Agentic AI Solutions Architect - Remote, Latin America

What You'll Do

• Client-Facing Technical Leadership (50%)
• Serve as the first point of contact for client technical requests and advanced automation needs
• Lead client discovery sessions to identify high-leverage opportunities for AI, LLMs, and agentic workflows
• Design integrated data and AI architectures connecting marketing platforms to data warehouses and LLM services
• Present technical recommendations to client stakeholders, focusing on the ROI of automation and agentic systems
• Troubleshoot integration issues, data discrepancies, and technical blockers across AI stacks
• Build trusted advisor relationships: clients should see you as their go-to expert in AI and Automation
• Solution Design & Implementation (50%)
• Design end-to-end agentic data and workflow architectures: data sources → automation platform / LLM → actions / dashboards
• Implement integrations and automation using tools like n8n, Make, Flowise, AWS Step Functions, custom APIs, and orchestration platforms (Airflow, Prefect, Temporal)
• Design and deploy agentic workflows for automated marketing tasks, data quality checks, and predictive analytics
• Develop and fine-tune LLM applications for data enrichment, content generation, and data segmentation
• Collaborate with data engineering teams on MLOps and automation pipeline development
• Document technical solutions, agent architecture patterns, and best practices for reusable deployment
• Test and validate the accuracy and performance of automation and AI-driven outputs

What We're Looking For

• 5+ years of experience in technical roles focused on software engineering, data integration, or analytics
• Agency, consultancy, or client services background with a strong understanding of client delivery
• Deep hands-on experience with data warehousing platforms such as Snowflake and BigQuery
• Proficiency with ETL / data integration tools including Glue, AirByte, Python, and custom APIs
• Strong SQL skills and experience with data modeling
• Proficiency in Python for scripting, data manipulation, and deploying AI / ML models
• Proven experience working with AI / ML / LLM technologies in a data or workflow automation context
• Client-facing experience including leading discovery sessions, presenting solutions, and managing stakeholder expectations
• Familiarity with cloud platforms (AWS, GCP, or Azure) and their AI / ML services
• Understanding of Generative AI use cases and prompt engineering best practices
• Strong written and verbal communication skills in English