Agentic AI Solutions Architect - Remote, Latin America
Remote · Mar del Plata, Buenos Aires, Argentina
Job Summary
Agentic AI Solutions Architect responsible for leading client technical requests, designing end-to-end agentic data and workflow architectures, and implementing automation using tools like n8n, Make, Flowise, AWS Step Functions, and orchestration platforms. You will act as a trusted technical advisor to clients, connect marketing data to data warehouses and LLM services, troubleshoot integrations, and deliver ROI-focused AI solutions. Requires 5+ years in technical roles, hands-on experience with Snowflake/BigQuery, Python, SQL, ETL tools, cloud platforms, and a strong client-facing track record. Remote role with Argentina-based location; strong emphasis on designing end-to-end agentic architectures, data enrichment, content generation, and predictive analytics; collaboration with data engineering teams and documentation of best practices.
Required Qualifications
- 5+ years in software engineering, data integration, or analytics
- Agency/consultancy/client-services background
- Experience with Snowflake and BigQuery
- Experience with ETL/data integration tools (Glue, AirByte, Python, APIs)
- Strong SQL and data modeling
- Python proficiency for scripting and AI/ML deployment
- Experience with AI/ML/LLM in data/workflow automation
- Client-facing experience (discovery sessions, presenting solutions, stakeholder mgmt)
- Cloud platform familiarity (AWS, GCP, Azure) and their AI/ML services
- Generative AI use cases and prompt engineering best practices
- Excellent written and verbal English communication
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
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.