Agentic AI Solutions Architect - Remote, Latin America
Remote · Mexicali, Baja California, Mexico
Job Summary
Agentic AI Solutions Architect leads client-facing technical design of agentic AI architectures, integrates data sources, LLM services, and automation workflows, and collaborates across data engineering to deliver end-to-end data-to-automation solutions. Responsibilities include designing end-to-end agentic data and workflow architectures (data sources → automation platform / LLM → actions / dashboards), implementing integrations using tools such as n8n, Make, Flowise, AWS Step Functions, custom APIs, and orchestration platforms (Airflow, Prefect, Temporal), developing LLM-enabled data enrichment and content-generation workflows, ensuring data quality and measurable ROI, and documenting architectures and best practices for reusable deployments. The role requires client discovery, presenting solutions, and guiding stakeholders through technical decision-making, with emphasis on ROI of automation and agentic systems.
Required Qualifications
- 5+ years of experience in software engineering, data integration, or analytics
- Agency, consultancy, or client services background
- 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
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