Embedded AI Engineer - IT

Gigapower • Dallas, TX

1d • Remote

About The Position

Gigapower is building next-generation fiber broadband infrastructure that expands high-speed connectivity to communities across the United States. We are committed to innovation, operational excellence, and leveraging technology to deliver smarter, faster, and more scalable solutions. As an AI-forward organization, we encourage employees at every level to embrace emerging technologies, continuously expand their AI capabilities, and actively incorporate AI tools into their daily work to improve productivity, decision-making, collaboration, and business outcomes. The Embedded AI Engineer serves as the dedicated AI partner for Gigapower's IT organization. This role is responsible for identifying, developing, and deploying AI-powered solutions that improve network monitoring, network operations, maintenance, performance optimization, capacity management, and operational efficiency across Gigapower's fiber network environment. Working directly with IT, Network Operations, and technology stakeholders, the Embedded AI Engineer will identify high-value opportunities for automation, operational intelligence, and workflow optimization while accelerating AI adoption throughout the organization.

Requirements

• Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related discipline, or equivalent practical experience.
• 1 to 3 years of experience developing software, analytics, automation, data, or AI-based solutions.
• Hands-on experience with LLMs, prompt engineering, RAG, AI agents, or automation workflows.
• Strong proficiency in Python.
• Working knowledge of SQL and experience working with structured datasets.
• Ability to take solutions from concept through deployment and user adoption.
• Strong communication skills and the ability to build relationships with technical and non-technical stakeholders.
• Self-starter mindset with comfort operating in fast-paced and ambiguous environments.
• Strong analytical, problem-solving, and critical-thinking skills.
• Enthusiasm for learning technology operations, network infrastructure, and business processes.

Nice To Haves

• Experience in network operations, network monitoring, IT operations, telecommunications, or NOC environments.
• Experience supporting broadband, fiber, telecommunications, infrastructure, or large-scale technology environments.
• Experience with Azure, Snowflake, cloud platforms, monitoring tools, or operational analytics environments.
• Experience with change management, training, enablement, or technology adoption initiatives.

Responsibilities

• Partner with IT and Network Operations teams to understand monitoring, maintenance, incident management, and operational workflows.
• Identify and prioritize opportunities where AI can improve network visibility, operational efficiency, performance, and reliability.
• Build and deploy AI-powered automations, RAG applications, agents, copilots, and internal productivity tools.
• Develop solutions that support network monitoring, alert management, root-cause analysis, capacity planning, and load balancing activities.
• Create intelligent tools that help teams identify trends, predict issues, and accelerate issue resolution.
• Collaborate with Data Engineering and AI teams on enterprise-scale platforms and shared data initiatives.
• Coach stakeholders on effective use of Microsoft Copilot, Claude, ChatGPT, and emerging AI technologies.
• Measure adoption, quality, and business outcomes and continuously improve delivered solutions.
• Reduce manual effort through workflow automation, reporting enhancements, and operational intelligence capabilities.
• Identify scalable AI use cases that can be leveraged across additional technology and operational functions.

Benefits

• Gigapower is committed to creating a diverse and inclusive workplace.
• Gigapower is committed to providing reasonable accommodation to qualified individuals with disabilities and to applicants throughout the recruitment process.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level