#119904 - Senior Salesforce / Agentforce AI Integration Architect

LIFTED LLC
Texas City, United States of America
5 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote
Texas City, United States of America

Tech stack

API
Artificial Intelligence
Application Integration Architecture
Computing Platforms
User Authentication
Data as a Services
Data Governance
Data Infrastructure
Distributed Systems
Middleware
E2e Testing
Salesforce
Systems Architecture
Systems Integration
Apex Code
Large Language Models
Multi-Agent Systems
Prompt Engineering
Backend
Event Driven Architecture
AI Platforms
REST
gRPC
Automation Anywhere
Api Management
Mulesoft

Job description

We are seeking a Senior Salesforce / Agentforce AI Integration Architect to support the design and scaling of enterprise automation and AI-enabled integration capabilities. This role will focus on connecting internal AI-driven systems, data platform services, and Salesforce Agentforce environments through secure, scalable, and well-governed architecture patterns.

The ideal candidate brings deep Salesforce integration and customization experience, strong enterprise systems architecture skills, and practical understanding of LLM-based workflows, agent orchestration, and AI platform integration.

Enterprise experience strongly preferred., * Architect end-to-end integration designs connecting internal AI systems, data services, and Salesforce Agentforce environments.

  • Evaluate and recommend integration patterns across traditional APIs, Model Context Protocol, Agent-to-Agent approaches, and event-driven architectures.
  • Design scalable, secure, and maintainable distributed systems that support autonomous workflows and enterprise automation.
  • Define how autonomous systems interact safely and efficiently across cloud platforms, data services, and Salesforce environments.
  • Wrap complex backend processes into agentic tools using Invocable Apex methods, advanced Salesforce Flows, and custom prompt templates.
  • Design modular agent structures that avoid overloaded reasoning engines and support delegation across specialized autonomous agents.
  • Establish API contracts, semantic endpoint definitions, trust filters, authentication boundaries, and data exposure guardrails.
  • Collaborate with engineering, data, Salesforce administration, platform architecture, and security stakeholders.
  • Author Architectural Decision Records that map high-level requirements to technical constraints, trade-offs, and design decisions., * Salesforce
  • Salesforce Agentforce
  • Invocable Apex
  • Salesforce Flows
  • Custom prompt templates
  • Salesforce APIs and connectors
  • REST APIs
  • gRPC
  • Event-driven architecture
  • Salesforce Pub/Sub API
  • LLM and agentic AI workflow concepts
  • Architectural Decision Records

Location, Time & Engagement

  • Remote contract role.
  • Open to candidates in the United States, LATAM, EMEA, and APAC.
  • Must be able to collaborate effectively with U.S.-based stakeholders and cross-functional teams.
  • Full-time engagement, 40 hours per week.
  • Expected engagement through March 31, 2027.

Requirements

Do you have experience in gRPC?, Must-Have Skills

  • Strong experience with enterprise integrations and system architecture.
  • Deep experience integrating systems with Salesforce.
  • Strong experience with Apex methods, advanced Salesforce Flows, and custom prompt templates.
  • Experience designing and implementing APIs, including REST, gRPC, and event-driven architectures.
  • Experience with Salesforce APIs, connectors, and integration patterns.
  • Solid understanding of AI and LLM concepts, including prompt engineering, context management, context windows, and token conservation.
  • Experience with multi-step AI workflows, agent orchestration, and autonomous routing concepts.
  • Experience designing scalable and secure distributed systems.
  • Understanding of security, authentication, data governance, trust boundaries, and data exposure controls.
  • Experience documenting architecture decisions, technical constraints, and trade-offs.
  • Strong collaboration skills across engineering, data, platform, Salesforce, and security teams.

Nice-to-Have Skills

  • Experience with Model Context Protocol.
  • Experience with Agent-to-Agent integrations.
  • Experience with MuleSoft or middleware platforms.
  • Experience building or managing autonomous AI agents or micro-agent systems.
  • Familiarity with Salesforce Agentforce.
  • Experience with semantic tool discovery or AI-native integrations.
  • Knowledge of Salesforce Bulk APIs and Salesforce Connect.
  • Experience working in large-scale enterprise AI environments.

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