Salesforce AI Integration Architect (Indore)
Salesforce AI Integration Architect (Indore)
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Indore, India
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Posted: less than a week ago
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Description
About the role 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;
- Solid 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 to strengthen your network and connect with other top experts.
- Legal presence in India: We ensure full local compliance with a structured, secure work setting tailored to Indian regulations.
- Competitive Compensation in INR: Fair compensation in INR with dedicated budgets for your personal growth, education, and wellness.
- Innovative Projects: Leverage the latest tech and create cutting-edge solutions for world-recognized clients and the hottest startups. Apply on Kit Job: kitjob.in/job/4mtyy0
- 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;
- Solid 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 to strengthen your network and connect with other top experts.
- Legal presence in India: We ensure full local compliance with a structured, secure work setting tailored to Indian regulations.
- Competitive Compensation in INR: Fair compensation in INR with dedicated budgets for your personal growth, education, and wellness.
- Innovative Projects: Leverage the latest tech and create cutting-edge solutions for world-recognized clients and the hottest startups. Apply on Kit Job: kitjob.in/job/4mtyy0
Highlights
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Company nameAgileEngine
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Job positionSalesforce AI Integration Architect (Indore)
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