Position: Senior AI Platform Integration Architect (Salesforce / Agentforce)
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Location: Remote from LATAM (100% Remote)
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Contract Type: Full-time vendor (Contracted directly by Inallmedia.com)
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Time Zone Alignment: Central Time (CT) Β±2 hours
About Inallmedia.com
Inallmedia.com is a global technology and design firm focused on building impactful digital solutions through remote, distributed teams across LATAM. We partner with international clients across industries, providing long-term technical expertise, product innovation, and team augmentation.
For this specific role, you will be contracted directly by Inallmedia.com to join a high-impact innovation project for a world-renowned, fast-paced enterprise platform.
Project Overview
You will join a cutting-edge operational innovation squad tasked with revolutionizing enterprise workflows through advanced automation. In this role, you will lead the architectural design and implementation of next-generation integration solutions, bridging internal proprietary AI 'co-workers' and data platform services directly with the Salesforce Agentforce ecosystem.
This is a highly sophisticated, enterprise-scale challenge where you will balance reasoning latency, transaction throughput, and strict security boundaries to shape the future of autonomous agent-to-agent interactions.
Key Responsibilities
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Architect Integration Blueprints: Design and architect end-to-end integration blueprints connecting internal proprietary AI co-workers and data platform services directly into Salesforce Agentforce environments.
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Optimize AI Frameworks: Apply advanced engineering frameworks to select the most optimal integration pattern, balancing transaction throughput, reasoning latency, and operational costs.
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Enforce Decentralized Structures: Design decentralized micro-agent structures to prevent monolithic reasoning engines and enforce strict governance guardrails.
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Package Semantic Tools: Package complex backend processes into semantic tools for AI agents using Invocable Apex methods and Salesforce Flows.
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Data Orchestration: Coordinate high-scale, real-time data synchronization across distributed cloud systems.
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Technical Documentation: Author comprehensive Architectural Decision Records (ADRs) that seamlessly map High-Level Requirements against technical realities.
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Security & Governance: Establish strong authentication boundaries and data governance filters to protect critical corporate assets.
Must-Have Skills
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Enterprise Architecture: 8+ years of proven experience in Enterprise System Architecture and Integration Engineering.
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AI/LLM Orchestration: Strong track record in AI/LLM orchestration, including a foundational understanding of Large Language Model mechanics, context window optimization, and prompt engineering.
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Salesforce Integration Mastery: Expert-level mastery of Salesforce mechanics and architecture utilized for external integrations.
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Modern API Ecosystems: Expert-level experience with REST, gRPC, and event-driven, real-time streaming architectures.
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Security & Governance: Solid command over corporate data governance frameworks and enterprise-grade security protocols.
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Remote & Agile Mindset: Extensive experience working autonomously in Agile teams within 100% remote environments.
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Communication: Exceptional verbal and written English skills for daily technical collaboration.
Nice-to-Have Skills
- Hands-on experience with Model Context Protocol (MCP) or orchestrating Agent-to-Agent (A2A) automated interactions.
- Familiarity with hands-on Salesforce Agentforce configurations.
- Practical experience using enterprise middleware platforms like MuleSoft and native Salesforce APIs.
- Experience implementing semantic search and tool discovery systems for autonomous agents.
Time Zone & Collaboration
The role requires close collaboration with teams aligned to Central Time (CT). Full integration with the US-based team during core operational hours is expected, allowing for real-time collaboration and agile synchronization.
Language
All interviews, technical documentation, and daily communication will be conducted exclusively in English.
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