Senior AI Analytics Engineer

Location
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Hybrid – Plano, Texas or Boise, Idaho (on site 3 days per week; relocation not offered)

Work Authorization
:
Ericsson does not sponsor U.S. work authorizations for this position, including H-1, H-1B1, E-3, O-1, or TN visas. Ericsson also does not hire F-1 students on CPT or EAD.

The Finance AI & Analytics team is transforming finance into a strategic function through AI. We build AI agents, applications, and automations that Ericsson’s executive leadership uses to steer the business. Our work 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 AI agents, applications, and automations that change how our organization works – agents that answer executive questions in seconds and applications that replace weeks of manual reporting.

• 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 transform them into 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 using dbt on Snowflake; we’ll teach 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 – core to our workflow.
• Automation or agentic projects you can demonstrate – personal or professional.
• Expert SQL and strong Python with a solid analytics foundation.
• Experience building applications, automations, or agentic workflows that real users depend on.
• Track record of partnering directly with business stakeholders to turn ambiguous needs into working solutions; judgment and autonomy expected of a senior engineer.

• dbt experience – modeling, testing, and documentation.
• Experience with Snowflake or a comparable cloud data warehouse.
• Experience with semantic layers or views that serve AI systems.
• Streamlit, workflow automation platforms, or agent frameworks.
• Finance domain exposure – helpful, but not required.

Include links, repositories, demo videos, or short write‑ups of your automation or agentic projects. We value impact over polish.

Finance runs on thousands of hours of manual work that no longer needs to be manual. Every agent, application, and automation this team ships frees up that time and changes decision‑making at the highest levels of the company.

Ericsson offers a chance to use your skills and imagination to solve complex problems. You’ll be part of a diverse, innovative team driven to go beyond the status quo.

Competitive salary and bonus potential. The range depends on location, experience, and qualifications. We provide a comprehensive benefits package, including medical, dental, vision, high‑deductible health plans with HSA, 401(k) with 4% match, life, AD&D, disability, paid time off (vacation, personal days, holidays, sick leave, volunteer time), maternity and parental leave, and additional company‑paid benefits.

Ericsson is proud to be an Equal Opportunity Employer. We encourage people from all backgrounds to apply. If you need assistance or an accommodation due to a disability, please contact Ericsson at hr

The above statements describe the general nature and level of work performed by employees in this position. They are not an exhaustive list of responsibilities, duties, or skills required. Additional tasks may be assigned.