Specialist Software Architect

Summary

Join NICE, a global leader in AI, cloud, and digital solutions, as an experienced AI Architect. This role demands strategic thinking and hands-on coding expertise to contribute to both proof-of-concept and production-grade AI projects. You will mentor team members, establish ethical AI practices, and make critical decisions on AI deployment strategies. A strong background in deploying AI solutions on cloud platforms (Azure or AWS) and building secure data and machine learning pipelines is essential. This position requires a proactive leader who bridges innovation and execution, ensuring scalability, security, and governance in AI systems. NICE offers a hybrid work model (NICE-FLEX) with flexibility and numerous career growth opportunities.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field
• 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
• Strong expertise in AI/ML technologies, including experience with RAG architectures and Vector Databases
• Proficiency in cloud platforms such as Azure or AWS, with hands-on experience in deploying enterprise-grade AI solutions
• Solid understanding of building and managing secure, scalable data and ML pipelines, with knowledge of data security governance and compliance (e.g., GDPR)
• Proficiency in programming languages such as Python, .NET, or similar, and familiarity with AI/ML frameworks and libraries
• Experience with AI project SDLC, including model versioning, CI/CD for ML, and AI testing strategies
• Familiarity with DevOps and Data Engineering tools and practices
• Strong analytical and problem-solving skills, with the ability to work collaboratively in a fast-paced environment
• Excellent communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders
• Demonstrated commitment to continuous learning and staying up to date with the latest AI trends and technologies

Responsibilities

• Build scalable AI systems and infrastructure capable of handling large datasets, ensuring performance, reliability, and maintainability
• Lead the development of secure, compliant data and machine learning pipelines, ensuring alignment with data governance and regulatory standards such as GDPR
• 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
• Mentor and guide team members on AI technologies, best practices, and system architecture, fostering a culture of continuous learning and innovation
• Collaborate with cross-functional stakeholders to identify opportunities for AI-driven innovation and translate business requirements into technical solutions
• Establish and promote ethical and responsible AI practices across the organization
• Take ownership of strategic decisions related to AI deployment, architecture, and lifecycle management
• Conduct research and implement appropriate machine learning algorithms, including Retrieval-Augmented Generation (RAG) techniques and integration with Vector Databases
• Develop and maintain AI applications using modern frameworks (e.g., TensorFlow, PyTorch, LangChain, Haystack), and run experiments to evaluate and improve model performance
• Define and implement AI project Software Development Lifecycle (SDLC) processes, including versioning, testing, validation, and monitoring strategies
• Ensure AI systems are secure, scalable, and aligned with the company’s business strategy and compliance requirements
• Stay current with advancements in AI, machine learning, and data engineering to continuously enhance system capabilities

Benefits

• 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