Responsibilities:

• Build, optimize, and deploy AI/ML algorithms and automation pipelines using Python
• Design and deploy automated AI use cases for SQA, Business, and Developer teams
• Build and orchestrate multi-agent systems and conversational chatbots connecting Jira, Azure, Databricks, and Snowflake
• Architect stateful workflows for ESP applications using Oracle Exadata and AI frameworks
• Build automated solutions for database migration validation from Sybase to SQL Server
• Implement Neural Network data recognition for regulatory reporting and reconciliation platforms
• Build and maintain scalable test frameworks using Java, Playwright, and Cucumber
• Maximize engineering velocity using Generative AI, GitHub Copilot, Advanced RAG, and multi-agent systems
• Design and implement AI-driven testing solutions leveraging LLMs and Generative AI

Additional responsibilities:

• Collaborate across SQA, Business, and Development teams to optimize workflows
• Support digital transformation and expansion of business capabilities using cloud, AI, and robotic process automation
• Contribute to a collaborative environment valuing technology skills and innovation

More skills:

Chatbots, Agentic workflows, Advanced RAG, Oracle Exadata, Azure, Databricks, Snowflake, Sybase IQ, Sybase ASE, SQL Server

Other:

• Full-time hybrid work schedule
• Part of Global Technology Services (GTS) function
• Competitive and comprehensive benefits including medical care, insurance, savings plans
• Flexible work programs and development programs with educational support
• Inclusive environment valuing diversity in backgrounds, experiences, and perspectives
• Paid volunteer days, matching gift programs, and employee networks
• Equal opportunity and affirmative action employer