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Tier-1 employer, mid-level software title in metro and generalist expectations drive high candidate competition.
ML/GenAI and Databricks skills transfer across industries but finance data sensitivity adds moderate specialization.
Explicit 3+ years, mandatory GenAI/Databricks/AWS skills enforce strict filtering.
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Design and deliver scalable, secure technology solutions using Python, GenAI frameworks, and AWS services to meet business objectives within Consumer and Community Banking.
Develop and maintain data processing pipelines and Data Lakes on Databricks to support machine learning operations and optimize business outcomes.
Leverage enterprise-authorized AI-assisted development tools to improve code quality, delivery speed, and collaborate with cross-functional teams including data scientists and business stakeholders.
3+ years applied experience in software engineering, data science, or related fields with formal training or certification.
Advanced degree in Computer Science, Data Science, Mathematics, or related field.
Strong proficiency in Python with PySpark, Spark SQL, Databricks, and experience in GenAI models and LLM orchestration techniques.
Hands-on experience using AWS services such as S3, Lambda, Redshift, Athena, Step Functions, MSK, and EKS for building data lake architectures.
Experienced in integrating GenAI/LLM frameworks (e.g., OpenAI) and agentic AI models into business problem-solving environments.
Skilled in using AI-assisted coding tools within an enterprise environment, with capability to critically validate AI-generated outputs and implement secure coding practices.
Proficient in cross-functional collaboration with strong communication skills to translate complex technical concepts to technical and non-technical stakeholders.