Sr AI Engineer
Voya Financial
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Job summary
Voya Financial is seeking a Senior AI Engineer to design, build, and deploy enterprise-scale AI applications on the Snowflake AI Data Cloud. You will craft copilots, semantic search, and AI-powered workflows while integrating with enterprise APIs and data sources.
This role supports remote or hybrid work based on business needs and team alignment. The ideal candidate has strong experience with LLMs, RAG, and modern AI architectures, and can lead production deployments, governance, and scalable
Qualifications
- 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 & Monitoring, and AI Guardrails.
- Experience integrating AI with enterprise data, APIs, and business applications.
- Knowledge of building scalable AI components, frameworks, and services.
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.
- Collaborate with business partners to translate challenges into scalable AI architectures.
Skills
Education
Tools
Job description
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.
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
- 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.
Minimum Knowledge & Experience
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 & Monitoring
- AI Guardrails
- Hands-on experience with:
- Snowflake Cortex AI
- Cortex Search
- Cortex Agents
- Snowpark Python
- Snowflake ML
- SQL Optimization & Performance Tuning
- 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.
Voya is committed to pay that’s fair and equitable, which means comparable pay for comparable roles and responsibilities.
The below annual base salary range reflects the expected hiring range(s) for this position in the location(s) listed. 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. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Voya Financial is willing to pay at the time of this posting.
Actual compensation offered may vary from the posted salary range based upon the candidate’s geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer. Salaries for part‑time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
$160,000-$174,000
Be Well. Stay Well.
Voya provides the resources that can make a difference in your lives. To us, this means thriving physically, financially, socially and emotionally. Voya benefits are designed to help you do just that. That’s why we offer an array of plans, programs, tools and resources with one goal in mind: To help you and your family be well and stay well.
- 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
Learn more about Voya benefits (download PDF)
- Customer Focused: Passionate drive to delight our customers and offer unique solutions that deliver on their expectations.
- Critical Thinking: Thoughtful process of analyzing data and problem solving data to reach a well-reasoned solution.
- Team Mentality: Partnering effectively to drive our culture and execute on our common goals.
- Business Acumen: Appreciation and understanding of the financial services industry in order to make sound business decisions.
- Learning Agility: Openness to new ways of thinking and acquiring new skills to retain a competitive advantage.
Learn more about Critical Skills
Voya Financial is an equal-opportunity employer. Voya Financial provides equal opportunity to qualified individuals regardless of race, color, sex, national origin, citizenship status, religion, age, disability, veteran status, creed, marital status, sexual orientation, gender identity, genetic information, or any other status protected by state or local law.
Voya is committed to the inclusion of all qualified individuals. As part of this commitment, Voya will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please reference resources for applicants with disabilities.
Misuse of Voya’s name in fraud schemes
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