Agentic AI Solutions Architect - Remote, Latin America
Remote · Guadalupe, Zacatecas, Mexico
Job Summary
Agentic AI Solutions Architect role at Bluelight leading client-facing technical leadership and end-to-end design of agentic data workflows using LLMs; responsibilities include leading discovery sessions, designing architectures connecting marketing platforms to data warehouses and LLM services, implementing integrations with n8n/Make/Flowise/AWS Step Functions, building agentic workflows for automated marketing tasks, data quality checks, and predictive analytics, collaborating with data engineering teams on MLOps and automation pipeline development, and documenting solutions and best practices. Requires 5+ years in technical roles, experience with Snowflake/BigQuery, ETL tools, Python, SQL, cloud platforms, AI/LLM technologies, and strong client-facing communication.
Required Qualifications
- 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
Desired Qualifications
- 5+ years of experience in software engineering, data integration, or analytics
- Agency, consultancy, or client services background
- Proficiency 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
- Excellent written and verbal communication in English
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