Job Overview
Location
MEXICO
Job Type
Full-time
Category
Product Marketing Manager
Date Posted
April 21, 2026
Full Job Description
đź“‹ Description
- • Principal AI/ML Architect role at Caylent, a cloud-native services company specializing in AWS solutions, where you will serve as the most experienced ML voice across diverse customer engagements, shaping strategy and influencing architecture for AI systems on AWS.
- • Day-to-day responsibilities include leading end-to-end ML assessments, partnering with sales on proposals, serving as senior technical authority on client engagements, owning or orchestrating high-quality POCs, advising on ML operations standards, shaping Caylent’s win strategy for complex opportunities, and strengthening the ML practice through peer guidance and thought leadership.
- • Caylent is a global, fully remote company with teams in Canada, the United States, and Latin America, prioritizing people-first culture, technological curiosity, and inclusive collaboration across diverse backgrounds.
- • In this role, you will deepen your expertise in production ML systems at scale, influence architectural standards across the ML lifecycle, translate technical complexity into business value, and contribute to reusable accelerators and reference architectures that elevate Caylent’s ML practice.
🎯 Requirements
- • 10+ years in machine learning or AI with a proven track record of leading client-facing engagements in a consulting or advisory capacity.
- • Deep, current knowledge of the AWS ML and GenAI ecosystem, with ability to make and defend architectural decisions across the full ML lifecycle.
- • Deep expertise in at least two or three ML domains (e.g., traditional ML, computer vision, NLP, time series) and judgment to assess, architect, and advise across the broader ML landscape.
- • Proven ability to architect and govern production ML systems end-to-end, translating MLOps, LLMOps, and AI operations complexity into executable standards for engineering teams.
- • Deep expertise in foundation model adaptation (fine-tuning, alignment, inference optimization, distributed training) and RAG/agentic system design on AWS, including multi-agent architectures and human-in-the-loop patterns.
- • Proven ability to operate independently in complex customer environments, navigating ambiguity, aligning stakeholders, and translating ML tradeoffs into business risk and value for technical and executive audiences.
🏖️ Benefits
- • 100% remote work
- • Private Health Insurance
- • Flexible Time Off
- • Competitive phantom equity
- • Paid for exams and certifications
- • Peer bonus awards
- • State of the art laptop and tools
- • Equipment & Office Stipend
- • Individual professional development plan
- • Annual stipend for Learning and Development
- • Work with an amazing worldwide team and incredible corporate culture
About Caylent, Inc.
Caylent provides cloud-native engineering services and DevOps consulting, helping enterprises design, migrate, and manage workloads on Amazon Web Services. The company delivers containerization, infrastructure automation, CI/CD pipelines, and data platform modernization through dedicated engineering teams. Serving mid-market to Fortune 500 clients, Caylent focuses on accelerating cloud adoption, cost optimization, and security compliance across regulated industries including healthcare, fintech, and SaaS.
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