AI and Automation Engineer
Ericsson•Plano, TX
•Onsite
About The Position
Early career professionals, 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.
Requirements
- 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.
Nice To Haves
- 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
Responsibilities
- 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.
Benefits
- Choice of three medical plan options
- Dental plan option
- Annual bonus
- 401(k) Plan with automatic 3% company contribution
- 401(k) matching $1 for $1 on the first 3% of eligible pay, plus 50 cents on every $1 on the next 2% of eligible pay
- Company-paid basic life insurance
- Company-paid basic accidental death and dismemberment coverage
- Company-paid short-term disability coverage
- Company-paid long-term disability coverage
- Stock Purchase Plan
- 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
- Financial wellness programs
- Educational assistance
- Matching gifts
- Recognition programs
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
