Senior AI/ML Engineer

Job not on LinkedIn

🕒 January 7

🏈 Alabama, Arizona, +22 more states – Remote

🏈 Alabama – Remote 🌵 Arizona – Remote 🐊 Florida – Remote 🥔 Idaho – Remote 🌽 Illinois – Remote 🌾 Iowa – Remote 🌪️ Kansas – Remote ⚜️ Louisiana – Remote 🌾 Nebraska – Remote 🎰 Nevada – Remote 🌶️ New Mexico – Remote 🌲 North Carolina – Remote 🌾 North Dakota – Remote 🌪️ Oklahoma – Remote 🌲 Oregon – Remote 🦀 Maryland – Remote 🎸 Mississippi – Remote 🏰 Missouri – Remote 🔔 Pennsylvania – Remote 🌴 South Carolina – Remote 🗿 South Dakota – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⛷️ Utah – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 69%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Cable ONE

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1986

📡 Telecommunications

💰 Post-IPO Debt on 2020-05

Telecommunications

Cable ONE is an internet service provider (ISP) that delivers fast and reliable broadband services under the brand name Sparklight. Offering whole-home Wifi and fiber-powered internet with speeds up to 1 Gbps, they serve residential and business customers throughout the United States. Their investments in infrastructure aim to reduce the digital divide by deploying advanced technologies such as modems capable of 10 Gbps speeds. Cable ONE emphasizes customer satisfaction by providing dependable service and support, making their service ideal for work, gaming, and streaming needs.

📋 Description

• Serve as the technical authority for AI/ML platforms, agent architecture, Model Context Protocol (MCP) strategy, context engineering, orchestration, governance, and AI-assisted experiences within Network Intelligence • Define how agentic systems safely consume network data, engineering knowledge, automation capabilities, and operational intelligence • Establish reusable architectural patterns, development standards, evaluation practices, human approval controls, and governance requirements • Provide technical mentorship to AI Engineers assigned to technology-domain delivery teams • Maintain a clear boundary between deterministic network capability development and intelligent consumption of those capabilities with the Senior Network Automation Engineer • Define and own architecture and technical standards for AI/ML platforms, agent frameworks, agent harnesses, and agentic workflows • Define MCP strategy, server integration patterns, tool contracts, access controls, and lifecycle standards • Design reusable patterns for agent orchestration, multi-agent coordination, long-running workflows, and escalation paths • Establish standards for context engineering, memory systems, retrieval, grounding, source attribution, and knowledge packaging • Define human-in-the-loop approval requirements, reasoning boundaries, tool execution safeguards, auditability, and governance controls • Create evaluation frameworks and acceptance criteria for correctness, safety, reliability, hallucination reduction, and tool execution • Define how agents consume network APIs, automation services, data products, procedures, and engineering knowledge • Review complex, high-risk, or net-new AI and agentic solution designs • Guide AI Engineers and provide design guidance, code review, and architectural support • Partner with Platform Engineering on AI service hosting, deployment, monitoring, alerting, scalability, and production readiness • Partner with Data Engineering, NMS Engineering, Reporting Engineering, and Capacity Engineering to ensure agents use trusted and appropriately structured data • Coordinate conversational and AI-assisted user experience requirements with UI/UX and front-end contributors • Produce High Level Designs (HLDs), architecture decision records, technical standards, and implementation guidance • Apply secure software development, CI/CD, source control, testing, and operational support practices to AI solutions • Evaluate emerging AI/ML, agentic, orchestration, and MCP technologies for practical enterprise adoption • Communicate architectural decisions, technical risks, dependencies, and recommendations to engineering and leadership stakeholders

🎯 Requirements

• Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Machine Learning, Data Science, Information Technology, or a related technical field is preferred • Alternatively, 8 or more years of progressive experience in software engineering, platform engineering, data engineering, AI/ML engineering, or related technical disciplines will be considered • Five or more years of experience designing or delivering AI/ML, large language model, or agentic systems is preferred • Demonstrated experience leading technical architecture, establishing engineering standards, and guiding complex or net-new solution delivery • Strong Python development skills and experience building production-grade services and integrations • Experience with large language models, agent frameworks, tool calling, retrieval-augmented generation, context engineering, and model evaluation • Experience designing MCP servers, MCP clients, or comparable tool-integration architectures is strongly preferred • Experience with REST APIs, event-driven integrations, structured data, and enterprise system integration • Experience with vector databases, graph databases, knowledge graphs, semantic retrieval, or metadata-driven knowledge systems • Experience with cloud-based AI services, containerized deployment, Git, CI/CD, testing, monitoring, and production support • Experience applying security, governance, human approval, auditability, and responsible AI practices to production systems • Experience in telecommunications, ISP, network engineering, infrastructure, or operational technology environments is preferred • Specific certifications are not required; listed certifications may demonstrate significant understanding of key concepts • Demonstrated ability to distinguish deterministic automation responsibilities from agentic orchestration and AI-consumption responsibilities • Experience establishing reusable agent architectures, development standards, governance patterns, and evaluation methods • Experience with MCP, Semantic Kernel, LangGraph, LangChain, Azure AI services, Azure OpenAI, or comparable agent and orchestration frameworks • Experience with retrieval-augmented generation, embeddings, vector search, graph-based retrieval, and knowledge packaging • Understanding of AI safety, hallucination reduction, prompt injection risks, tool-use controls, auditability, and human approval patterns • Ability to evaluate AI-generated outputs and agent actions for correctness, safety, reliability, and operational impact • Ability to translate engineering procedures, operational knowledge, and business processes into governed agentic workflows • Ability to communicate complex architecture, risks, tradeoffs, and technical recommendations to technical and non-technical stakeholders • Strong technical leadership, mentoring, problem-solving, and cross-functional collaboration skills • Ability to work effectively with Network Automation Engineers, Platform Engineers, Data Engineers, NMS Engineers, Reporting Engineers, Capacity Engineers, Network Security, and Infrastructure Engineering • Adaptability and willingness to evaluate emerging AI technologies while maintaining disciplined production standards • Ownership mindset and accountability for architecture quality, production readiness, governance, and delivery outcomes • Position may require occasional on-call availability • Position may require up to 10% travel • Job offers are contingent upon background, drug screening, and reference check results

🏖️ Benefits

• Medical, dental, and vision plans – start when you start • Life insurance (self, spouse, children) • Paid time off (vacation, holiday, and personal/sick days) • 401(k) with 100% company match from day 1 of employment, up to 5% of eligible compensation • Group Legal plan with Identity Theft Protection • Tuition reimbursement up to $5,250 in the first year • Annual community support to various organizations across the U.S. • Associate recognition & awards programs • Advancement opportunities • Collaborative work environment • FREE Cable One services for associates who live in a serviceable area • Up to $75/mo. stipend • Remote access to select premium channels (Cable One, Sparklight, Cable America and ValueNet Fiber Only) • Vehicle provided for daily work purposes if residing within reasonable radius from office location