Gen AI Specialist

About CybageCybage 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 ExcellenceJob DescriptionWe 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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