AI Product Engineer

Ericsson; Stockholms kommun; Hybrid; SEK 900,000 - 1,100,000; Full time

Job summary

Ericsson AB in Stockholm is seeking an AI Product Engineer to own how the Workforce Analyst presents trusted answers to leaders. You will integrate Snowflake data, the AI layer, and the user interface, delivering fast, reliable improvements and safeguards.

Collaborate with product management, UX, design and data teams to ship across data, back end, AI and front end, using AI coding tools and evaluating outputs. Strong judgement and ownership are essential.

Qualifications

• Proven ability shipping software used by real users.
• Strong Python and SQL proficiency with clean, tested code.
• Experience evaluating AI outputs and identifying incorrect results.

Responsibilities

• Own leader experience and answer quality in Workforce Analyst.
• Build, operate and improve data, back-end, AI and front-end layers.
• Implement AI-native development, testing, and rapid releases.
• Create safeguards to catch inaccurate AI-generated answers and report results.
• Collaborate with product, UX, design and data teams to deliver value.

Skills

Python

SQL

Snowflake

AI tooling

Tools

Snowflake

FastAPI

Next.js

Snowpark Python

Job description

Join our TeamAbout this opportunityWorkforce Analyst is the AI application that gives Ericsson's 7,000 leaders answers about their organisations and workforce. It is now rolling out to all leaders, and it is the first step in our quest to build a trusted AI coworker for every leader. As AI Product Engineer, you will own how it works for them: from data in Snowflake, through the AI layer, to the experience on screen.We work AI-native: AI tools are part of how we build, and your judgement decides what is worth building and whether the answers can be trusted. You will join a small team that works like a startup inside Ericsson: we build and ship within weeks, put releases in front of real leaders, and own our product end to end. You will work directly with leaders and with colleagues in product management, UX research, design and data. You will use existing AI models rather than train them.What you will do• Own the leader experience and the quality of answers: how Workforce Analyst reasons and what leaders see. The technical lead owns platform architecture, and you work closely together.• Build, operate and improve the application across the data, back-end, AI and front-end layers.• Work AI-native: use AI coding agents to build, test and refactor, and spend your own time on design, review and judgement.• Get useful things into leaders' hands soon, then improve them in small, frequent releases.• Build checks and safeguards that catch inaccurate or unsuitable AI-generated answers, and report honestly on what works and what doesn't.• Make it fast, reliable and easy enough that leaders never need to work around it. They are our test.• Talk directly with leaders, learn what they ask and need, and turn that into improvements.• Join forces with other People product teams to build AI solutions beyond Workforce Analyst, and reuse what works across them.• Challenge what we build and drop what doesn't create value.Our main measure of success is how much leaders use and rely on Workforce Analyst.You will bring• A track record of shipping and running software that real users rely on, with examples.• A habit of shipping: you get a first useful version out early rather than polishing in private.• Deep expertise in at least one part of the stack, and comfort working across data, back end, AI and front end.• Solid Python and SQL, with clean, tested code.• Experience building with AI coding tools and evaluating AI output, including recognising when an answer is wrong.• Judgement and agency: you take initiative, solve problems without waiting to be asked, and care whether what you build is used and creates value.• Sound judgement with sensitive people data, and the ability to explain technical choices simply.• Familiarity with Snowflake, Snowpark Python, FastAPI, Next.js, large language models or embeddings is an advantage.ApplicationWe look forward to your application with CV in English. We target 60% work-from-the office.Last day to apply is 18th of November 2026. Please note that we do not accept, proceed, or respond for applications sent via e-mail.If you have specific questions, you are welcome to contact hiring manager Marcus Persson, Head of People Analytics & AI at [e-mail] or Raheleh Rouhani, Sr. Talent Acquisition Partner at [e-mail]: Stockholm, SwedenWhy join Ericsson?At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.What happens once you apply?Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.Primary country and city: Sweden (SE) || StockholmReq ID: 792791