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AI and Automation Engineer
Job in
Boise, Ada County, Idaho, 83708, USA
Listed on 2026-06-07
Listing for:
Ericsson GmbH
Full Time
position Listed on 2026-06-07
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Data Engineer
Job Description & How to Apply Below
This role is a hybrid position with the expectation to work onsite (3) three days a week in the Ericsson office located in either Boise, Idaho or Plano, Texas 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.
About the Team Ericsson Business Enterprise Wireless Solutions (BEWS) is the division behind Cradlepoint, the global leader in cloud-delivered LTE and 5G wireless network edge solutions for enterprises. BEWS serves customers across industries including retail, transportation, government, and healthcare, delivering the connectivity infrastructure that keeps businesses running.
Within BEWS, the Finance AI & Analytics team is a newly formed, high-impact group driving AI transformation across the finance organization. We build the data infrastructure, AI agents, and analytics capabilities that power financial decision-making are looking for an AI and Automation Engineer to join our Finance AI & Analytics team. You will own the automation layer that eliminates manual work across finance, from recurring report distribution to multi-system process workflows.
You will build traditional RPA bots today and increasingly incorporate AI-powered automation as the technology matures. This is a high-ownership role with direct visibility to the CFO and senior finance stakeholders.
You will work closely with data engineers, an analytics engineer, and a data analyst, reporting to the Head of Finance AI & Analytics.
What you will do:
Design, build, and maintain RPA bots and automation workflows that eliminate manual finance work Automate recurring report generation and distribution across the finance organization
Build automations that support core finance processes including AP/AR, reconciliations, and the monthly close
Integrate automations across enterprise systems including SAP, Salesforce, Snowflake, and Microsoft 365
Develop and orchestrate AI-powered automation workflows that combine RPA with finance AI agents
Maintain a backlog of automation opportunities and prioritize them based on time saved and risk reduced
Establish monitoring, error handling, and governance for production bots Partner with finance business partners to identify and document automation candidates
Identify automation gaps and proactively resolve them without being directed to Contribute to the team's automation and AI roadmap and technical decision-making
The skills you bring:
Required skills
Hands-on experience building and owning production RPA bots end-to-end Proficiency in at least one major RPA platform such as UiPath, Power Automate, Automation Anywhere, Blue Prism, or equivalent
SQL proficiency for working with source data and building queries
Python or VBA scripting for automation logic and integrations
Experience integrating with enterprise systems via APIs, file transfers, or screen automation
Strong understanding of automation governance including version control, exception handling, and credential management
Proven ability to work autonomously with minimal technical oversight
Self-starter mentality, you identify problems and solve them without waiting to be asked
Preferred skills
Experience building AI-powered automations using LLMs, Claude, or agentic AI frameworks
Familiarity with AI coding tools such as Claude Code, Cursor, or equivalent
Experience supporting AI agents or building tool integrations for them Finance domain knowledge including FP&A, billing, revenue, or OPEX processes
Experience with Snowflake or other cloud data warehouses
Familiarity with Salesforce, SAP, or Microsoft 365 data structures and data quality challenges
Background on a small team where you wore multiple hats
What we offer
Ground floor of a high-visibility AI and finance transformation initiative
Direct exposure to the CFO and senior finance leadership
Small team with outsized ownership, your work is seen and felt immediately
Modern automation and AI…
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