Experience: 10+ Years
Job description:
We are seeking an ML Architect/Principal AI Engineer with over 7+ years of professional experience in software design and data science background.
The ideal candidate has a strong foundation in software engineering principles, software architecture design, and best practices, with proven experience in Cloud Systems in the ML context. As an ML Architect you will play a key role in our innovation organization producing high level designs for our AI/ML systems, aligning with other peers, Tech Leads and Data Scientists on the best practices for this domain.
This position is to work on AI/ML related projects. We are looking for someone with experience in Azure, and with proven experience delivering Production Ready solutions since the ideation phase.
Responsibilities:
● Produce and maintain high-quality documentation for agent-based AI systems, contributing to the development of a standardized Agentic Reference Architecture.
● Capture and document reusable GenAI design patterns, enabling accelerated solution development and consistent implementation across teams.
● Draft and maintain technical guardrails and playbooks that establish governance, safety, and operational guidelines for responsible AI and engineering practices.
● Create and maintain documentation with high quality for the different initiatives the team is participating in, including reference architectures
● Participate or lead in design conversations among systems and other
● Architects/Principal Engineers for critical systems that can be on premise or Cloud.
● Work with other architects on documenting our current AI landscape and apply governance on our tech stack.
Requirements:
● 5+ years of professional experience in software development.
● 3+ years of experience leading teams and/or systems designs.
● Strong foundation in software engineering principles and architecture.
● Proficiency in design software architecture and pipelines in the AI/ML space.
● Experience on the delivery of cloud architectures (e.g., *Azure, AWS, GCP).
● Experience working in Agile/Scrum environments. (SAFE is a plus)
● Excellent communication skills in English, both written and verbal.
Good to Have Skills:
● Experience with Python and/or Machine Learning / Data Engineering projects.
● Experience working with Azure AI Foundry and/or LLMs.
● ADOIT or other Architecture documentation tool experience.
● Product Oriented mindset.