AI Solutions Architect | Remote Opportunity - LATAM - Bydrec

AI Solutions Architect | Remote Opportunity - LATAM

Remote

Contracted to Full Time

Experienced

Excellent opportunity to work REMOTELY with a U.S.-based company. Candidates living in Mexico, or all LATAM are welcome to apply.

About the Company

Bydrec, Inc. is a California-based company that connects top Tech talent from Latin America with U.S. companies looking to expand their development teams. Learn more at bydrec.com.

About the Role

We are looking for an AI Solutions Architect to join a global engineering team working on advanced AI-driven solutions. In this role, you will collaborate closely with designers, engineers, and data teams to design and implement scalable AI architectures that power intelligent products and enterprise systems.

The ideal candidate has strong experience designing AI-native architectures, integrating LLM technologies, and building robust data and machine learning pipelines capable of supporting enterprise-level AI solutions.

You will work directly with U.S.-based teams, contributing to the architecture, development, and optimization of AI-driven platforms while ensuring scalability, governance, and high-performance deployment.

Responsibilities:

Design and implement scalable AI-native architectures for enterprise applications.
Architect and optimize data pipelines and semantic data models to support AI and machine learning workflows.
Integrate and orchestrate LLM APIs and generative AI services into production systems.
Develop and maintain AI and ML lifecycle processes, including deployment, monitoring, and evaluation.
Work closely with engineering teams to ensure reliable and secure AI system implementations.
Implement AI governance, observability, and evaluation frameworks for enterprise-grade solutions.
Collaborate with cross-functional teams including product, data, and engineering.
Ensure AI solutions align with data privacy, security, and responsible AI practices.
Participate in Agile/Scrum development processes and contribute to architectural decision-making.

Technical Requirements:

8+ years of professional experience in AI/ML architecture, Data Science, or advanced Data Engineering roles.
Strong experience designing AI-driven architectures and scalable enterprise solutions.
Deep experience with Snowflake, including Cortex and Vector Search.
Strong programming skills in Python or R for AI and machine learning development.
Experience with MLOps frameworks, including model lifecycle management and deployment.
Strong knowledge of semantic modeling and data architecture design.
Hands-on experience integrating LLM APIs and generative AI platforms.
Experience implementing AI governance and observability frameworks.
Advanced English communication skills.
Bachelor’s degree in Computer Science, Engineering, or a related field.

Nice-to-Have Skills:

Experience with LangChain or similar AI orchestration frameworks.
Experience building AI-ready data pipelines and semantic architectures.
Knowledge of enterprise data privacy and security best practices.
Experience working with large-scale distributed systems.
Familiarity with CI/CD pipelines for AI or data applications.
Experience with Tableau or other BI tools for AI-driven analytics and visualization.
Familiarity with Generative AI evaluation and benchmarking frameworks.

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How many years of professional experience do you have working in AI/ML architecture, Data Science, or advanced Data Engineering roles?*

Do you have hands-on experience working with Snowflake, including Cortex and Vector Search, designing AI-native architectures?*

Which programming languages have you used for AI/ML development ? PythonROther

Do you have experience implementing MLOps frameworks (model lifecycle management, testing, and deployment)?*

Have you designed AI-ready data pipelines or semantic data models for large-scale systems?*

Do you have experience integrating external LLM APIs (such as OpenAI, Anthropic, etc.) including prompt management and performance optimization?*

Have you implemented AI governance, observability, or evaluation frameworks in enterprise environments?*

Do you have experience working with LangChain or similar AI orchestration/agent frameworks?*

On a scale from 1 to 10, where 10 represents native-level English, how would you rate your English proficiency?*

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AI Solutions Architect | Remote Opportunity - LATAM

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