Lead, AI Platform & Orchestration Engineering

Nice-0a1ef543; Atlanta (GA); Hybrid; USD 140,000 - 220,000; Full time

Job summary

NiCE is seeking a Team Lead, AI Engineering to guide the development of a scalable internal AI platform. You will lead an engineering team, define architecture, and collaborate with security, DevOps, and product teams to translate enterprise needs into reliable capabilities.

You will mentor engineers, drive delivery, and ensure governance, observability, and production readiness while delivering measurable business impact.

Qualifications

• 7+ years of professional software engineering experience, including hands‑on experience with Python, TypeScript, or similar languages in production environments.
• 2+ years of technical leadership, team leadership, or engineering management experience, with a track record of mentoring engineers and driving delivery outcomes.
• Hands‑on experience building and deploying LLM‑powered applications, including RAG pipelines, agents, tool use, prompt engineering systems, or evaluation frameworks.

Responsibilities

• Lead the engineering roadmap and delivery execution for core AI platform capabilities, ensuring priorities are clear and aligned to business outcomes.
• Partner with architecture, DevOps, Security, Product, and stakeholders to translate requirements into scalable technical plans.
• Own delivery quality across releases, including code review standards, test coverage, production readiness, and runbooks.

Skills

Software engineering leadership

LLM applications

Python

TypeScript

REST API design

Distributed systems

Agent/orchestration frameworks

Tools

Jira

ServiceNow

Salesforce

Workday

Microsoft 365

Snowflake

Job description

NiCE is seeking a Team Lead, AI Engineering to guide the development of a scalable internal AI platform. You will lead an engineering team, define architecture, and collaborate with security, DevOps, and product teams to translate enterprise needs into reliable capabilities.

You will mentor engineers, drive delivery, and ensure governance, observability, and production readiness while delivering measurable business impact.