Salesforce AI Integration Architect

Salesforce AI Integration Architect

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. 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 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. The role requires deep expertise in Salesforce customization, LLM orchestration, and scalable distributed system design.

What You Will Do:

• 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.

Must Haves:

• 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.

Nice To Haves:

• 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.

Perks and Benefits:

• Remote work & local connection: Work where you feel most productive and connect with your team in periodic meet-ups.
• Legal presence in India: Full local compliance and structured work environment.
• Competitive compensation in INR: Dedicated budgets for growth, education, and wellness.
• Innovative projects: Work with modern technologies and global clients.