Principal Solution Architect
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Overview
Job Description
Key ResponsibilitiesAs an AI Engineer, you will:a €¢ Partner with business and technical stakeholders to identify and implement agentic AI and machine learning solutions that improve decision making, workflows, and automationa €¢ Design and implement cloud native AI architectures using Microsoft Azure services and established AI design patternsa €¢ Collaborate with Data Scientists and other AI Engineers to transform prototypes into production ready, scalable solutionsa €¢ Build, deploy, and operate enterprise scale machine learning pipelines, emphasizing reliability, performance, and securitya €¢ Orchestrate and configure infrastructure that enables low latency, resilient AI workloads, leveraging infrastructure as code and automationa €¢ Contribute to reusable accelerators, templates, and patterns that improve delivery speed and consistency across teamsa €¢ Support CI/CD, monitoring, and operational practices for AI and ML systems in production environments
Required Technical Skillsa €¢ Strong experience with Microsoft Azure, including AI/ML services and cloud native architecturesa €¢ Hands on experience deploying and operating ML pipelines using Azure Machine Learninga €¢ Proficiency in Python and modern software engineering practicesa €¢ Experience with automation and configuration management, including Ansiblea €¢ Solid understanding of MLOps, model lifecycle management, and CI/CD for AI systemsa €¢ Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes)a €¢ Working knowledge of security, identity, and access control in enterprise cloud environmentsPreferred Skillsa €¢ Experience with Microsoft Foundrya €¢ Experience implementing or operating agentic AI systemsa €¢ Familiarity with data engineering tools such as Databricks, Spark, Azure Data Factorya €¢ Experience integrating AI services (e.g., cognitive services, computer vision, unstructured data processing)
Experience Requirementsa €¢ 5+ years of experience in software engineering, AI engineering, or machine learning engineering rolesa €¢ Proven experience delivering production AI or ML solutions in a cloud environmenta €¢ Experience collaborating with cross functional teams across data science, engineering, and architecture
Ways of Workinga €¢ Ability to work independently as a contractor while integrating effectively with existing teamsa €¢ Strong communication skills, with the ability to explain complex technical concepts clearlya €¢ Results oriented mindset with a focus on delivering business value quickly and reliably
Automate your job search with Sonara.
Submit 10x as many applications with less effort than one manual application.
