Senior Salesforce, Agentforce AI Platform Integration Architect

Jobtailor; Deutschland; Vor Ort; EUR 120.000 - 180.000; Vollzeit

Zusammenfassung

Jobtailor in Germany seeks an Architect to design end-to-end integration solutions linking internal AI co-worker platforms and enterprise data services with Salesforce Agentforce environments. You will define integration blueprints and build scalable, secure distributed architectures across cloud-native ecosystems.

The role requires deep expertise in LLM orchestration, prompt engineering, context window management, token conservation, and event-driven patterns.

Qualifikationen

• Strong understanding of LLM orchestration
• Strong understanding of prompt engineering
• Strong understanding of context window management
• Strong understanding of token conservation strategies
• Strong understanding of multi-step AI workflows
• Strong understanding of agent orchestration frameworks
• Experience designing autonomous routing systems leveraging semantic understanding and tool execution
• Proven expertise in enterprise integrations and scalable system architecture
• Strong experience with REST APIs
• Strong experience with gRPC
• Strong experience with event-driven architectures
• Strong experience with Salesforce Pub/Sub API
• Deep expertise with Apex methods
• Deep expertise with Advanced Salesforce Flows
• Deep expertise with custom prompt templates
• Strong experience integrating enterprise systems with Salesforce platforms
• Strong understanding of authentication and authorization models
• Strong understanding of secure API design
• Strong understanding of data governance
• Strong understanding of enterprise trust boundaries
• Experience documenting architecture decisions and technical trade-offs
• Strong communication and cross-functional collaboration skills
• Ability to partner across engineering, security, data, and platform teams

Aufgaben

• Architect end-to-end integration solutions connecting internal AI co-worker platforms and enterprise data services with Salesforce Agentforce environments
• Design scalable and secure distributed architectures across cloud-native enterprise ecosystems
• Define integration blueprints using APIs, event-driven systems, and autonomous agent orchestration patterns
• Design modular autonomous AI and micro-agent ecosystems to prevent overloaded reasoning engines
• Establish governance standards for agent specialization, delegation boundaries, and semantic task routing
• Evaluate and select optimal integration approaches, including REST APIs, gRPC services, event-driven architectures, and Model Context Protocol (MCP)
• Build and integrate Salesforce-native AI capabilities using Invocable Apex methods, Advanced Salesforce Flows, and custom prompt templates
• Enable intelligent workflows and autonomous execution capabilities within Salesforce ecosystems
• Establish authentication boundaries, trust filters, and secure access controls for AI-driven enterprise workflows
• Define data governance standards for sensitive enterprise information

Kenntnisse

LLM orchestration

Prompt engineering

Context windows

Token conservation

Multi-step workflows

Agent orchestration

Enterprise integrations

REST APIs

gRPC

Event-driven

Salesforce Pub/Sub

Apex methods

Advanced Flows

Prompt templates

Salesforce integration

Auth & security

Data governance

Trust boundaries

Architecture decisions

Cross-functional collab

Stakeholder alignment

Tools

REST APIs

gRPC

Event-driven

Salesforce Pub/Sub API

Apex

Advanced Flows

Prompt templates

Salesforce integration

Jobbeschreibung

• Architect end-to-end integration solutions connecting internal AI co-worker platforms and enterprise data services with Salesforce Agentforce environments
• Design scalable and secure distributed architectures across cloud-native enterprise ecosystems
• Define integration blueprints using APIs, event-driven systems, and autonomous agent orchestration patterns
• Design modular autonomous AI and micro-agent ecosystems to prevent overloaded reasoning engines
• Establish governance standards for agent specialization, delegation boundaries, and semantic task routing
• Evaluate and select optimal integration approaches, including REST APIs, gRPC services, event-driven architectures, and Model Context Protocol (MCP)
• Build and integrate Salesforce-native AI capabilities using Invocable Apex methods, Advanced Salesforce Flows, and custom prompt templates
• Enable intelligent workflows and autonomous execution capabilities within Salesforce ecosystems
• Establish authentication boundaries, trust filters, and secure access controls for AI-driven enterprise workflows
• Define data governance standards for sensitive enterprise information

Requirements

• Strong understanding of Large Language Model (LLM) orchestration
• Strong understanding of prompt engineering
• Strong understanding of context window management
• Strong understanding of token conservation strategies
• Strong understanding of multi-step AI workflows
• Strong understanding of agent orchestration frameworks
• Experience designing autonomous routing systems leveraging semantic understanding and tool execution.
• Proven expertise in enterprise integrations and scalable system architecture
• Strong experience with REST APIs
• Strong experience with gRPC
• Strong experience with event-driven architectures
• Strong experience with Salesforce Pub/Sub API
• Deep expertise with Apex methods
• Deep expertise with Advanced Salesforce Flows
• Deep expertise with custom prompt templates
• Strong experience integrating enterprise systems with Salesforce platforms.
• Strong understanding of authentication and authorization models
• Strong understanding of secure API design
• Strong understanding of data governance
• Strong understanding of enterprise trust boundaries
• Experience documenting architecture decisions and technical trade-offs.
• Strong communication and cross-functional collaboration skills
• Ability to partner across engineering, security, data, and platform teams