Specialist Software Architect

Key Responsibilities:

• Build scalable AI systems and infrastructure capable of handling large datasets with a focus on performance, reliability, and maintainability.
• Lead the development of secure, compliant data and machine learning pipelines, ensuring alignment with data governance and regulatory standards.
• Design, develop, and implement AI models and algorithms to solve real-world business problems, contributing to proof-of-concept and production-grade solutions.
• Mentor and guide team members on AI technologies, best practices, and system architecture.
• 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 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 enhance system capabilities continuously.

Qualifications Required:

• Bachelors or Masters 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.
• Hands-on experience in securely integrating AI solutions across cross-functional teams, with expertise in Azure cloud security best practices and implementation.
• Solid understanding of building and managing secure, scalable data and ML pipelines, with knowledge of data security governance and compliance.
• 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 to convey complex technical concepts to technical and non-technical stakeholders.
• Commitment to continuous learning and staying current with the latest AI trends and technologies.

Join NiCE, a global company known for market disruption and innovation in AI, cloud, and digital domains. Embrace the NiCE-FLEX hybrid model for maximum flexibility and endless internal career opportunities across various roles and locations. If you are passionate, innovative, and ready to raise the bar, NiCE is where you belong!,