADRs) documenting technical trade-offs, constraints, and High-Level Requirements (HLRs);
• Evaluate and select optimal integration patterns including Traditional APIs, Model Context Protocol (MCP) , and Agent-to-Agent (A2A) 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.
Qualifications:
Required:
• 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, Salesforce APIs, and connectors
• Strong experience with REST APIs
• Solid understanding of AI/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
Preferred:
• Experience with gRPC
• Experience with Event-Driven Architectures
• Experience with enterprise synchronization patterns
• 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
Company:
The provider of solutions and services for the full cycle of software product development. Founded in 2010, the company is headquartered in Mclean, USA, with a team of 1001-5000 employees. The company is currently Late Stage.