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.
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 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
-
Professional growth
: Mentorship, TechTalks, and personalized growth roadmaps.
-
Competitive compensation
: USD-based pay with education, fitness, and team activity budgets.
-
Exciting projects
: Modern solutions with Fortune 500 and top product companies.
-
Flextime
: Flexible schedule with remote and office options.
Meet Our Recruitment Process
Application â Coding Challenge â Video Interview â Technical Interview or Hiring Manager Interview
Each step helps us understand your skills and overall fit.
If it’s a match, you’ll receive an offer.
