Job description

We are seeking an ML Architect/Principal AI Engineer with over +5 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

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.

Role: NLP / DL Engineering / Architect

Industry Type: IT Services & Consulting

Department: Data Science & Analytics

Employment Type: Full Time, Permanent

Role Category: Data Science & Machine Learning