Agentic AI Solutions Architect - Remote, Latin America
Remote · Puebla, Puebla, Mexico
Job Summary
Agentic AI Solutions Architect at Bluelight responsible for leading client-facing technical initiatives and designing end-to-end agentic data/workflow architectures. You will connect marketing platforms to data warehouses and LLM services, implement integrations using tools like n8n, Make, Flowise, AWS Step Functions, and orchestrators (Airflow, Prefect, Temporal), and drive automation for marketing tasks, data quality checks, and predictive analytics. The role balances client discovery sessions, solution design, and hands-on implementation, requiring strong experience in AI/ML/LLM technologies, data integration, cloud platforms, and effective communication with stakeholders.
Required Qualifications
- 5+ years of experience in 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 with 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
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