Agentic AI Solutions Architect - Remote, Latin America
Remote · Linden, Upper Demerara-Berbice, Guyana
Job Summary
Agentic AI Solutions Architect responsible for leading client-facing AI and automation initiatives, designing end-to-end agentic architectures that connect data sources, automation platforms, LLM services, and dashboards; guiding discovery sessions, presenting ROI-focused recommendations, and troubleshooting integrations across AI stacks. The role emphasizes designing and implementing agentic workflows for automated marketing tasks, data enrichment, and predictive analytics, collaborating with data engineering teams, and documenting architectural patterns for reusable deployment. Requires 5+ years in technical roles, strong SQL and Python skills, experience with Snowflake/BigQuery, ETL tools, cloud platforms, and hands-on work with AI/ML/LLM technologies; remote work option with Linden, Guyana as a named location.
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
- Documentation of technical solutions, agent architecture patterns, and best practices for reusable deployment
- Experience with MLOps and automation pipeline development
- Knowledge of orchestration tools such as Airflow, Prefect, Temporal
- Experience with data automation platforms and integration with marketing platforms
- Experience deploying LLM applications for data enrichment, content generation, and data segmentation
- Ability to design end-to-end agentic data and workflow architectures
- Experience with data quality checks and predictive analytics in automation contexts
- Experience designing and deploying agentic workflows for automated marketing tasks
- Experience with modern automation tools (n8n, Make, Flowise)
- Experience with AWS Step Functions
Desired 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
- Documentation of technical solutions, agent architecture patterns, and best practices for reusable deployment
- Experience with MLOps and automation pipeline development
- Knowledge of orchestration tools such as Airflow, Prefect, Temporal
- Experience with data automation platforms and integration with marketing platforms
- Experience deploying LLM applications for data enrichment, content generation, and data segmentation
- Ability to design end-to-end agentic data and workflow architectures
- Experience with data quality checks and predictive analytics in automation contexts
- Experience designing and deploying agentic workflows for automated marketing tasks
- Experience with modern automation tools (n8n, Make, Flowise)
- Experience with AWS Step Functions
Apply with one swipe on Sorce. We auto-fill applications and apply on your behalf — no cover letters, no 40-minute forms.
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.