Lead Azure GenAI & Data Science Solutions Architect

Asian Paints Limited; Hinoba-an; On-site; PHP 900,000 - 1,700,000; Full time

Job summary

Asian Paints Limited in the Philippines seeks a hands-on leader to design, develop and deploy Data Science, ML and Generative AI solutions. You will leverage Azure AI services and build LLM- and agent-based applications using modern frameworks, guiding team members and engaging with business stakeholders.

The role covers translating requirements into production-ready models, overseeing data preparation, model evaluation and collaboration with data, cloud, security and application teams to

Responsibilities

• Understand business problems and convert them into Data Science, Machine Learning or Generative AI solutions.
• Perform hands-on development of ML and AI solutions.
• Build and evaluate classification, regression, recommendation and other predictive models.
• Develop LLM-based applications using prompt engineering, RAG, embeddings and vector search.
• Design and implement agent-based applications using suitable agentic AI frameworks.
• Develop or integrate MCP servers and MCP-based tools.
• Design and deploy AI solutions using relevant Azure data and AI services.
• Guide the team in data preparation, feature engineering, model evaluation and solution development.
• Work with business, data, cloud, security and application teams to deliver solutions through development, UAT and production.
• Monitor deployed models and AI applications for accuracy, reliability, performance and cost.
• Maintain technical documentation and promote reusable components and development standards.

Job description

Asian Paints Limited in the Philippines seeks a hands-on leader to design, develop and deploy Data Science, ML and Generative AI solutions. You will leverage Azure AI services and build LLM- and agent-based applications using modern frameworks, guiding team members and engaging with business stakeholders.

The role covers translating requirements into production-ready models, overseeing data preparation, model evaluation and collaboration with data, cloud, security and application teams to