Job Overview
Location
ARGENTINA
Job Type
Full-time
Category
Data Science
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 to drive business value.
- • 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 MLOps and LLMOps standards, shaping Caylent’s technical win strategy, and strengthening the internal ML practice through mentorship and thought leadership.
- • Caylent is a global, fully remote company operating across Canada, the United States, and Latin America, with a people-first culture that values technological curiosity, diversity, and inclusion, celebrating the unique backgrounds of its team members known as 'Cayliens'.
- • In this role, you will deepen your expertise in cutting-edge ML and GenAI technologies, influence enterprise AI strategy at scale, mentor peers, contribute to reusable accelerators and reference architectures, and establish yourself as a trusted advisor who translates complex ML concepts into actionable business outcomes.
🎯 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, including the 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, etc.) with judgment to assess 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), RAG, and 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
- • Pay in USD
- • 100% remote work
- • Generous holidays and flexible PTO
- • Competitive phantom equity
- • Paid for exams and certifications
- • Individual professional development plan and annual stipend for Learning and Development
- • Work with an amazing worldwide team in an incredible corporate culture
Skills & Technologies
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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