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hirly last saw it live on 1 September 2026. Similar roles are on the live board.

Nice

AI Lead Software Engineer

Seattle, Washington, United States; USA - Atlanta, GA; USA - San Francisco, CA; USA - Sandy, UT

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Role family
Engineering
Seniority
Lead / management
Country
US
Work mode
Remote-friendly
First seen by hirly
1 Sept 2026

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the posting

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.

Job Description: Lead Software Engineer (Data technologies)

Location: Sandy, UT or Atlanta Georgia or Bay Area , CA

Overview

We are seeking a highly skilled Builder to design and implement AI-driven solutions that scale across cloud data lakes. This role will collaborate closely with engineering and data teams to prototype and productionize data solutions at scale that include document and vector search, and semantic retrieval. This role will advise engineering leadership on technology selection and direction, while ensuring robust, scalable, and well-governed production deployments. This is a hands on role with significant architecture, code contribution and mentoring other builders

Key Responsibilities

Design and implement AI-driven data solutions that scale across cloud data platforms such as Snowflake or Databricks or BigQuery (anyone one of these)

Prototype and productionize LLM-based systems for dynamic SQL generation, document search, and semantic retrieval

Build and maintain vector search capabilities using OpenSearch or similar technologies

Develop metadata and data catalog layers to enable LLM reasoning and discoverability

Build reliable, performant, and well-governed data pipelines for AI workloads

Advise engineering leadership on technology selection and strategic direction aligned with company needs

Partner with global engineering teams to deliver high-quality AI data solutions in production

Experience in making Data ready for AI with Semantic layer (Nice to have)

Required Technical Background

Expertise in large-scale cloud data platforms (Snowflake or Databricks or BigQuery, or equivalent)

Hands-on experience building LLM-driven workflows for dynamic SQL generation or intelligent data access

Proficiency in Python and/or Java for AI pipeline development

Experience with vector search and OpenSearch (or similar) for document and semantic retrieval

Familiarity with data cataloging or metadata systems such as custom YAML schemas, Atlan, or DataHub

Strong troubleshooting and debugging skills in production environments.

High ownership, critical thinking, curiosity, and execution skills with a collaborative mindset for working across global teams

Preferred Qualifications

Prior experience advising engineering leadership on well-rounded technology selection and direction along with tradeoffs

Demonstrated ability to design and implement enterprise-grade AI and data solutions.

Strong learning orientation and enthusiasm for emerging AI and data engineering technologies.

Ability to work independently and drive execution across distributed teams.

Experience

8 to 12 years in software or Software Engineering, Data Engineering including recent hands-on work with AI systems

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.

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