Key Facts

Remote From:

Brazil , Costa Rica , Colombia , Argentina , Mexico

Full time

Senior (5-10 years)

English

Hard Skills

Enterprise Architecture Salesforce Risk Governance Salesforce

Other Skills

•
Communication

Roles & Responsibilities

8+ years of proven experience in Enterprise System Architecture and Integration Engineering
Strong track record in AI/LLM orchestration, including a foundational understanding of Large Language Model mechanics
Expert-level mastery of Salesforce mechanics and architecture utilized for external integrations
Extensive experience working autonomously in Agile teams within 100% remote environments

Requirements:

Design and architect end-to-end integration blueprints connecting internal proprietary AI co-workers and data platform services into Salesforce Agentforce environments
Apply advanced engineering frameworks to select the most optimal integration pattern
Design decentralized micro-agent structures to prevent monolithic reasoning engines
Authorize comprehensive Architectural Decision Records (ADRs) that map High-Level Requirements against technical realities

In All Media

About In All Media

In All Media is a trailblazing Nearshore Managed Service Provider, laser-focused on Team Augmentation for software development. We craft bespoke, highly specialized teams that effortlessly merge with our client's processes and culture, delivering unparalleled results. Our Austin headquarters anchors our global reach, with a diverse talent pool distributed across the Americas, Europe, and Asia. This allows us to execute our Nearshore model efficiently in all three regions. Since our inception, we have employed an agile, remote, and distributed model, allowing us to tap into the world's finest technical talent, regardless of location, adapting methodologies like SAFe to perfectly align with our client's needs. We source our exceptional talent from Coderfull, our exclusive community boasting over 5,000 rigorously vetted engineers. Our teams are formed and trained within this community, with specialized interest groups focusing on cutting-edge technologies making In All Media a true Community Lead Enterprise. Our Community teams have a proven track record of collaboration, in-depth knowledge of each other's strengths, and exceptional team dynamics. This synergy results in rapid onboarding, heightened productivity, and an unwavering commitment to success. Our teams embrace flexibility and benefit from a thriving community spirit, abundant career growth opportunities, and a stable compensation model. Our proprietary Community Management platform streamlines talent management, empowering them to efficiently handle daily work, career development, and administrative tasks. AI has captivated our community with its potential to revolutionize our industry so we are harnessing AI to augment, not replace, human skills investing heavily in AI tools, training, and partnerships, to increase our team’s productivity and guide our clients toward a future-ready AI adoption strategy. Experience the In All Media difference today.

Founded: 2018

Company size: 1001 - 5000

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Job description

Position: Senior AI Platform Integration Architect (Salesforce / Agentforce)

Location: Remote from LATAM (100% Remote)
Contract Type: Full-time vendor (Contracted directly by Inallmedia.com)
Time Zone Alignment: Central Time (CT) ±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

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.
Optimize AI Frameworks: Apply advanced engineering frameworks to select the most optimal integration pattern, balancing transaction throughput, reasoning latency, and operational costs.
Enforce Decentralized Structures: Design decentralized micro-agent structures to prevent monolithic reasoning engines and enforce strict governance guardrails.
Package Semantic Tools: Package complex backend processes into semantic tools for AI agents using Invocable Apex methods and Salesforce Flows.
Data Orchestration: Coordinate high-scale, real-time data synchronization across distributed cloud systems.
Technical Documentation: Author comprehensive Architectural Decision Records (ADRs) that seamlessly map High-Level Requirements against technical realities.
Security & Governance: Establish strong authentication boundaries and data governance filters to protect critical corporate assets.

Must-Have Skills

Enterprise Architecture: 8+ years of proven experience in Enterprise System Architecture and Integration Engineering.
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.
Salesforce Integration Mastery: Expert-level mastery of Salesforce mechanics and architecture utilized for external integrations.
Modern API Ecosystems: Expert-level experience with REST, gRPC, and event-driven, real-time streaming architectures.
Security & Governance: Solid command over corporate data governance frameworks and enterprise-grade security protocols.
Remote & Agile Mindset: Extensive experience working autonomously in Agile teams within 100% remote environments.
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.