Senior AI Solution Architect

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
• Architect end-to-end ML pipelines including data ingestion, feature engineering, training workflows, and model serving
• Provide architectural leadership and mentor engineers on building scalable ML-driven software systems
• Partner with client stakeholders to translate business requirements into technical architectures
• Stay current with advancements in machine learning infrastructure and distributed systems

Requirements

• 10+ years of experience in software engineering, distributed systems, or backend architecture
• 5+ years of experience designing systems with machine learning or data-driven components
• Deep understanding of ML system architecture and model deployment patterns
• Strong programming experience in Python, Java, or C#
• Experience with cloud environments (AWS, Azure, or GCP)
• Experience with Docker and Kubernetes
• Strong understanding of data pipelines and microservices architectures
• Degree in Computer Science, AI, Machine Learning, or a related field
• Strong English communication skills

Preferred Qualifications

• Experience designing ML platforms or internal AI infrastructure
• Experience with LLMs, generative AI systems, or deep learning architectures
• Familiarity with large-scale distributed training environments
• Experience with feature stores or ML observability tooling
• Experience in client-facing consulting environments

About the Company

Janea Systems is a dynamic team of software engineering specialists and solutions innovators providing high-impact software development services to Fortune 500 companies, from kernel to cloud.