ML/AI Solution Architect

Posted 2 Days Ago
Be an Early Applicant
Stockholm
In-Office
Mid level
Design
The Role
The ML/AI Solution Architect will bridge technical and business needs, shape architectural vision, guide product teams, and enhance ML/AI solution scalability and governance.
Summary Generated by Built In
Job Description

WHAT YOU’LL DO 

As a Solution Architect – ML/AI, you will play a central role in bridging business needs with technical implementation. You’ll be responsible for shaping the architectural vision, ensuring alignment with enterprise standards, and guiding teams in building scalable, interoperable ML/AI solutions. Your work will span across multiple product teams and initiatives, where you’ll influence both strategic direction and hands-on delivery. 

→ Define and maintain a shared technical and architectural vision focused on creating alignment across ML/AI solutions. 

→ Translate business and technical requirements into architectural blueprints and ensure alignment with enterprise architecture standards and data governance artifacts. 

→ Collaborate across teams to design scalable, interoperable solutions that meet future customer needs. 

→ Provide leadership and consulting support to product teams, ensuring solutions meet business needs and align with architectural governance. 

→ Develop and maintain architectural documentation, standards, and best practices for ML/AI solutions. 

→ Drive continuous improvements, reduce technical debt, and enhance end-to-end business value. 

WHO YOU’LL WORK WITH 

You’ll be part of the AIAD Solution Architect group within the Data Platform Engineering & Architecture Unit, working cross-functionally with product teams, data scientists, ML engineers, product managers, and other solution architects. You’ll also collaborate closely with the Tech Governance group and the Data and ML Platform to ensure alignment with standards and strategic direction. 

WHO YOU ARE 

We are looking for people with… 

→ Solid experience in solution architecture within AI and Machine Learning. 

→ Hands-on knowledge of cloud platforms like Google Cloud or Azure. 

→ Strong technical background in data warehousing, analytics, and scalable ML/AI solutions. 

→ Familiarity with architectural frameworks and modeling techniques. 

→ Experience building and validating machine learning and mathematical models. 

→ Understanding of enterprise architecture standards and governance. 

And people who are… 

→ Analytical and holistic thinkers who see the bigger picture. 

→ Strong collaborators across tech and business teams. 

→ Clear communicators with excellent English skills. 

→ Proactive problem-solvers who drive continuous improvement. 

WHO WE ARE 

H&M Group is a global company of strong fashion brands and ventures. Our goal is to prove that there is no compromise between exceptional design, affordable prices, and sustainable solutions. We want to liberate fashion for the many, and our customers are at the heart of every decision we make. 

We are made up of thousands of passionate and talented colleagues united by our shared culture and values. Together, we want to use our power, our scale, and our knowledge to push the fashion industry towards a more inclusive and sustainable future. 

WHY YOU’LL LOVE WORKING HERE 

At H&M Group, we are proud to be a vibrant and welcoming company. We offer our employees attractive benefits with extensive development opportunities around the globe. 

→ All our employees are included in our H&M Incentive Program (HIP) 
→ All our employees receive a staff discount card, usable on all our H&M Group brands in stores and online. Brands covered by the discount are H&M (Beauty and Move included), COS, Weekday, Monki, H&M HOME, & Other Stories, ARKET, Afound 

→ 30 days holiday for H&M-based colleagues 

→ Collective agreement including pension and life insurance 

→ Wellness benefit of 3000 SEK/year 

→ Access to Benify Benefits Portal 

→ Community with activities 

→ 2 half days per month dedicated for Growth Hour and your own up-skilling 

JOIN US 

Our uniqueness comes from a combination of many things – our inclusive and collaborative culture, our strong values, and opportunities for growth. But most of all, it’s our people who make us who we are. 

Take the next step in your career together with us. The journey starts here. 

*We are committed to a recruitment process that is fair, equitable, and based on competency. We therefore kindly ask you to not attach a cover letter in your application. 

Top Skills

Analytics
Artificial Intelligence
Azure
Data Warehousing
GCP
Machine Learning
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The Company
HQ: Stockholm
59,418 Employees
Year Founded: 1947

What We Do

Founded in 1947, H&M Group is a global design company with ~4,702 stores in 76 markets and 56 online markets. At H&M Group, we believe in making great design available to everyone. It’s essential in everything we do. Our family of brands and business ventures offer customers around the world a wealth of fashion, beauty, accessories and homeware, as well as modern menus with fresh and local produce at some of the brands’ in-store eateries.

But design is so much more than just products; it’s about clever design processes, efficient product flows, creating experiences that enrich, and smart solutions that benefit all our customers.

Sustainability is always at the core of our business. Not only because we like to do what’s right — but it’s also beneficial for our business. We will continue to push for change and lead the way towards a more inclusive and sustainable fashion future.

Do you want to join us? We will trust you with great responsibility right from the start, reward a passionate mindset and encourage an entrepreneurial spirit. When you start a career with H&M Group, there’s no limit to where it can take you.

H&M Group's Moderation Policy:
Welcome to H&M Group’s official LinkedIn page. Ask questions, exchange ideas and meet members and employees from all over the world.

This page is moderated daily and we always do our best to answer each one of you in a timely manner. Please remember to keep a friendly tone and in line with LinkedIn’s legal terms at https://www.linkedin.com/legal/user-agreement

Comments and posts that contain foul language, are off-topic or unnecessarily rude will be deleted. We also encourage you to report any inappropriate content.

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