Associate Principal, Artificial Intelligence Engineering
Office of the Comptroller of the Currency2 days ago
Base Salary
$128k - $152k/yr
Responsibilities
- Develop Python command-line tools, data processing and extraction scripts, reusable tooling, and platform integration utilities for enterprise data and AI systems.
- Design, deploy, and optimize generative AI data solutions, RAG systems, and complex LLM agent workflows.
- Integrate cross-platform enterprise data sources with downstream data and AI platforms using Python, Model Context Protocol servers, and enterprise platform connectors.
- Deploy and configure enterprise RAG systems with embedded vector databases using Amazon Q Business.
- Administer AWS Bedrock to provision and manage large language models and build evaluation frameworks using MMLU and TruthfulQA.
- Lead technical architecture, standards, best practices, roadmap development, and backend infrastructure for AI data services.
- Establish practices for prompt engineering, model versioning, observability, benchmarking, evaluation, and continuous improvement.
- Develop KPIs to monitor AI data utilization, effectiveness, and integration.
- Advise product teams, collaborate with cross-functional stakeholders, and mentor team members.
Requirements
- Master's degree in computer science, software engineering, analytics, or a related field.
- At least two years of experience as a data analyst, data analytics engineering associate, or in a related role.
- Experience developing Python software supporting enterprise data systems and AI platforms, including Claude Enterprise.
- Experience integrating enterprise data sources with downstream data and AI platforms using Python, Model Context Protocol servers, and enterprise platform connectors.
- Experience deploying and configuring enterprise RAG systems with embedded vector databases using Amazon Q Business.
- Experience administering AWS Bedrock and building model evaluation frameworks using MMLU and TruthfulQA.
Benefits
- Hybrid work environment with up to 2 days per week of remote work, or up to 40% telecommuting permitted.
- Standard benefits package including competitive medical, dental, and vision coverage.
- Tuition reimbursement and student loan repayment assistance.
- Technology stipend for remote connectivity.
- Generous paid time off and parental leave.
- 401(k) employer match.
- Collaborative environment supporting work-life balance and employee wellness.