Gen AI Specialist

1 day ago

Nagpur, India Cybage Software Full time

About Cybage Cybage Software Pvt. Ltd. is a technology consulting is a technology consulting organization specializing in outsourced product engineering services. As a leader in technology & product engineering space, Cybage works with some of the world's largest Independent Software Vendors (ISVs). Our solutions are focused on modern technologies and are enabled by a scientific, data-driven system called Decision Mines for Digital Excellence Job Description We are seeking an innovative and strategic Generative AI Solutions Architect to lead the design, development, and deployment of Generative AI-driven solutions aligned with our business objectives. This role involves integrating Generative AI technologies with robust data architectures and cloud platforms, ensuring security, privacy, performance, scalability, and cost-effective cloud optimization. Key Responsibilities: - Generative AI Strategy Development: Define and execute strategies that leverage Generative AI to drive business innovation and value. - AI & Data Architecture Design: Design scalable, high-performance architectures that integrate Generative AI models with efficient database systems and optimized cloud environments. - Technology, Model, Database & Cloud Selection: Evaluate and select the best Generative AI frameworks, models, algorithms, databases (SQL/NoSQL), and cloud platforms (e.g., Azure) tailored to business and data requirements. - Cloud Optimization & Deployment: Oversee the integration and deployment of Generative AI solutions into cloud-based infrastructure, ensuring performance, scalability, and cost optimization. - Security, Privacy & Compliance: Implement best practices for securing Generative AI systems, databases, and cloud environments, ensuring regulatory compliance and data protection. - Performance & Scalability Optimization: Continuously monitor and optimize the performance of Generative AI systems, databases, and cloud resources to meet evolving business demands. - Cross-Functional Collaboration: Collaborate with cloud engineers, database administrators, data scientists, and product teams to ensure seamless integration of Generative AI, data, and cloud solutions. - Data Governance & Quality: Ensure data quality, governance, and consistency across AI systems by implementing best practices for data architecture and cloud data management. - Cloud Cost Management: Optimize cloud usage and costs for Generative AI workloads, ensuring sustainable and efficient operations. Qualifications: - Proven experience designing and deploying Generative AI solutions integrated with complex data ecosystems and cloud infrastructure. - Strong knowledge of cloud platforms (Azure ) including deployment, scaling, and cost optimization of AI and data workloads. - Expertise in relational and non-relational databases (PostgreSQL, MySQL, MongoDB, Cassandra) and data architecture design. - Deep understanding of Generative AI frameworks, large language models, and AI-specific architectures. - Strong grasp of security, privacy, and compliance best practices for Generative AI, databases, and cloud environments. - Demonstrated ability to optimize the performance and cost of Generative AI and cloud systems. - Excellent communication and collaboration skills to align Generative AI, data, and cloud strategies with business objectives. Advantage: - Any certification on Azure Cloud

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