<div>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.</div>  So, what’s the role all about?   We are seeking an experienced AI Architect who is not only capable of strategic thinking but also enthusiastic about hands-on coding and contributing directly to both proof-of-concept (POC) and production-grade AI projects. The ideal candidate will play a key role in mentoring team members, establishing ethical and responsible AI practices, and making critical decisions around AI deployment strategies. A strong background in deploying AI solutions on cloud platforms such as Azure or AWS is essential, along with deep expertise in building secure, compliant data and machine learning pipelines. This role demands a proactive leader who can bridge the gap between innovation and execution while ensuring scalability, security, and governance in AI systems. How will you make an impact?   <ul> <li>Build scalable AI systems and infrastructure capable of handling large datasets, ensuring performance, reliability, and maintainability.</li> <li>Lead the development of secure, compliant data and machine learning pipelines, ensuring alignment with data governance and regulatory standards such as GDPR.</li> <li>Design, develop, and implement AI models and algorithms to solve real-world business problems, contributing to both proof-of-concept (POC) and production-grade solutions.</li> <li>Mentor and guide team members on AI technologies, best practices, and system architecture, fostering a culture of continuous learning and innovation.</li> <li>Collaborate with cross-functional stakeholders to identify opportunities for AI-driven innovation and translate business requirements into technical solutions.</li> <li>Establish and promote ethical and responsible AI practices across the organization.</li> <li>Take ownership of strategic decisions related to AI deployment, architecture, and lifecycle management.</li> <li>Conduct research and implement appropriate machine learning algorithms, including Retrieval-Augmented Generation (RAG) techniques and integration with Vector Databases.</li> <li>Develop and maintain AI applications using modern frameworks (e.g., TensorFlow, PyTorch, LangChain, Haystack), and run experiments to evaluate and improve model performance.</li> <li>Define and implement AI project Software Development Lifecycle (SDLC) processes, including versioning, testing, validation, and monitoring strategies.</li> <li>Ensure AI systems are secure, scalable, and aligned with the company’s business strategy and compliance requirements.</li> <li>Stay current with advancements in AI, machine learning, and data engineering to continuously enhance system capabilities.</li> </ul>   Have you got what it takes?   <ul> <li>Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.</li> <li>Proven experience as an AI Architect or in a similar senior AI/ML role, with a track record of deploying multiple AI solutions in production.</li> <li>Strong expertise in AI/ML technologies, including experience with RAG architectures and Vector Databases.</li> <li>Proficiency in cloud platforms such as Azure or AWS, with hands-on experience in deploying enterprise-grade AI solutions.</li> <li> Must have hands-on experience in securely integrating AI solutions across cross-functional teams, with strong expertise in Azure cloud security best practices and implementation.</li> <li>Solid understanding of building and managing secure, scalable data and ML pipelines, with knowledge of data security governance and compliance (e.g., GDPR).</li> <li>Proficiency in programming languages such as Python, .NET, or similar, and familiarity with AI/ML frameworks and libraries.</li> <li>Experience with AI project SDLC, including model versioning, CI/CD for ML, and AI testing strategies.</li> <li>Familiarity with DevOps and Data Engineering tools and practices.</li> <li>Strong analytical and problem-solving skills, with the ability to work collaboratively in a fast-paced environment.</li> <li>Excellent communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.</li> <li>Demonstrated commitment to continuous learning and staying up to date with the latest AI trends and technologies.</li> </ul>    What’s in it for you?  Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!    Enjoy NiCE-FLEX!   At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.  Requisition ID: 7474 Reporting into: Tech Manager Role Type: Individual Contributor <div>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.  </div>

NICE

Specialist Software Architect

NICE

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