AI Data Engineer

Grow with us!

• This role is a hybrid position with the expectation to work onsite (3) three days a week in the Ericsson office located in either Plano, Texas or Boise, Idaho and relocation is not offered for this position.
• Ericsson Enterprise Wireless Solutions Inc. does not sponsor U.S work authorizations for this job position including U.S. immigration filings for initial and/or change of employer paperwork for H-1’s, H-1B1’s, E-3’s, O-1’s, and TN’s. Ericsson also does not hire F-1’s working on CPT or EAD for this position.

The Finance AI & Analytics team is transforming finance into a strategic function through AI. We build the AI agents, applications, and automations that Ericsson’s executive leadership — including the CFO and CEO — use to steer the business. Our work doesn’t sit on a shelf: it is queried, questioned, and relied on daily at the highest levels of the company.

This is a builder’s role. As Senior AI Analytics Engineer, you will design and ship the AI agents, applications, and automations that change how our organization works — agents that answer executive questions in seconds, applications that replace weeks of manual reporting, and automations that quietly eliminate entire categories of busywork.

You’ll sit closer to the business than a traditional data engineer. The job starts with a business problem, not a pipeline: understand the question, find the signal in the data, and turn it into something people use every day. AI coding tools like Claude Code and Codex are how we work — you’ll prototype in hours, iterate with stakeholders in days, and ship in weeks.

You do not need a finance background. You’ll partner with a technically strong finance team who bring the domain depth and validate the business logic with you — you bring the analytical thinking and the ability to build. As a senior member of the team, you’ll have the authority to design and deliver solutions as you see fit, in alignment with our IT Center of Excellence.

• Build AI agents — Design, build, and continuously improve the AI agents our executives and finance teams rely on for answers
• Ship applications & automations — Turn manual, repetitive workflows into applications and automations that run without you
• Deliver insight — Take ambiguous business questions and drive them to clear, decision-ready answers backed by sound analysis
• Business partnership — Embed with stakeholders to find the highest-value problems, then own the solution end to end
• Analytics engineering — Shape the data models and semantic views that ground our agents’ answers — we use dbt on Snowflake, and we’ll teach you the stack if it’s new to you
• Raise the bar — Set the standard for how the team uses AI tooling to build faster and better, in alignment with the IT Center of Excellence

• Hands‑on experience with AI coding tools such as Claude Code, Codex, or similar — these are core to how we build, not a nice‑to‑have
• Automation or agentic projects you can show us — personal or professional (see “Show Us What You’ve Built” below)
• Expert SQL and strong Python, with a solid analytics foundation — you know how to interrogate data and how to tell when an answer is wrong
• Experience building applications, automations, or agentic workflows that real users depend on
• A track record of partnering directly with business stakeholders to turn ambiguous needs into working solutions The judgment and autonomy expected of a senior engineer — you decide how to solve the problem and you own the outcome

• dbt experience — modeling, testing, and documentation. We’d love it, but we don’t require it
• Experience with Snowflake or a comparable cloud data warehouse
• Experience with semantic layers or semantic views that serve AI systems (retrieval, tool use)
• Streamlit, workflow automation platforms, or agent frameworks
• Finance domain exposure — helpful, but explicitly not required

The strongest applications include the things you’ve built. When you apply, share your automation or agentic projects — personal or professional, polished or vibe-coded. A link, a repo, a demo video, or a short write-up all…