Solution Architect, AI & Agentic Systems (Governance)

Monterrey
Montevideo
Remote.AR
Remote.Colombia
Rosario

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Position overview

We are working with a leading organization in the hospitality industry, supporting a portfolio of strategic digital initiatives across its technology landscape. The engagement includes multiple parallel initiatives: development of a new web application, development of the Analytics Data Lake, and the introduction of AI-driven capabilities based on agentic architectures.

A governance team leads the discovery phase and ensures architectural consistency and sound technical decisions across key workstreams. We are looking for a Solution Architect with strong experience in AI systems, particularly agent-based architectures, to join this governance team and take ownership of architectural alignment across AI and web application initiatives.

This role requires a broad architectural mindset combined with hands-on experience designing and implementing AI solutions using modern agent frameworks. The architect will operate as a technical authority across teams, driving architectural decisions, enforcing standards, and ensuring alignment between business goals and AI-enabled solutions. This is a highly client-facing role requiring strong communication skills and the ability to influence stakeholders. The position might require travelling to Cancún, México.

Responsibilities

Define and enforce architectural standards and guardrails across AI and web initiatives.
Ensure consistency, scalability, security, and maintainability of solutions.
Review and validate key technical decisions made by delivery teams.
Design and oversee agent based systems leveraging modern frameworks such as LangChain, OpenAI Agents SDK, LlamaIndex, and Semantic Kernel.
Define patterns for agent orchestration, tool usage, memory management, and multi agent collaboration.
Establish best practices for prompt design, evaluation, and continuous improvement of AI systems.
Ensure robustness against common risks, including hallucinations, prompt injection, and tool misuse.
Define integration patterns between agents and enterprise systems such as APIs, databases, and event streams.
Provide architectural oversight for Salesforce migration initiatives.
Ensure alignment between Salesforce solutions, AI capabilities, and the broader application ecosystem.
Guide integration patterns and data flows across systems.
Support the definition of the target architecture for the new web platform.
Evaluate technology options during discovery and guide decision making.
Ensure seamless integration with AI services and Salesforce.
Promote AI first development practices, including agent assisted SDLC workflows.
Define how AI agents can be embedded into development, QA, and operational processes.
Support teams in adopting frameworks, tools, and patterns for building AI powered features.
Work closely with Tech Leads, AI engineers, and product teams across initiatives.
Engage with client stakeholders to explain AI and architectural decisions, trade offs, and risks.
Drive alignment and facilitate decision making across business and technology teams.

Requirements

7+ years of experience in software architecture or senior technical roles.
Proven experience designing and implementing AI solutions, particularly agent based systems.
Experience with evaluation frameworks for AI systems, including prompt evaluation, agent evaluation, and benchmarking.
Experience with Model Context Protocol MCP or similar approaches for tool and context management.
Experience with vector databases and retrieval systems.
Experience designing multi agent systems or complex orchestration workflows.
Hands on experience with agent frameworks such as LangChain, OpenAI Agents SDK, LlamaIndex, Semantic Kernel, or similar tools.
Strong understanding of LLM capabilities, limitations, and integration patterns, including RAG, tools, and orchestration.
Experience designing modern web application architectures.
Strong understanding of integration patterns and distributed systems.
Experience in cloud environments such as AWS, GCP, or Azure.
Experience working in consulting or services environments with enterprise clients.
Strong communication and stakeholder management skills.
Native Spanish and professional English.

Nice to have

Experience with Salesforce Experience Cloud or alternative frontend architectures.
Experience in multi vendor environments.
Experience working with or integrating Salesforce platforms.

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