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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.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.