AI Data Engineer

Ericsson • Boise, ID

5d • Hybrid

About The 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.

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 Haves

• 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

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

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 has 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
• 80 hours of sick time annually
• up to 16 weeks of paid maternity leave
• 6 weeks of parental or adoption leave at 100% of pay
• comprehensive Employee Assistance Program
• mobile therapy
• volunteer paid time off

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed