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NICE

Team Lead, AI Engineering

NICE · USA - Atlanta, GA; USA - Hoboken, NJ; USA - Sandy, UT

Posted about 2 months ago

or apply directly on NICE's site. We never take the application ourselves.

Is this posting real?

This role has been open
71 days
NICE's roles stay open a median of 87 days
Reposted
No
Salary listed
No
1% of NICE's roles list one
Ghost-job risk at NICE
high
188 stale, 15 reposted of 188 open
Hiring momentum
407 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-29

Measured from postings appearing on and disappearing from NICE's own greenhouse board since 2026-08-03. Full hiring picture for NICE.

About this role

As the Team Lead for AI Engineering at NiCE, you will oversee a hands-on engineering team focused on building and scaling the internal AI platform that supports intelligent automation across the enterprise. Your responsibilities include guiding the design and delivery of AI architecture, mentoring engineers, and collaborating with various stakeholders to ensure the platform meets business needs and maintains high standards of quality and performance.

Our read on this posting3.0out of 5
benefits
2/5
freshness
4/5
career value
4/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of NICE as an employer.

What you need

  • 7+ years of professional software engineering experience
  • 2+ years of technical leadership or engineering management experience
  • Hands-on experience building and deploying LLM-powered applications
  • Strong understanding of REST API design and production engineering practices
  • Experience with at least one agent or orchestration framework
  • Practical knowledge of Azure services

Nice to have

  • Experience implementing MCP servers or similar tool-integration protocols
  • Familiarity with Anthropic Claude API and Azure AI Foundry
  • Experience with vector databases
  • Knowledge of LLM evaluation frameworks
  • Experience leading developer platform or infrastructure engineering teams

What you get

  • Hybrid work model with 2 days in the office and 3 days remote
  • Opportunities for internal career growth
  • Collaborative and creative work environment

Worth weighing

  • No salary listed
  • Focus on building foundational AI platform capabilities may involve legacy systems
  • Fast-paced environment may require adaptability to evolving requirements

Summarised from NICE's posting. Read the full original.

Listed by NICE on their greenhouse job board, last confirmed open on 2026-10-29. PitchMeAI is not the employer.

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