Senior AI Solution Architect

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.

To be considered for this position, you must have the following qualifications

• 10+ years of experience in software engineering, distributed systems