12 days ago
Remote, United StatesSenior
Responsibilities
- Define 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, escalation paths, context engineering, memory, retrieval, grounding, and source attribution.
- Establish human-in-the-loop approval, reasoning-boundary, tool-execution, auditability, safety, 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, and net-new AI and agentic solution designs.
- Mentor AI Engineers and provide design guidance, code review, and architectural support.
- Partner with Platform Engineering on hosting, deployment, monitoring, alerting, scalability, and production readiness.
- Partner with Data Engineering, NMS Engineering, Reporting Engineering, and Capacity Engineering to ensure trusted data usage.
- Coordinate AI-assisted user experience requirements with UI/UX and front-end contributors.
- Produce high-level designs, architecture decision records, technical standards, and implementation guidance.
- Evaluate emerging AI/ML, agentic, orchestration, and MCP technologies for enterprise adoption.
- Communicate architectural decisions, 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, or 8 or more years of progressive relevant technical experience.
- Five or more years of experience designing or delivering AI/ML, large language model, or agentic systems is preferred.
- 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, testing, monitoring, and production support.
- Experience applying security, governance, human approval, auditability, and responsible AI practices to production systems.
- Preferred experience in telecommunications, ISP, network engineering, infrastructure, or operational technology environments.
- Relevant certifications may include Azure AI Engineer Associate, Azure Solutions Architect Expert, Azure DevOps Engineer Expert, AWS Machine Learning certifications, Google Cloud Professional Machine Learning Engineer, Databricks Machine Learning Professional, Kubernetes certifications, or responsible AI, cloud security, data engineering, and architecture certifications.
- Ability to distinguish deterministic automation responsibilities from agentic orchestration and AI-consumption responsibilities.
- Strong technical leadership, mentoring, problem-solving, communication, and cross-functional collaboration skills.
Benefits
- Medical, dental, and vision plans begin on the start date.
- Life insurance, paid time off, and a 401(k) with a 100% company match up to 5% of eligible compensation.
- Group legal plan with identity theft protection, tuition reimbursement up to $5,250 in the first year, recognition programs, advancement opportunities, and a collaborative work environment.
- Free Cable One services for associates in serviceable areas, an internet stipend of up to $75 per month, and access to select premium channels.
- A vehicle may be provided for daily work purposes when residing within a reasonable radius of an office location.
- Remote work may be available in AL, AR, AZ, FL, GA, IA, ID, IL, IN, KS, LA, MD, MO, MS, NC, ND, NE, NM, NV, OR, OK, PA, SC, SD, TN, TX, or UT.
- The position may require occasional on-call availability and up to 10% travel.
Tech Stack
Categories
About Cable One
Cable One (doing business as Sparklight) provides broadband internet, cable TV, phone, and advanced Wi‑Fi to residential and business customers, plus digital advertising services. It serves more than 800,000 customers across 21 U.S. states via its Sparklight and Sparklight Business brands. Founded in 1986 and headquartered in Phoenix, Arizona, Cable One is a public company listed on the NYSE under CABO.