Job
Description
So, what s t he r ole 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? 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. Have you got what it takes? 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. What s in it for you? Enjoy NICE-FLEX! Requisition ID: 7474 Reporting into: Tech Manager Role Type: Individual Contributor About NICE
