Senior AI Analytics Engineer

This role is a hybrid position with the expectation to work onsite three days a week in the Ericsson office located in either Plano, Texas or Boise, Idaho. Relocation is not offered for this position. Ericsson does not sponsor U.S. work authorizations for this job position, including H-1’s, H-1B1’s, E-3’s, O-1’s, TN’s, or F-1’s working on CPT or EAD.

About The Team

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.

About the Role

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.

Responsibilities

• 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.

Requirements

• 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.

Nice to Have

• dbt experience — modeling, testing, and documentation.
• 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.

Show Us What You’ve Built

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 shipped and what it does for its users than how pretty the code is.

Why This Role Matters

Finance runs on thousands of hours of manual work that no longer needs to be manual. Every agent, application, and automation this team ships gives that time back and changes how decisions are made at the top of the company. This role is where that change gets built.

Benefits

• Subsidized, nationwide PPO medical benefit options including a low-deductible Point of Service Plan and a qualifying High Deductible Health Plan (HDHP), with a generous company-provided HSA contribution.
• 401(k) plan with a 4% company match and immediate vesting.
• Company-paid employee basic life and AD&D insurance.
• Company-paid disability benefits.
• Minimum of 15 days of accrued vacation, up to 3 personal days per year, 11 annual holidays, 8 hours of volunteer time, and 80 hours of sick time annually (pro-rated based on start date).
• Up to 16 weeks of paid maternity leave and 6 weeks of parental or adoption leave at 100% of pay.
• Comprehensive Employee Assistance Program, mobile therapy, and volunteer paid time off.

Pay

The salary range for this position is dependent on various factors including, but not limited to, location, and the candidate’s combination of job-related knowledge, qualifications, skills, education, training, and experience. Your pay also includes the opportunity for an annual bonus. Actual bonus payouts are based on performance of the business against the unit’s objectives, individual performance, and the individual bonus target. Certain eligibility and pro-ration rules apply.