Senior AI Solution Architect

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Janea Systems

SiteLinkedInTodas as Vagas

11 - 50 funcionários

🏢 Corporativo

Enterprise • Software Development

A Janea Systems é uma empresa especializada em resolver desafios complexos de engenharia de software para grandes corporações. Confiada por líderes da indústria, ela desenvolveu parcerias de longo prazo com inovadores globais como Microsoft, ARM e Merck. Com uma equipe composta pelo top 1% dos engenheiros em todo o mundo, a Janea Systems entrega projetos de software críticos para a missão que impactam milhões de desenvolvedores e bilhões de consumidores diariamente. Sua expertise vai do 'kernel à nuvem', oferecendo soluções que otimizam e constroem tecnologias usadas por empresas da Fortune 500. Com mais de duas décadas de experiência, a Janea Systems destaca-se como líder no fornecimento de serviços de desenvolvimento de software de alto impacto, mantendo-se na vanguarda dos avanços do setor através de uma cultura de colaboração, adaptabilidade e aprendizado contínuo.

Descrição

• Design scalable architectures for machine learning platforms, AI services, and data processing pipelines. • Define system-level architectures that integrate machine learning models into distributed production systems. • Ensure high availability, scalability, and performance of ML-powered applications. • Architect end-to-end ML pipelines including data ingestion, feature engineering, training workflows, model serving, and monitoring. • Design ML infrastructure capable of supporting experimentation, training, and large-scale inference. • Guide teams in implementing modern MLOps practices across projects. • Provide architectural leadership to engineering teams implementing ML-enabled systems. • Establish best practices for system design, model integration, observability, and reliability. • Conduct architecture reviews and mentor engineers on building scalable ML-driven software systems. • Work closely with ML engineers, backend engineers, data engineers, and DevOps teams to design cohesive AI solutions. • Partner with client stakeholders to translate complex business requirements into scalable technical architectures. • Help guide technical decisions during project planning and delivery. • Stay current with advancements in machine learning infrastructure, distributed systems, and AI engineering. • Identify opportunities to improve the scalability and efficiency of ML systems across projects. • Contribute to internal knowledge sharing and architectural standards across Janea’s engineering teams.

🎯 Requisitos

• 10+ years of experience in software engineering, distributed systems, or backend architecture. • 5+ years of experience designing systems that incorporate machine learning or data-driven components. • Strong experience architecting large-scale, production-grade software systems. • Deep understanding of machine learning system architecture, model deployment patterns, and ML lifecycle management. • Strong programming experience in Python, Java, C#, or similar languages. • Experience designing systems in cloud environments (AWS, Azure, or GCP). • Experience with containerization and orchestration technologies such as Docker and Kubernetes. • Strong understanding of data pipelines, distributed systems, and microservices architectures. • Excellent system design, problem-solving, and technical leadership skills. • Strong written and spoken English communication skills. • Degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

🏖️ Benefícios

• Competitive compensation with benefits, paid vacation, and sick leave. • The opportunity to work with a globally diverse team of top engineering talent on the industry’s toughest engineering challenges. • Ultra-flexible working conditions – we provide a generous office equipment allowance so you can work from home, we can also provide you with a desk at an office/coworking facility near you, or use both. No business travel necessary. • An enjoyable, start-up work environment, with excellent opportunities for professional growth and development. • Flexible working hours – as a remote-first company, our focus has always been on getting the job done well, not when or where it gets done.