Agentic AI Solutions Architect - Remote, Latin America
Remote · Fortaleza, Ceará, Brazil
Job Summary
Agentic AI Solutions Architect to lead end-to-end agentic data/workflow architectures and client engagements. Design and implement integrations and automation using tools like n8n, Make, Flowise, AWS Step Functions, and orchestration platforms (Airflow, Prefect, Temporal). Develop and fine-tune LLM applications for data enrichment, content generation, and data segmentation; collaborate with data engineering teams on MLOps and automation pipelines. Drive client discovery sessions, present technically compelling ROI-focused recommendations, troubleshoot integration issues, and deliver measurable automation outcomes. Requires 5+ years in technical roles, deep experience with data warehousing (Snowflake, BigQuery), Python, SQL, ETL/data integration, and strong communication for client-facing work.
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
- Knowledge of remote work options and Brazil-based location
Desired Qualifications
- 5+ years 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
- Willingness to work remotely with Brazil-based location ( Fortaleza, Ceará, Brazil)
- Knowledge of data orchestration and automation tools such as n8n, Make, Flowise, AWS Step Functions, Airflow, Prefect, Temporal
- Experience designing end-to-end agentic architectures and ROI-focused automation solutions
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