AI Automation Infrastructure Engineer

NICE • Sandy, UT

1d

About The Position

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. Overview We’re looking for an AI Engineer with strong expertise in Voice, Network, and Compute infrastructure automation. You will design and deploy AI‑driven automation that improves reliability, performance, and operational efficiency across large‑scale systems. This role emphasizes agent‑based automation, MCP‑style service frameworks, and reusable Skills that enable intelligent workflows across infrastructure platforms. Why This Role Matters You will help build the next generation of intelligent, self-driving infrastructure , where AI agents, MCP‑style services, and reusable Skills replace fragile scripts and manual runbooks. Your work will reduce toil, improve system reliability, and enable teams to operate infrastructure at scale with speed, safety, and resilience. About NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.

Requirements

• 5+ years of experience in AI/ML engineering, automation engineering, or infrastructure engineering .
• Strong Python development skills, including API and service development.
• Hands‑on experience with: Voice : SIP, SBCs, call flows Network : routing/switching, F5, Palo Alto, Arista Compute : VMware, Kubernetes, and cloud platforms
• Experience building or operating MCP‑like services, agent backends, or tool‑calling frameworks that allow LLMs to interact with real systems.
• Proven ability to create modular Skills or tools for workflow automation and agent execution.
• Experience with ML frameworks and LLM orchestration tools .
• Solid understanding of CI/CD, GitOps, containers, and orchestration .

Nice To Haves

• Cloud‑native automation experience (AWS Lambda, Azure Functions, GCP Cloud Functions).
• Knowledge of Kafka or other event/streaming frameworks .
• Experience with policy engines, RBAC, and safety controls for AI automation.
• Networking, cloud, or automation certifications.

Responsibilities

• Build AI/ML‑powered automation for Voice, Network, and Compute platforms.
• Design and deploy Model Context Protocol (MCP)–style servers or similar agent service layers that expose infrastructure capabilities as secure, reusable AI‑callable actions.
• Develop Skills and tools for workflow automation , enabling LLM‑driven agents to execute operational tasks, diagnostics, and remediation safely and deterministically.
• Create intelligent systems for anomaly detection, forecasting, root cause analysis, and self‑healing .
• Integrate automation with SBCs, SIP systems, routers/switches, load balancers (F5, Palo Alto, Arista), VMware, Kubernetes, and cloud compute platforms .
• Build APIs, Skills, and agent workflows that connect with observability, CMDB, and ticketing platforms (Grafana, Prometheus, ServiceNow, etc.).
• Implement Infrastructure‑as‑Code using Terraform, Ansible, or similar tools.
• Partner with operations teams to eliminate manual work, improve uptime, and accelerate incident response.
• Define guardrails, permissions, and validation layers to ensure AI‑driven automation operates safely in production environments.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 1,001-5,000 employees