Senior AI Analytics 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
• 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 work. We care far more about what you’ve…