NICE Specialist Software Architect 

India, Maharashtra, Pune 

245858728

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.

Reporting into:Tech Manager

Role Type:Individual Contributor