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.
