[Hiring] Senior AI Solution Architect @Janea Systems

Role Description

We are seeking an experienced Senior AI Software Architect to join our consulting engineering team. In this role, you will be responsible for designing scalable architectures for machine learning and AI-powered systems used by enterprise clients. You will work closely with engineering teams, ML specialists, and client stakeholders to architect production-ready AI platforms, data pipelines, and distributed systems that support advanced machine learning applications. As a senior technical authority, you will define architectural standards, guide complex AI system implementations, and help ensure that machine learning solutions are scalable, reliable, and maintainable in production environments.

Key Responsibilities

• Architecture & System Design:
  • 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.
• AI & ML Platform Engineering:
  • 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.
• Technical Leadership:
  • 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.
• Cross-Team Collaboration:
  • 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.
• Innovation & Thought Leadership:
  • 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.

Qualifications

• 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.

Ideal Candidates Will Also Have

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

Benefits

• 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.