Agentic AI Solutions Architect - Remote, Latin America
Remote · Ecatepec de Morelos, México, Mexico
Job Summary
Agentic AI Solutions Architect leading client-facing design of end-to-end agentic AI architectures. Owns technical vision from discovery to production deployment, designing data and AI integrations that connect marketing platforms to data warehouses and LLM services. Implementations span 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 and content generation, collaborate with data engineering on MLOps, and document reusable deployment patterns. Requires strong experience with Snowflake/BigQuery, ETL/data-integration tooling, Python, SQL, cloud AI services, and a track record of client-facing solution delivery. Remote role with a Mexico City-area location available for in-person coordination as needed.
Required Qualifications
- 5+ years of experience in technical roles focused on software engineering, data integration, or analytics
- Agency, consultancy, or client services background with client delivery
- Deep hands-on experience with Snowflake and BigQuery
- Proficiency with ETL / data integration tools including Glue, AirByte, Python, and custom APIs
- Strong SQL skills and data modeling
- Proficiency in Python for scripting and deploying AI/ML models
- Proven experience with AI/ML/LLM technologies in data/workflow automation
- Client-facing experience including discovery sessions and stakeholder management
- Cloud platforms (AWS, GCP, Azure) and their AI/ML services
- Understanding of Generative AI use cases and prompt engineering
- English communication skills
- Experience designing end-to-end agentic data/workflow architectures
- Collaborative experience with data engineering and MLOps
- Knowledge of orchestration/automation tools (Airflow, Temporal, n8n, Make)
- Experience with data enrichment, content generation, and data quality checks
- Experience with data sources to actions dashboards pipelines
- Experience deploying agentic workflows for automated marketing tasks
Desired Qualifications
- 5+ years of experience in software engineering, data integration, or analytics
- Agency, consultancy, or client services background
- 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
- Experience designing end-to-end AI/automation architectures
- Experience with data engineering and MLOps concepts
- Experience with orchestration and automation tools such as Airflow, Temporal, n8n, Make
- Experience integrating marketing platforms to data warehouses and LLM services
- Experience deploying agentic workflows for automated tasks
- Experience with data quality checks and analytics dashboards
- Experience with data sources to actions dashboards pipeline
- Experience with LLM applications for data enrichment and content generation
- Experience working in a consulting or client-delivery environment
- Knowledge of agentic workflows and ROI-focused automation
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