AI and Automation Engineer
EricssonAbout the role
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 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 at Ericsson.
We 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 stack with room to help shape it
- Clear growth path into Senior Automation Engineering, AI Analytics Engineering, or Finance Systems leadership
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