Agentic AI Solutions Architect - Remote, Latin America
Remote · United States
Job Summary
Agentic AI Solutions Architect at Bluelight leads client-facing technical work at the intersection of data engineering and AI. Designs end-to-end agentic architectures, integrates data sources, automation platforms, and LLM services, and delivers measurable ROI through automated marketing tasks and data workflows. Responsibilities include guiding discovery sessions, designing scalable data/AI architectures, implementing integrations with tools like n8n, Make, Flowise, AWS Step Functions, Airflow/Temporal, developing LLM applications for data enrichment and content generation, collaborating with data engineering teams on MLOps, documenting patterns and best practices, and validating performance of automation and AI-driven outputs. Requirements include 5+ years in technical roles, Snowflake/BigQuery experience, proficiency with ETL/data integration tools and Python, strong SQL, experience with AI/ML/LLM in automation contexts, client-facing delivery, and familiarity with AWS/GCP/Azure AI services; English communication essential. Benefits include competitive salary, generous PTO, flexible hours, remote work, and ongoing education.
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
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