Salesforce AI Integration Architect ID68517, Amsterdam

Job Information Full time | AgileEngine | United States

Posted On 05/28/2026

City Fort Lauderdale

State/Province Florida

33301

IT Services

Job Description 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, andscalable 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

You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time

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

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

#J-18808-Ljbffr