Senior AI Engineer – Applied AI & Data Science

**Together we fight for everyone’s opportunity for a better financial future.**

We will do this together — with customers, partners and colleagues. We will fight for others, not against: We will stand up for and champion everyone’s access to opportunities. The status quo is not good enough … we believe every individual and every community deserves access to financial opportunities. We are determined to support both individuals and communities in reaching a better financial future.  We know that reaching this future depends on our actions today.

Like our Purpose Statement, Voya believes in being bold and committed to action.  We are committed to a work environment where the differences that we are born with — and those we acquire throughout our lives — are understood, valued and intentionally pursued. We believe that our employees own our culture and have a responsibility to foster an environment where we all feel comfortable bringing our whole selves to work. Purposefully bringing our differences together to positively influence our culture, serve our clients and enrich our communities is essential to our vision.

**Are you ready to join a company with a strong purpose and a winning culture? Start your Voyage –** **Apply Now**

Get to Know the Opportunity

We are seeking a highly motivated Senior AI Engineer to design, build, and deploy enterprise-scale AI applications on the Snowflake AI Data Cloud. This role combines AI engineering, enterprise data exploration, software engineering, and applied analytics to transform business problems into production-ready AI solutions.

This opportunity is appropriate for candidates who can work in a remote or hybrid environment, depending on business needs, team alignment, and applicable location requirements. The ideal candidate is passionate about building intelligent systems using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and modern AI engineering frameworks.

The Contributions You’ll Make

Enterprise AI Application Development

·         Design, develop, and deploy production-grade AI applications using Snowflake Cortex AI, Cortex Search, Cortex Agents, Snowpark Python, and Snowflake ML.

·         Build enterprise copilots, conversational AI assistants, intelligent search applications, recommendation systems, and AI-powered business workflows.

·         Develop reusable AI components, frameworks, and services.

·         Take AI solutions from concept through production deployment and continuous improvement.

AI Discovery & Data Exploration

·         Explore structured and unstructured enterprise datasets to identify AI opportunities.

·         Analyze data quality, relationships, business context, and knowledge gaps.

·         Assess enterprise data readiness for RAG, semantic search, vector retrieval, and agentic AI.

·         Design metadata, embeddings, and knowledge structures that improve AI performance.

·         Translate ambiguous business challenges into scalable AI solutions.

Retrieval-Augmented Generation & Knowledge Systems

·         Design and implement enterprise RAG architectures.

·         Build semantic search and vector retrieval pipelines.

·         Develop enterprise knowledge retrieval systems.

·         Optimize grounding, relevance, retrieval quality, and response accuracy.

·         Improve AI systems through prompt engineering, retrieval tuning, and evaluation.

AI Engineering & Agentic AI

·         Design and build AI agents that reason across enterprise knowledge and business systems.

·         Develop multi-step workflows and agent orchestration pipelines.

·         Integrate LLMs with enterprise APIs, databases, and business applications.

·         Implement human-in-the-loop workflows and approval mechanisms.

·         Build secure, governed, and scalable AI services.

Platform & Software Engineering

·         Develop scalable applications using Python, SQL, Snowpark, and modern software engineering practices.

·         Build REST APIs and enterprise integrations.

·         Implement CI/CD pipelines and automated testing.

·         Optimize application performance, scalability, reliability, and cost.

AI Evaluation & Responsible AI

·         Develop evaluation frameworks for prompts, retrieval, and model performance.

·         Monitor AI quality through quantitative and qualitative evaluation techniques.

·         Implement governance, explai…