Principal Data Scientist / AI Engineer

About the role

This role focuses on designing, building, and deploying production-ready AI solutions that support enterprise workflows across operations, engineering, finance, and corporate functions. You will work at the intersection of applied research and software engineering, translating modern AI capabilities into secure, reliable, and scalable systems used in business-critical environments.

Responsibilities

• AI Solution & Agent Development
  • Design and implement LLM-powered applications, assistants, and agentic workflows
  • Apply prompt engineering, tool calling, and orchestration patterns
  • Translate business problems into scalable AI-enabled solutions
• Data & RAG Architecture
  • Design data pipelines for ingestion, embeddings, and retrieval
  • Implement Retrieval-Augmented Generation (RAG) solutions
  • Optimize relevance, context management, and response quality
• Workflow Automation & Integration
  • Build AI-driven workflows with conditional logic and human-in-the-loop controls
  • Integrate with enterprise data platforms, APIs, and internal systems
• Production Engineering & Deployment
  • Deploy AI models and applications using modern engineering practices
  • Ensure scalability, reliability, monitoring, and cost efficiency
  • Support CI/CD pipelines and cloud-native deployments
• Security, Governance & Responsible AI
  • Implement access controls, data protection, and PII handling
  • Support AI governance, auditability, and compliance requirements
  • Contribute to explainability, bias mitigation, and responsible AI practices

Requirements

• Bachelor's degree in Math, Statistics, Economics, Computer Science, physics, engineering, or other qualitative discipline required
• Graduate Degree preferred
• 10+ years of experience hands-on experience applying descriptive statistics, machine learning, predictive modeling, and visualization techniques to solve challenging business problems required
• Expert knowledge in: Statistical and machine learning techniques, Data Science libraries in a programming or scripting language, model deployment, machine learning workflows required
• Strong proficiency in Python and DevOps and source control management tools required
• Experience deploying AI or ML solutions in production environments
• Strong understanding of LLM-based applications and agentic systems
• Experience with RAG architectures and semantic search
• Familiarity with MLOps, monitoring, and CI/CD practices
• Experience working in enterprise or regulated environments

Qualifications

• WHAT YOU WILL NEED TO SUCCEED
  • Bachelor's degree in Math, Statistics, Economics, Computer Science, physics, engineering, or other qualitative discipline required
  • Graduate Degree preferred
  • 10+ years of experience hands-on experience applying descriptive statistics, machine learning, predictive modeling, and visualization techniques to solve challenging business problems required
  • Expert knowledge in: Statistical and machine learning techniques, Data Science libraries in a programming or scripting language, model deployment, machine learning workflows required
  • Strong proficiency in Python and DevOps and source control management tools required
  • Experience deploying AI or ML solutions in production environments
  • Strong understanding of LLM-based applications and agentic systems
  • Experience with RAG architectures and semantic search
  • Familiarity with MLOps, monitoring, and CI/CD practices
  • Experience working in enterprise or regulated environments

Pay

The salary range offered for this position is $155,000 - $213,100 annually.

Schedule

This role aligns to a 4:1 hybrid model which is in office Monday-Thursday with the option for remote work on Fridays.