Salesforce AI Integration Architect

Full time | Agile Engine | United States

Posted On 06/03/2026

City Dallas

State/Province Texas

75201

IT Services

Agile 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.

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

We are looking for a Salesforce AI Integration Architect to design and build enterprise integrations between internal AI platforms, enterprise systems, and Salesforce Agentforce environments, enabling autonomous AI workflows  will architect distributed systems and multi-step agentic AI orchestration patterns, develop Salesforce-native integrations, and establish governance, security, and trust frameworks for AI-enabled enterprise solutions. The role requires deep expertise in Salesforce customization, AI/LLM orchestration, enterprise integrations, and scalable distributed system design.

• 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.

• 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

• 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 Mule Soft 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.

• Professional growth
  :
  Accelerate your professional journey with mentorship, Tech Talks, and personalized growth roadmaps.
• Competitive compensation
  :
  We match your ever-growing skills, talent, and contributions with competitive USD-based compensation.
• Exciting projects
  :
  Join projects with modern solutions development and top-tier clients, including Fortune 500 enterprises and leading product brands.
• Flextime
  :
  Tailor your schedule for an optimal work-life balance, with options for remote work and flexible hours.