Gen AI Specialist

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

Generative AI Solutions Architect

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