AI Engineer

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New York, NY, US

Salary Range: $ To $ Annually

The AI Engineer is responsible for developing, testing, deploying, and supporting enterprise AI solutions that advance the Bank's Data & AI strategy. Reporting to the Head of Data & AI and working closely with the Lead AI Engineer, this role contributes to the design and implementation of AI agents, large language model (LLM) applications, retrieval solutions, integrations, and governance controls using Databricks and approved enterprise AI platforms.

This position provides an opportunity to work across data engineering, software development, AI governance, and business process optimization while developing expertise in generative AI, agentic architectures, and responsible AI practices within a regulated financial services environment.

• Design, develop, test, and support AI-powered applications, copilots, and agent-based solutions using Python, Databricks, and approved enterprise AI platforms.
• Assist in building retrieval-augmented generation (RAG) solutions, workflow automations, and multi-agent architectures to support business objectives.
• Develop and maintain integrations between AI solutions and enterprise systems, databases, APIs, and business applications.
• Participate in prompt engineering, context management, tool integration, and agent orchestration activities.

• Support the creation and maintenance of evaluation frameworks, test datasets, and benchmarking methodologies to measure AI performance.
• Assist in monitoring model quality, accuracy, safety, latency, and cost efficiency through dashboards and operational metrics.
• Troubleshoot AI application issues and contribute to performance tuning and continuous improvement initiatives.
• Participate in validation activities to ensure AI solutions meet business, regulatory, and governance requirements.

• Prepare, transform, and validate structured and unstructured data for AI and analytical applications.
• Collaborate with Data Engineering and Data Governance teams to ensure AI solutions utilize trusted, certified, and well-governed data sources.
• Support the development and maintenance of vectorized knowledge repositories and retrieval services.
• Contribute to data lineage, metadata, and documentation efforts supporting audit and governance requirements.

• Adhere to established standards for Responsible AI, information security, privacy, model governance, and change management.
• Support the documentation and evidence collection required for model reviews, audits, and regulatory examinations.
• Assist with monitoring guardrails related to AI safety, accuracy, traceability, observability, and operational effectiveness.
• Follow enterprise policies governing access controls, data handling, and model lifecycle management.

• Partner with data engineers, BI engineers, analysts, and business stakeholders to deliver practical AI solutions.
• Support the development of dashboards and operational reporting that measure AI adoption, effectiveness, and business value.
• Research emerging AI technologies, tools, and engineering practices and share findings with the Data & AI team.
• Participate in peer reviews, technical discussions, and knowledge-sharing activities to support team growth and innovation.
• Perform other duties as directed.

• Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Information…