Salesforce AI Integration Architect

Position: Salesforce AI Integration Architect ID68517
Job Description
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.

WHY JOIN US

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

ABOUT THE ROLE

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.

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;

- 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.

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
, 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;

- Upper-intermediate English level.

NICE TO HAVES

- 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.

PERKS AND BENEFITS

- 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.