Agentic AI Solutions Architect - Remote, Latin America
Remote · Cartagena, Bolívar, Colombia
Job Summary
Agentic AI Solutions Architect role focused on designing and delivering end-to-end agentic data and AI architectures for clients. Responsible for leading client discovery sessions, translating business needs into integrated data and AI solutions, and implementing end-to-end workflows that connect data sources, automation platforms, and LLM services. The role emphasizes hands-on design and deployment of agentic pipelines, data enrichment and content generation tasks, and collaboration with data engineering teams on MLOps. Requires experience with data warehousing (Snowflake, BigQuery), ETL/data integration tools (Glue, AirByte, Python, APIs), SQL and data modeling, Python scripting for AI/ML, familiarity with cloud platforms (AWS, GCP, Azure), and a solid understanding of Generative AI use cases and prompt engineering. Strong client-facing skills, ability to communicate ROI of automation, and experience in consultancy or client services are essential; the candidate should be comfortable working in a remote, distributed environment and contributing to both solution design and implementation across AI and automation domains.
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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