Salesforce AI Integration Architect ID68517 at AgileEngine | Austin | Rezi

Salesforce AI Integration Architect ID68517 at AgileEngine

Salesforce AI Integration Architect ID68517

AgileEngine · Austin

2 months ago

Salesforce AI Integration Architect ID68517

AgileEngine · Austin

2 months ago
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About the Role

We are seeking 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.

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
  • 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

Requirements

  • Authorized to work for any employer in the US
  • 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

Skills

  • Salesforce customization
  • LLM orchestration
  • Scalable distributed system design
  • REST APIs
  • gRPC
  • Event-driven architectures
  • Salesforce Flows
  • Invocable Apex methods
  • Salesforce APIs
  • Salesforce connectors
  • Custom prompt templates
  • Prompt engineering
  • Context management
  • Token conservation
  • LLM orchestration
  • Authentication
  • Security
  • Trust boundaries
  • Data governance
  • Model Context Protocol (MCP)
  • Agent-to-Agent (A2A) integrations
  • MuleSoft
  • Enterprise middleware platforms
  • Salesforce Agentforce
  • Autonomous AI agents
  • Micro-agent ecosystems
  • Semantic tool discovery
  • AI-native integrations
  • Salesforce Bulk APIs
  • Salesforce Connect

Location

  • Remote
  • Office options

Work Type

  • Flextime
  • Remote
  • Office

Experience Level

  • 6+ years of experience designing enterprise integrations and distributed system architectures

Benefits

  • Mentorship
  • TechTalks
  • Personalized growth roadmaps
  • Competitive compensation
  • USD-based pay
  • Education budgets
  • Fitness budgets
  • Team activity budgets
  • Modern solutions with Fortune 500 and top product companies
  • Flexible schedule

About the Company

  • AgileEngine 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.