Senior AI Solution Architect

Janea Systems is seeking an experienced Senior AI Software Architect to design scalable architectures for machine learning and AI-powered systems used by enterprise clients. The role involves working closely with engineering teams, ML specialists, and stakeholders to architect production-ready AI platforms, data pipelines, and distributed systems, providing technical leadership and establishing architectural standards.

Location: Fully Remote/ European Residence required

Responsibilities

• 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.

Requirements

• 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.

Benefits

• Competitive compensation with benefits, paid vacation, and sick leave.
• Opportunity to work with a globally diverse team of top engineering talent.
• Ultra-flexible working conditions with equipment allowance for remote work or coworking space.
• An enjoyable, start-up work environment with opportunities for professional growth.
• Flexible working hours, with a focus on results rather than location or hours.