[Remote] Senior AI Engineer – Applied AI & Data Science

Note: The job is a remote job and is open to candidates in USA. Voya Financial is a company committed to providing financial opportunities for everyone. They are seeking a Senior AI Engineer to design, build, and deploy enterprise-scale AI applications on the Snowflake AI Data Cloud, focusing on transforming business problems into production-ready AI solutions. Responsibilities • 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 • 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 • 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 • 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 • 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 • Develop evaluation frameworks for prompts, retrieval, and model performance • Monitor AI quality through quantitative and qualitative evaluation techniques • Implement governance, explainability, guardrails, and responsible AI practices • Improve AI applications using production metrics and user feedback • Partner directly with business and technology stakeholders to identify high-value AI opportunities • Translate business challenges into scalable AI architectures • Prototype innovative AI solutions and validate business value • Present AI concepts and recommendations to technical and executive audiences • Help establish enterprise AI architecture standards, engineering guidelines, and best practices Skills • Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Mathematics, Statistics, or a related technical discipline, or equivalent work experience • Proven experience building and deploying production AI or GenAI solutions • Strong understanding of LLMs and modern AI architectures • Hands-on experience with Retrieval-Augmented Generation (RAG) • Hands-on experience with Semantic Search • Hands-on experience with Vector Embeddings • Hands-on experience with AI Agents • Hands-on experience with Prompt Engineering • Hands-on experience with LLM Evaluation • Hands-on experience with AI Observability & Monitoring • Hands-on experience with AI Guardrails • Hands-on experience with Snowflake Cortex AI • Hands-on experience with Cortex Search • Hands-on experience with Cortex Agents • Hands-on experience with Snowpark Python • Hands-on experience with Snowflake ML • Hands-on experience with SQL Optimization & Performance Tuning • Hands-on experience with Enterprise-scale Snowflake Development • Strong experience with Python • Strong experience with SQL • Strong experience with REST APIs • Strong experience with Git • Strong experience with CI/CD • Strong experience with Automated Testing • Strong experience with Cloud-Native Development • Strong experience with Enterprise Software Engineering Best Practices • Experience exploring large enterprise datasets to uncover business insights and opportunities • Strong understanding of structured and unstructured data • Experience building AI-ready data models and pipelines • Ability to assess data quality and AI suitability • Familiarity with machine learning concepts and evaluation methodologies • Excellent analytical and problem-solving skills • Ability to translate ambiguous business problems into scalable AI solutions • Strong stakeholder management and executive communication skills • Ability to independently drive initiatives from ideation through production deployment • Design and deploy enterprise AI applications that solve real business problems • Build scalable RAG, semantic search, and agentic AI solutions • Develop reusable AI capabilities that accelerate future product development • Improve enterprise productivity through AI-powered automation and intelligent assistants • Help define AI architecture standards and engineering best practices • Partner with business leaders to identify opportunities where AI can deliver measurable business impact Benefits • Health, dental, vision and life insurance plans • 401(k) Savings plan – with generous company matching contributions (up to 6%) • Voya Retirement Plan – employer paid cash balance retirement plan (4%) • Tuition reimbursement up to $5,250/year • Paid time off – including 20 days paid time off, nine paid company holidays and a flexible Diversity Celebration Day. • Paid volunteer time — 40 hours per calendar year • In addition to base salary, Voya offers incentive opportunities (i.e., annual cash incentives, sales incentives, and/or long-term incentives) based on the role to reward the achievement of annual performance objectives. Company Overview • Voya Financial is a financial services company that specializes in the fields of retirement, investments, and insurance. It is a sub-organization of Venerable Holdings. It was founded in 1991, and is headquartered in Atlanta, Georgia, USA, with a workforce of 10001+ employees. Its website is https://www.voya.com/. Company H1B Sponsorship • Voya Financial has a track record of offering H1B sponsorships, with 1 in 2025, 4 in 2024, 2 in 2023, 1 in 2022, 5 in 2021, 1 in 2020. Please note that this does not guarantee sponsorship for this specific role.