Principal AI Solution Architect

Key Responsibilities

• Partner with business and technical stakeholders to identify and implement agentic AI and machine learning solutions that improve decision making, workflows, and automation

• Design and implement cloud native AI architectures using Microsoft Azure services and established AI design patterns

• Collaborate with Data Scientists and other AI Engineers to transform prototypes into production ready, scalable solutions

• Build, deploy, and operate enterprise scale machine learning pipelines, emphasizing reliability, performance, and security

• Orchestrate and configure infrastructure that enables low latency, resilient AI workloads, leveraging infrastructure as code and automation

• Contribute to reusable accelerators, templates, and patterns that improve delivery speed and consistency across teams

• Support CI/CD, monitoring, and operational practices for AI and ML systems in production environments

Required Technical Skills

• Strong experience with Microsoft Azure, including AI/ML services and cloud native architectures

• Hands on experience deploying and operating ML pipelines using Azure Machine Learning

• Proficiency in Python and modern software engineering practices

• Experience with automation and configuration management, including Ansible

• Solid understanding of MLOps, model lifecycle management, and CI/CD for AI systems

• Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes)

• Working knowledge of security, identity, and access control in enterprise cloud environments

Preferred Skills

• Experience with Microsoft Foundry

• Experience implementing or operating agentic AI systems

• Familiarity with data engineering tools such as Databricks, Spark, Azure Data Factory

• Experience integrating AI services (e.g., cognitive services, computer vision, unstructured data processing)

Experience Requirements

• 5+ years of experience in software engineering, AI engineering, or machine learning engineering roles

• Proven experience delivering production AI or ML solutions in a cloud environment

• Experience collaborating with cross functional teams across data science, engineering, and architecture

Ways of Working

• Ability to work independently as a contractor while integrating effectively with existing teams

• Strong communication skills, with the ability to explain complex technical concepts clearly

• Results oriented mindset with a focus on delivering business value quickly and reliably