Data Engineer

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets;

an ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.

Remote (supporting EST hours)

We are seeking an experienced Data Engineer to support a large-scale AI, Data, and Analytics transformation initiative within a leading Financial Services organization. This role will be responsible for driving platform modernization, AI Gateway migration, BI transformation, AI evaluation framework development, and cloud-native data engineering. The successful candidate will play a key role in supporting the organization's AI ecosystem built on Claude LLM, OpenAI Custom GPTs, AWS, Tableau, and Alteryx, while helping define strategy and execute the migration of enterprise AI and analytics platforms.

Platform Migration & Modernization

Design and execute migration strategies for enterprise data, analytics, and AI platforms to AWS cloud environments.

Assess legacy architectures and define target-state data and AI platform architectures.

Lead migration planning, implementation, testing, and production deployment activities.

Optimize platform performance, scalability, resiliency, and operational efficiency.

Develop migration roadmaps and implementation plans aligned with business and technology objectives.

AI Gateway Engineering & Migration

Design, develop, and support enterprise AI Gateway solutions enabling governed access to AI services.

Lead the migration of AI Gateway capabilities from Portkey to Apigee, including architecture design, implementation planning, and execution.

Develop and maintain integration frameworks connecting enterprise applications to:
Claude LLM, OpenAI Custom GPTs, AWS Bedrock and AI services.

Implement authentication, authorization, observability, rate limiting, usage tracking, and audit capabilities.

Create reusable APIs and services that enable secure and scalable AI adoption across the organization.

Establish operational monitoring and governance controls for AI platform usage.

AI Evaluation Framework & Tool Development

Define enterprise AI evaluation, testing, and validation frameworks for GenAI applications, AI agents, and LLM-powered solutions.

Build evaluation tooling and automation capabilities covering:
Functional testing, Accuracy testing, Hallucination detection, Prompt evaluation, Groundedness verification, Safety and toxicity testing, Bias and fairness assessment, Regression testing, Agent workflow validation, Performance benchmarking.

Develop evaluation datasets, benchmark suites, scoring methodologies, and approval criteria.

Implement automated testing pipelines integrated into AI development and deployment workflows.

Create evaluation dashboards and reporting capabilities for engineering, governance, and business stakeholders.

AI Monitoring & Observability

Design and implement monitoring frameworks for AI applications, agents, and AI Gateway services.

Develop solutions to monitor:
Model performance, Service latency, Token consumption, User adoption, AI quality metrics, Cost and utilization trends, Production…