Senior AI Engineer – Applied AI & Data Science
About The Position
Voya is seeking a highly motivated Senior AI Engineer to design, build, and deploy enterprise-scale AI applications on the Snowflake AI Data Cloud. The role combines AI engineering, enterprise data exploration, software engineering, and applied analytics to turn business problems into production-ready AI solutions. The position can be remote or hybrid depending on business needs, team alignment, and applicable location requirements. The engineer will develop enterprise AI applications, copilots, conversational assistants, intelligent search, recommendation systems, AI-powered workflows, RAG and knowledge systems, and AI agents. The role spans discovery and assessment of structured and unstructured enterprise data, design of AI-ready data and retrieval systems, development and integration of secure AI services, software delivery and platform engineering, evaluation and monitoring, responsible AI practices, and partnership with business and technology stakeholders. The position also contributes to enterprise AI architecture standards and engineering best practices. The expected annual base salary range is $160,000–$174,000 for work performed in the listed locations. Voya also offers role-based incentive opportunities. Actual compensation may vary based on geographic location, experience, education, licensure requirements, and skill level.
Requirements
- 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), semantic search, vector embeddings, AI agents, prompt engineering, LLM evaluation, AI observability and monitoring, and AI guardrails.
- Hands-on experience with Snowflake Cortex AI, Cortex Search, Cortex Agents, Snowpark Python, Snowflake ML, SQL optimization and performance tuning, and enterprise-scale Snowflake development.
- Strong experience with Python, SQL, REST APIs, Git, CI/CD, automated testing, cloud-native development, and 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 and assessing 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.
Nice To Haves
- 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.
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, and take solutions from concept through production deployment and continuous improvement.
- Explore structured and unstructured enterprise datasets to identify AI opportunities and 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 to improve AI performance.
- Translate ambiguous business challenges into scalable AI solutions.
- Design and implement enterprise RAG architectures, semantic search and vector retrieval pipelines, and enterprise knowledge retrieval systems.
- Optimize grounding, relevance, retrieval quality, and response accuracy 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, and optimize application performance, scalability, reliability, and cost.
- Develop evaluation frameworks for prompts, retrieval, and model performance; monitor AI quality using quantitative and qualitative techniques.
- Implement governance, explainability, guardrails, and responsible AI practices; improve applications using production metrics and user feedback.
- Partner with business and technology stakeholders to identify high-value AI opportunities and 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.
Benefits
- Health insurance
- Dental insurance
- Vision insurance
- Life insurance
- 401(k) savings plan with company matching contributions up to 6%
- Employer-paid Voya Retirement Plan cash balance retirement plan (4%)
- Tuition reimbursement up to $5,250 per year
- 20 days of paid time off
- Nine paid company holidays
- Flexible Diversity Celebration Day
- 40 hours of paid volunteer time per calendar year
- Role-based incentive opportunities, which may include annual cash incentives, sales incentives, and/or long-term incentives
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What This Job Offers
Job Type
Full-time
Career Level
Senior
