Agentic AI Solutions Architect - Remote, Latin America

Bluelight is a leading software consultancy dedicated to designing and developing innovative technology that enhances users' lives. With a steadfast commitment to delivering exceptional service to our clients, Bluelight excels in its focus on quality and customer satisfaction. Our mission is not only to create cutting‑edge applications but also to foster a collaborative and enriching work environment where each team member can grow and thrive.

With a presence across the United States and Central/South America, Bluelight is in an exciting phase of expansion, continually seeking exceptional talent to join its dynamic and diverse community.

We are seeking an Agentic AI Solutions Architect to serve as the technical expert and primary point of contact for our clients' advanced AI, automation, and agentic workflow needs within the marketing data and analytics space. This is a hands‑on delivery role, you will design agentic systems and implement them, working across our data engineering, analytics, and product engineering teams to deliver high‑impact, automated outcomes for clients.

The ideal candidate has a background in agency or consultancy work within the Mar Tech or data analytics space and is passionate about applying cutting‑edge AI and automation to solve real‑world business problems. You are equally comfortable writing Python pipelines and presenting technical architectures to C‑level stakeholders. This position is ideal for someone who thrives in a fast‑paced, dynamic environment where everyone's opinions and efforts are valued and appreciated.

We value continuous learning, personal growth, and hard work, offering a collaborative environment. If you are eager to be part of a growing software consultancy, we invite you to apply and join us on this exciting journey.

• Client‑Facing Technical Leadership (50%):
• Serve as the first point of contact for client technical requests and advanced automation needs
• Lead client discovery sessions to identify high‑leverage opportunities for AI, LLMs, and agentic workflows
• Design integrated data and AI architectures connecting marketing platforms to data warehouses and LLM services
• Present technical recommendations to client stakeholders, focusing on the ROI of automation and agentic systems
• Troubleshoot integration issues, data discrepancies, and technical blockers across Mar Tech and AI stacks
• Build trusted advisor relationships: clients should see you as their go‑to expert in Marketing AI and Automation
• Solution Design & Implementation (50%):
• Design end‑to‑end agentic data and workflow architectures: data sources → automation platform/LLM → actions/dashboards
• Implement integrations and automation using tools like n8n, Make, Flowise, AWS Step Functions, custom APIs, and orchestration platforms (Airflow, Prefect, Temporal)
• Design and deploy agentic workflows for automated marketing tasks, data quality checks, and predictive analytics
• Develop and fine‑tune LLM applications for data enrichment, content generation, and data segmentation
• Collaborate with the data engineering team on MLOps and automation pipeline development
• Document technical solutions, agent architecture patterns, and best practices for reusable deployment
• Test and validate the accuracy and performance of automation and AI‑driven outputs

• 5+ years of experience in technical roles focused on marketing technology, 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 Big Query
• Proficiency with ETL/data integration tools including Glue, Air Byte, Python, and custom APIs
• Strong SQL skills and experience with data modeling
• Proficiency in Python for scripting, data manipulation, and deploying AI/ML models
• Experience with marketing platforms including Google Analytics 4, Meta Ads, Google Ads, and CRMs
• 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…