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At NiCE, we challenge our limits and strive to be game changers in everything we do. If you are ambitious, innovative, and always play to win, we have the ultimate career opportunity that will ignite your passion for excellence. We are currently looking for an experienced AI Architect who possesses not only strategic thinking skills but also a hands-on approach to coding. In this role, you will be involved in both proof-of-concept (POC) and production-grade AI projects. Your responsibilities will include mentoring team members, establishing ethical AI practices, and making critical decisions regarding AI deployment strategies. It is essential to have a strong background in deploying AI solutions on cloud platforms like Azure or AWS, as well as expertise in building secure and compliant data and machine learning pipelines. As a proactive leader, you will be responsible for bridging the gap between innovation and execution while ensuring scalability, security, and governance in AI systems. Your impact will be significant as you: - Build scalable AI systems and infrastructure capable of handling large datasets, ensuring performance, reliability, and maintainability. - Lead the development of secure and compliant data and machine learning pipelines, aligning with data governance and regulatory standards. - Design, develop, and implement AI models and algorithms to solve real-world business problems. - Mentor team members on AI technologies, best practices, and system architecture. - Collaborate with stakeholders to identify AI-driven innovation opportunities and translate business requirements into technical solutions. - Promote ethical and responsible AI practices across the organization. - Take ownership of strategic decisions related to AI deployment and lifecycle management. - Conduct research and implement machine learning algorithms, including Retrieval-Augmented Generation (RAG) techniques. - Develop AI applications using modern frameworks and run experiments to enhance model performance. - Define and implement AI project Software Development Lifecycle (SDLC) processes. To be successful in this role, you should have: - Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or related field. - Proven experience as an AI Architect with a track record of deploying AI solutions in production. - Strong expertise in AI/ML technologies, cloud platforms, and secure data management. - Proficiency in programming languages such as Python, .NET, and AI/ML frameworks. - Experience with AI project SDLC, CI/CD for ML, and AI testing strategies. - Familiarity with DevOps and Data Engineering tools and practices. - Strong analytical and problem-solving skills. - Excellent communication skills to convey complex technical concepts. Join NiCE, a global company where innovation and collaboration thrive. Embrace the NICE-FLEX hybrid work model for maximum flexibility and endless opportunities for growth and development. If you are passionate, innovative, and ready to raise the bar, come join us at NiCE! Requisition ID: 7474 Reporting into: Tech Manager Role Type: Individual Contributor About NiCE: NICELtd. (NASDAQ: NICE) is a global leader in software products used by over 25,000 businesses worldwide. With a focus on delivering exceptional customer experiences and ensuring public safety, NiCE is known for its innovation in AI, cloud, and digital domains. Join our team of over 8,500 employees across 30+ countries and be part of our journey towards excellence.,

As an AI Architect at NiCE, you will be responsible for building scalable AI systems and infrastructure capable of handling large datasets while ensuring performance, reliability, and maintainability. You will lead the development of secure, compliant data and machine learning pipelines to align with data governance and regulatory standards such as GDPR. Your role will involve designing, developing, and implementing AI models and algorithms to solve real-world business problems, contributing to both proof-of-concept (POC) and production-grade solutions. Mentoring and guiding team members on AI technologies, best practices, and system architecture will be a key aspect of your role, fostering a culture of continuous learning and innovation within the organization. You will collaborate with cross-functional stakeholders to identify opportunities for AI-driven innovation and translate business requirements into technical solutions. Additionally, you will be responsible for establishing and promoting ethical and responsible AI practices across the organization. Your impact will also include taking ownership of strategic decisions related to AI deployment, architecture, and lifecycle management. You will conduct research and implement appropriate machine learning algorithms, including Retrieval-Augmented Generation (RAG) techniques and integration with Vector Databases. Furthermore, you will develop and maintain AI applications using modern frameworks such as TensorFlow, PyTorch, LangChain, and Haystack, running experiments to evaluate and improve model performance. To excel in this role, you should hold a 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 is required, along with a track record of deploying multiple AI solutions in production. Proficiency in cloud platforms such as Azure or AWS is essential, as well as strong expertise in AI/ML technologies, RAG architectures, and Vector Databases. Your proficiency in programming languages like Python, .NET, or similar, along with familiarity with AI/ML frameworks and libraries, will be crucial. Experience with AI project Software Development Lifecycle (SDLC), model versioning, CI/CD for ML, and AI testing strategies is also necessary. Strong analytical and problem-solving skills, along with excellent communication skills to convey complex technical concepts, are highly valued in this position. Join NiCE, a global company known for market disruption and innovation, where you will work in a fast-paced, collaborative, and creative environment. Embrace the NICE-FLEX hybrid model that offers maximum flexibility with a balance of office and remote work, enabling teamwork, collaboration, and innovation. If you are passionate, innovative, and eager to push boundaries, NiCE offers endless internal career opportunities for growth and development across various roles, disciplines, domains, and locations.,

Req ID: 327820 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a DataRobot Consultant & Deployment Lead to join our team in Bangalore, Karn?taka (IN-KA), India (IN). Job Duties: Overview U.S. Bank is seeking an experienced and visionary AI Architect to lead the design, deployment, and optimization of DataRobot's AI platform within our Azure cloud environment. This role requires deep technical expertise in AI/ML systems, containerized deployments, and cloud infrastructure, as well as the ability to guide cross-functional teams and influence strategic decisions. The ideal candidate will serve as a Subject Matter Expert (SME) and technical leader, ensuring scalable, secure, and high-performing AI solutions across the enterprise. Key Responsibilities: Architect and oversee the end-to-end deployment of DataRobot on Azure, including containerized environments using AKS. Lead the onboarding and migration of legacy SAS-based and DataRobot Prime v6 Python models into DataRobot v8.0.21, and plan the upgrade path to v11. Collaborate with data scientists, engineers, and business stakeholders to design and implement robust model monitoring and governance frameworks. Serve as the primary escalation point for complex technical issues related to DataRobot configuration, performance, and integration. Define and enforce best practices for model lifecycle management, including onboarding, execution with historical data, and metric validation. Align DataRobot outputs with existing Power BI dashboards and develop equivalent visualizations within the platform. Guide the configuration of Azure services required for DataRobot, including networking, storage, identity, and security. Troubleshoot AKS container setup and configuration issues, and propose scalable, secure solutions. Lead the Shield process and manage Jira stories across PreDev, PostDev, Prod, and RTx environments. Mentor and train internal teams on DataRobot capabilities, deployment strategies, and AI/ML best practices. Maintain comprehensive technical documentation and contribute to the development of enterprise AI standards. ??????Required Skills & Qualifications: 7+ years of experience in AI/ML architecture, cloud engineering, or related technical leadership roles. Deep expertise in DataRobot platform deployment, configuration, and monitoring. Strong proficiency with Azure services, especially AKS, Azure Storage, Azure Networking, and Azure DevOps. Proven experience with containerized deployments and Kubernetes troubleshooting. Solid understanding of model performance metrics, monitoring strategies, and visualization tools like Power BI. Proficiency in Python and familiarity with SAS model structures and LST reports. Strong leadership, communication, and cross-functional collaboration skills. Experience working in regulated environments and navigating enterprise governance processes. Preferred Qualifications: Experience in financial services or banking environments. Familiarity with U.S. Bank's Shield process or similar enterprise deployment frameworks. Background in MLOps, CI/CD pipelines for ML, and AI governance. Minimum Skills Required: Overview U.S. Bank is seeking an experienced and visionary AI Architect to lead the design, deployment, and optimization of DataRobot's AI platform within our Azure cloud environment. This role requires deep technical expertise in AI/ML systems, containerized deployments, and cloud infrastructure, as well as the ability to guide cross-functional teams and influence strategic decisions. The ideal candidate will serve as a Subject Matter Expert (SME) and technical leader, ensuring scalable, secure, and high-performing AI solutions across the enterprise. Key Responsibilities: Architect and oversee the end-to-end deployment of DataRobot on Azure, including containerized environments using AKS. Lead the onboarding and migration of legacy SAS-based and DataRobot Prime v6 Python models into DataRobot v8.0.21, and plan the upgrade path to v11. Collaborate with data scientists, engineers, and business stakeholders to design and implement robust model monitoring and governance frameworks. Serve as the primary escalatio About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. 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