Agentic AI Solutions Architect - Remote, Latin America
Remote · Rio de Janeiro, Rio de Janeiro, Brazil
Job Summary
Agentic AI Solutions Architect at Bluelight (Remote, Latin America) leads client-facing technical initiatives, designing end-to-end agentic data and workflow architectures that leverage AI, LLMs, and automation. Responsibilities include leading discovery sessions with clients, designing integrated data and AI architectures (data sources → automation platforms/LLM → actions/dashboards), implementing integrations using tools like n8n, Make, Flowise, AWS Step Functions, custom APIs, and orchestration platforms (Airflow, Prefect, Temporal); developing and refining LLM applications for data enrichment, content generation, and data segmentation; collaborating with data engineering teams on MLOps and automation pipelines; and documenting solutions, patterns, and best practices. The role requires strong client-facing skills, experience with data warehouses (Snowflake, BigQuery), ETL/data integration tools, Python, SQL, and familiarity with cloud AI services, plus understanding of Generative AI use cases and prompt engineering; remote work is supported and English communication is required.
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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