AI Data Scientist

• Design, develop, and deploy AI solutions using Generative AI, large language models, and agentic AI patterns to address high-value business and operational challenges.

• Build intelligent solutions that combine structured and unstructured data, semantic data models, and knowledge graph capabilities to improve automation, search, insight generation, and decision support.

• Develop and scale proof-of-concept solutions in Python and transition them into robust, enterprise-ready AI products for broader organizational use.

• Apply SQL and other data transformation techniques to analyze, integrate, and prepare data from multiple enterprise sources.

• Collaborate with business stakeholders, product teams, data engineers, architects, and domain experts to identify AI use cases and translate business requirements into scalable technical solutions.

• Integrate FAIR data principles and data-centric design practices with AI to promote interoperability, discoverability, and governance of data assets.

• Leverage AWS services and cloud best practices, including AWS Bedrock, to design scalable, secure, and maintainable AI solutions.

• Develop AI-enabled applications using OpenAI APIs, foundation model platforms, and enterprise AI tooling in alignment with business and technical standards.

• Utilize Databricks and associated data/AI workflows to support experimentation, model development, and scalable deployment patterns.

• Ensure alignment with Responsible AI, security, privacy, and compliance expectations, including familiarity with emerging AI regulatory frameworks such as the EU AI Act.

• Facilitate working sessions with stakeholders to clarify concepts, define success criteria, and align on transformation opportunities enabled by AI.

• Contribute to the development of standards, reusable assets, and best practices for AI solution design, semantic modeling, and product scaling.

• Promote a culture of continuous improvement, innovation, and transformation by identifying opportunities to improve current processes, technologies, and ways of working.

• Stay current with advancements in AI, agentic architectures, and regulatory expectations, and apply those insights pragmatically within the organization.

Basic Qualifications and Experience

Master’s OR Bachelor’s degree with 4 to 7 years of experience in Data Science, Artificial Intelligence, Computer Science, Information Science, or related