Tech Solutions Lead (AI)

TL;DR

Tech Solutions Lead (AI/Architecture): Designing and delivering scalable enterprise solution architectures with an accent on AI integration and rapid prototyping. Focus on bridging the gap between business needs and technical execution, implementing LLM-based agents, and optimizing cloud-native systems.

Location: Must be based in Brazil, Colombia, or Mexico (Remote available in Colombia; Hybrid in Brasilia, Mexico City, and Bogota)

Company

hirify.global is the world's largest communications firm, specializing in trust-based communication and global brand strategy.

What you will do

• Design and document end-to-end solution architectures aligned with business requirements, security, and scalability.
• Lead proof-of-concept builds and rapid prototyping to validate AI-driven solution approaches and de-risk architecture decisions.
• Translate architectural designs into production-quality systems using clean code, CI/CD pipelines, and observability.
• Engage with business and technical stakeholders to shape practical solutions through workshops and discovery sessions.
• Evaluate and recommend technology stacks, specifically AI platforms and modern development tooling.

Requirements

• Strong foundation in enterprise technology design, software delivery, and multi-system architecture.
• Hands-on experience with Generative AI platforms, Large Language Models (LLMs), and prompt engineering.
• Proficiency in Python and modern application frameworks (e.g., FastAPI).
• Experience with cloud-native architectures on Azure, AWS, or GCP.
• Bachelor's Degree in Computer Science, Software Engineering, or equivalent practical experience.
• Must be based in Brazil, Colombia, or Mexico.

Nice to have

• Experience with Databricks (Delta Lake, MLflow) and Snowflake.
• Knowledge of AI agent frameworks and intelligent automation.
• Experience in consulting or rapid prototyping for enterprise clients.

Culture & Benefits

• Opportunity to work at the intersection of architecture, AI, and consulting.
• Hands-on delivery of generative AI in real-world enterprise settings.
• Culture that values intellectual curiosity, engineering quality, and bold action.
• Mentorship and growth opportunities from senior technology and business leadership.
• Inclusive workplace environment focused on diversity, equity, and belonging.