Ericsson

AI and Automation Engineer

Ericsson$80K — $95K *
Plano, TX 75025In-Person
Telecommunications & Hardware
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science or related field.
  • 0 to 2 years of experience with Python, SQL DB, Flask, Pandas, JSON, Angular (preferred) or React.
  • Strong Python development skills with knowledge of libraries like Pandas and JSON handling.
  • Hands-on experience in building REST APIs using Flask or similar frameworks.
  • Familiarity with large language models (LLM) and prompt engineering.
  • Experience with cloud-native architecture and API integrations.
  • Knowledge of containerization technologies (Docker) and orchestration with Kubernetes (AKS preferred).

Responsibilities

  • Design and implement AI-powered automation workflows to reduce manual tasks.
  • Develop and deploy LLM/GenAI solutions with Python REST APIs.
  • Orchestrate agents using LangChain/LangGraph with memory and integration patterns.
  • Create scalable data pipelines utilizing Pandas, SQL, and JSON.
  • Containerize and deploy applications using Docker and Kubernetes (preferably in Azure).
  • Monitor and troubleshoot solutions with observability tools like Azure Application Insights.
  • Collaborate with various teams to identify cost-saving automation opportunities.

Benefits

  • Competitive health benefits including multiple medical and dental plan options.
  • 401(k) plan with automatic contributions and matching up to 4%.
  • Minimum of 15 days of accrued vacation plus extra personal days and annual holidays.
  • Paid parental leave policy including 16 weeks for maternity leave.
  • Access to financial wellness programs and educational assistance.
Full Job Description
If you are an early career professional, join Ericsson's Technology Operations AI (TOAI) team to operationalize AI and automation at scale across North America. You'll build production-grade AI, GenAI, and agentic solutions that streamline telecom operations, cut manual work, and enable faster, data-driven decisions-delivering measurable cost and efficiency gains in how networks are deployed and managed. What you will do: • Design and ship AI-powered automation and agentic workflows that eliminate manual operational tasks. • Build LLM/GenAI solutions (GPT-style interfaces, conversational agents, workflow tools) backed by Python REST APIs. • Orchestrate agents with LangChain/LangGraph, including memory/state, tool integrations, and human-in-the loop patterns. • Develop scalable data pipelines using Pandas/SQL/JSON; integrate with enterprise APIs in secure cloud-native architectures. • Containerize, deploy, and operate solutions with Docker and Kubernetes (AKS), preferably in Azure. • Monitor and troubleshoot with observability (e.g., Azure Application Insights) and document architectures, workflows, and pipelines. • Partner cross-functionally to identify automation opportunities that reduce cost and improve execution efficiency. The Skills You Bring: Essential Skills: • Bachelors in Computer Science or related field of study • 0 to 2 years' experience in Python, SQL DB, Flask, Pandas, JSON, Angular (preferred) or React. • Strong experience with Python development, including libraries such as Pandas and JSON handling. • Hands-on experience building REST APIs using Flask or similar frameworks. • Experience working with LLM-based systems, including prompt engineering and model configuration. • Familiarity with agent frameworks such as LangChain or LangGraph. • Experience with cloud-native architecture and API-based integrations. • Knowledge of containerization technologies (Docker) and orchestration platforms such as Kubernetes (AKS preferred). • Strong experience with SQL and structured data processing. • Experience with API testing tools such as Postman. • Strong collaboration, problem-solving, and communication skills. Preferred Skills: • Experience designing agent-based workflows including memory management, tool orchestration, and human in-the-loop interactions. • Experience deploying AI solutions in Azure cloud environments. • Familiarity with Angular or React for building lightweight user interfaces. • Experience with YAML-based configuration and infrastructure automation. • Exposure to AI observability and application monitoring tools. • Experience with Azure Application Insights, Docker, Kubernetes DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned. Primary country and city: United States (US) || Plano (Country/ City) Job details: Application Dev & 3rd Level Support Compensation and Benefits at Ericsson At Ericsson, we know that our people are the key to our success. We offer a competitive package to help with your individual needs and goals. Your 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. Short-Term Variable Compensation Plan: 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. Your Health Ericsson offers excellent health benefits including the choice of three medical plan options and a dental plan option that allow an employee to select the level of coverage that suits their needs. Employees will receive company credits in an amount equal to the cost that Ericsson pays toward the cost of their medical and dental premiums for themselves and eligible covered dependents. Your Financial Security We invest in both your short and long-term financial wellbeing. The Ericsson US 401(k) Plan offers an automatic 3% company contribution and Ericsson match $1 for every $1 you put into the 401(k) Plan on the first 3% of your eligible pay, plus 50 cents on every $1 on the next 2% of eligible pay. When you contribute at least 5% of eligible pay, you are receiving Ericsson's full matching contributions of 4%. Matching and company automatic contributions stop when your total eligible pay for the year reaches the IRS limits. Employees will also receive company credits in an amount equal to the cost of basic life insurance and basic accidental death and dismemberment coverage, as well as short-term and long-term disability coverage. Employees also have the option to participate in Ericsson's Stock Purchase Plan. Your Time Your work-life balance is important to us. New employees are provided a 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. Please note paid time off is pro-rated based on the employee's start date. Furthermore, Ericsson provides up to 16 weeks of paid maternity leave and 6 weeks of parental or adoption leave at 100% of pay. Additional Benefits Ericsson offers many other company-paid benefits such as financial wellness programs, educational assistance, matching gifts, and recognition programs.

About Ericsson

Ericsson is a multinational telecommunications company headquartered in Stockholm, Sweden. The company was founded in 1876 by Lars Magnus Ericsson and has since grown to become one of the largest telecommunications companies in the world. Ericsson provides a range of products and services including network equipment, software, and services for telecommunications operators. The company operates in over 180 countries and has over 100,000 employees. Ericsson is known for its innovation in the telecommunications industry and has been awarded numerous patents for its inventions. The company is also committed to sustainability and has set ambitious goals to reduce its environmental impact.
Learn more about Ericsson
Size
101,067 employees
Market Cap
$19.6 billion
Industry
Net Income
$17.4 billion
Founded
1876
5 Year Trend
+1.1%
Revenue
$232.3 billion
NASDAQ

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