Team Lead, AI Engineering @NICE

Overview

NICE is assembling a core engineering team to build the internal AI platform that powers intelligent automation across the enterprise. As Team Lead, AI Engineering in the Orchestration AI Development team, you will lead a hands-on engineering team responsible for building foundational AI platform capabilities to enable automation and deliver measurable business impact.

Key Responsibilities

• Lead the engineering roadmap and delivery execution for core AI platform capabilities, ensuring priorities are clear, sequenced, and aligned to business outcomes.
• Partner with architecture, DevOps, Security, Product, and business stakeholders to translate complex requirements into scalable technical plans.
• Own delivery quality across releases, including code review standards, test coverage, production readiness, operational runbooks, and rollback plans.
• Lead, mentor, and grow engineers working across AI platform, full-stack development, integration, and production operations.
• Guide implementation of MCP server and client libraries that connect enterprise systems to AI agents.
• Oversee the development of the Models Gateway and RAG pipeline design.
• Define governance practices that support responsible AI development and comply with internal data use.
• Measure platform adoption, reliability, developer productivity, operational efficiency, and business impact through clear dashboards and success metrics.

Requirements

• 7+ years of professional software engineering experience, including hands-on experience with Python or TypeScript.
• 2+ years of technical leadership or engineering management experience.
• Hands-on experience building and deploying LLM-powered applications.
• Strong understanding of REST API design, distributed systems, and production engineering practices.
• Practical knowledge of Azure services.
• Demonstrated ability to set engineering standards for code quality and testing.
• Strong communication and stakeholder management skills.

Benefits

NICE offers a flexible work model with 2 days working from the office and 3 days of remote work each week, fostering teamwork and innovation.

Location

Remote (USA)

How to Apply

Interested applicants should submit their applications through the company's career page.

Deadline

Not specified.