About the position
The Senior Data Science Developer will design, develop, and implement enterprise AI solutions, including Generative AI applications, intelligent agents, and reusable AI components. The role will accelerate delivery of priority AI use cases and establish reusable capabilities that reduce reliance on one-off solutions and external resources. Key Responsibilities Design, develop, test, and implement GenAI applications, intelligent agents, and AI-enabled solutions for priority business use cases. Build reusable AI components, services, APIs, and solution patterns that can be leveraged across multiple business areas. Develop solutions using large language models (LLMs), retrieval-augmented generation (RAG), agentic AI, machine learning, and related AI techniques. Integrate AI solutions with enterprise data sources, applications, APIs, and business workflows . Develop prototypes and proofs of concept and evolve successful solutions toward secure, scalable, production-ready implementations. Partner with Product Managers, Data Scientists, Data Engineers, Data Architects, and business teams to translate requirements into working AI solutions. Apply software engineering practices including version control, testing, documentation, CI/CD, monitoring, and performance optimization . Evaluate AI solution performance, reliability, accuracy, and scalability and continuously improve implemented solutions. Incorporate Responsible AI, privacy, security, and data governance requirements into solution design and development. Contribute to reusable enterprise AI patterns, development standards, technical documentation, and knowledge transfer to strengthen internal AI capability.
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Mutual Respect and Open Collaboration
Future Outlook
A Secure Job with Growth Opportunities
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