Bydrec, Inc.
AI Solutions Architect | Remote Opportunity - LATAM
Publicada há 4 meses
Candidatar no LinkedInSobre a vaga
<div><h2><!---->Sobre a vaga<!----></h2><div><p><span><strong><!---->Excellent opportunity to work REMOTELY with a U.S.-based company. Candidates living in Mexico, or all LATAM are welcome to apply.<!----><span><br></span><span><br></span></strong></span><span><strong><!---->About The Company<!----><span><br></span><span><br></span></strong></span><!---->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<span></span><a><!---->bydrec.com<!----></a><!---->.<!----><span><br></span><span><br></span><span><strong><!---->About The Role<!----><span><br></span><span><br></span></strong></span><!---->We are looking for an<span></span><span><strong><!---->AI Solutions Architect<!----></strong></span><span></span>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.<!----><span><br></span><span><br></span><!---->The ideal candidate has strong experience designing<span></span><span><strong><!---->AI-native architectures<!----></strong></span><!---->, integrating<span></span><span><strong><!---->LLM technologies<!----></strong></span><!---->, and building robust<span></span><span><strong><!---->data and machine learning pipelines<!----></strong></span><span></span>capable of supporting enterprise-level AI solutions.<!----><span><br></span><span><br></span><!---->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.<!----><span><br></span><span><br></span><span><strong><!---->Responsibilities<!----><span><br></span><span><br></span></strong></span><span></span></p><ul><li><!---->Design and implement scalable AI-native architectures for enterprise applications.<!----></li><li><!---->Architect and optimize data pipelines and semantic data models to support AI and machine learning workflows.<!----></li><li><!---->Integrate and orchestrate LLM APIs and generative AI services into production systems.<!----></li><li><!---->Develop and maintain AI and ML lifecycle processes, including deployment, monitoring, and evaluation.<!----></li><li><!---->Work closely with engineering teams to ensure reliable and secure AI system implementations.<!----></li><li><!---->Implement AI governance, observability, and evaluation frameworks for enterprise-grade solutions.<!----></li><li><!---->Collaborate with cross-functional teams including product, data, and engineering.<!----></li><li><!---->Ensure AI solutions align with data privacy, security, and responsible AI practices.<!----></li><li><!---->Participate in Agile/Scrum development processes and contribute to architectural decision-making.<!----><span><br></span><span><br></span></li></ul><span><strong><!---->Technical Requirements<!----><span><br></span><span><br></span></strong></span><span><ul><li><!---->8+ years of professional experience in AI/ML architecture, Data Science, or advanced Data Engineering roles.<!----></li><li><!---->Strong experience designing AI-driven architectures and scalable enterprise solutions.<!----></li><li><!---->Deep experience with Snowflake, including Cortex and Vector Search.<!----></li><li><!---->Strong programming skills in Python or R for AI and machine learning development.<!----></li><li><!---->Experience with MLOps frameworks, including model lifecycle management and deployment.<!----></li><li><!---->Strong knowledge of semantic modeling and data architecture design.<!----></li><li><!---->Hands-on experience integrating LLM APIs and generative AI platforms.<!----></li><li><!---->Experience implementing AI governance and observability frameworks.<!----></li><li><!---->Advanced English communication skills.<!----></li><li><!---->Bachelor’s degree in Computer Science, Engineering, or a related field.<!----><span><br></span><span><br></span></li></ul></span><span><strong><!---->Nice-to-Have Skills:<!----><span><br></span><span><br></span></strong></span><span><ul><li><!---->Experience with LangChain or similar AI orchestration frameworks.<!----></li><li><!---->Experience building AI-ready data pipelines and semantic architectures.<!----></li><li><!---->Knowledge of enterprise data privacy and security best practices.<!----></li><li><!---->Experience working with large-scale distributed systems.<!----></li><li><!---->Familiarity with CI/CD pipelines for AI or data applications.<!----></li><li><!---->Experience with Tableau or other BI tools for AI-driven analytics and visualization.<!----></li><li><!---->Familiarity with Generative AI evaluation and benchmarking frameworks.<!----></li></ul></span><p></p><button><span>…exibir mais</span></button><!----></div></div>