Agentic AI Solutions Architect - Remote, Latin America
Remote · Mendoza, Mendoza, Argentina
Job Summary
Agentic AI Solutions Architect at Bluelight, remote-friendly with Mendoza, Argentina as a working location. You will sit at the intersection of client strategy, data engineering, and applied AI, owning the technical vision for how clients use LLMs and agentic workflows to transform operations—from discovery through production deployment. Responsibilities include leading client discovery sessions, designing end-to-end agentic data and workflow architectures (data sources → automation platform / LLM → actions / dashboards), implementing integrations with tools like n8n, Make, Flowise, AWS Step Functions, and orchestration platforms (Airflow, Prefect, Temporal), developing and fine-tuning LLM applications, collaborating with data engineering teams on MLOps, and documenting solutions and best practices. Requires 5+ years in technical roles, deep hands-on experience with Snowflake and BigQuery, proficiency with ETL/data integration tools, strong SQL, Python, and experience with AI/LLM technologies in data/workflow automation, plus client-facing capabilities and cloud familiarity. Benefits include salary and bonuses, generous PTO, flexible hours, remote work, continuing education, and company-sponsored coursework.
Required Qualifications
- 5+ years in technical roles focused on software engineering, data integration, or analytics
- Agency, consultancy, or client services background with client delivery
- 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
- Experience with AI / ML / LLM technologies in data or workflow automation
- 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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