Senior AI Data Solutions Architect

The Options Clearing Corporation (OCC); Chicago (IL); Hybrid; USD 128,000 - 152,000; Full time

Benefits offered by this job

Hybrid work

Tuition reimbursement

Student loan assistance

Tech stipend

PTO & parental leave

401k match

Health benefits

Job summary

The Options Clearing Corporation (OCC) is seeking a senior AI data engineer to lead the development and deployment of AI data solutions across OCC. You will work with product managers, designers, and domain experts to prototype and deploy AI-enabled data products and to drive enterprise-wide AI capabilities.

You will design backend infrastructure for AI data services, implement RAG systems with vector databases, and oversee model versioning and observability.

Qualifications

• Master’s degree in computer science, software analytics, or related with 2 years of data analytics experience.
• Experience developing Python software for data systems and AI platforms including Claude Enterprise.
• Experience deploying enterprise RAG systems with embedded vector databases.
• Experience administering AWS Bedrock and building model evaluation frameworks (MMLU, TruthfulQA).

Responsibilities

• Collaborate with cross-functional teams to integrate AI data solutions into products.
• Develop and deploy ML models and AI-enabled data products; advise on AI best practices.
• Lead design and deployment of Gen AI data solutions; establish standards and roadmaps.

Skills

Python development

Integrations design

RAG systems deployment

AWS Bedrock administration

Education

Master’s degree + 2 years experience

Tools

Claude Enterprise

MCP servers

Amazon Q Business

Vector databases

Job description

The Options Clearing Corporation (OCC) is seeking a senior AI data engineer to lead the development and deployment of AI data solutions across OCC. You will work with product managers, designers, and domain experts to prototype and deploy AI-enabled data products and to drive enterprise-wide AI capabilities.

You will design backend infrastructure for AI data services, implement RAG systems with vector databases, and oversee model versioning and observability.