Java/AI Dev (Sr/Lead)

Job Summary: Senior/Lead AI Data Engineer (Data Reconciliation Utility Development), Join a dynamic team driving enterprise modernization by designing and implementing cutting-edge AI-powered data reconciliation solutions. As a Senior/Lead AI Data Engineer, you’ll work hands-on to build scalable utilities that compare legacy and modern system data, surface inconsistencies, and deliver actionable reporting using advanced GenAI techniques. This is an opportunity for experienced engineers passionate about leveraging AI to solve complex data challenges in a collaborative environment., Architect and develop next-generation AI-based data reconciliation utilities to support modernization initiatives.

• Analyze and compare data from legacy and target systems to identify and resolve inconsistencies.
• Apply GenAI technologies, prompt engineering, and advanced pattern recognition to detect complex data mismatches.
• Build robust, scalable Python solutions for reconciliation and reporting.
• Design and maintain CI/CD pipelines to streamline application delivery.
• Work closely with architects and senior engineers to implement best-in-class solutions.
• Serve as a hands-on contributor within a collaborative, fast-paced engineering team.
• Support organization-wide data validation, quality assurance, and modernization efforts.

7+ years in professional software or data engineering.

• Proven hands-on expertise in Data Engineering.
• Advanced Python programming skills.
• Experience with LangGraph and consuming MCP services.
• Proficiency with GenAI tools and prompt engineering.
• Strong background in building and managing CI/CD pipelines.
• Superior analytical and problem-solving abilities.
• Demonstrated adaptability and quick learning of new technologies.

Preferred Skills

• Experience at Capital One.
• Background combining Data Engineering and GenAI.
• Track record building AI-driven data validation, reconciliation, or automation tools.
• Participation in large-scale modernization projects.

Opportunity to work with emerging AI and GenAI solutions in a modern engineering environment.

• Collaborative team of 11 skilled engineers, partnering with technical leaders and architects.
• Hybrid work model-preference for candidates near a Capital One campus.
• Streamlined one-round interview process (60 minutes).
• Focus on growth for hands-on builders and engineers.