Pay
In line with similar jobs
$160K–$174K against $166K–$240K, the middle half of what similar US postings state.
From 1,319 postings in the last year. Stated ranges, not salaries paid.
Senior AI Engineer – Applied AI & Data Science
New York, NY
Live, first seen by us 87 days ago- Pay
$160,000–174,000/yearAnnual period assumed — pay source
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.
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDesign and deploy production AI apps on Snowflake Cortex and Snowpark
Design and implement enterprise RAG architectures and semantic search pipelines
Design and build AI agents and multi-step orchestration workflows
Explore enterprise datasets to find and assess AI opportunities
Develop evaluation frameworks and monitor AI quality
From the employer’s posting
Design, develop, and deploy production-grade AI applications using Snowflake Cortex AI, Cortex Search, Cortex Agents, Snowpark Python, and Snowflake ML.
Design and implement enterprise RAG architectures.
Design and build AI agents that reason across enterprise knowledge and business systems.
Explore structured and unstructured enterprise datasets to identify AI opportunities.
Develop evaluation frameworks for prompts, retrieval, and model performance.
What you’ll bring
All qualificationsCore experience
- Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Mathematics, Statistics, or a related technical discipline, or equivalent work experience.
- Hands-on experience with:
Qualification wording
Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Mathematics, Statistics, or a related technical discipline, or equivalent work experience.
Hands-on experience with:
Education & alternatives
Education Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Mathematics, Statistics, or a related technical discipline, or equivalent work experience. AI Engineering
Benefits in the posting
Full benefits wording- 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.
- Critical Skills
- Learn more about Critical Skills
- Equal Employment Opportunity
- 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.
From the employer’s posting.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 12, 202687 days ago
- Recorded sightings
- 84
- Last seen by us
- Nov 8, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 87
Up longer than most. Similar jobs usually come down between day 7 and day 71.
At Voya Financial, jobs usually come down by about day 47.
From 4,682 similar postings that came down, and 11 of Voya Financial’s. Coming down is not always a hire.
Voya Financial is hiring
6 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Snowflake
Where the posting names them
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.
Platform & Software Engineering · Develop scalable applications using Python, SQL, Snowpark, and modern software engineering practices. · Build REST APIs and enterprise integrations.
· Cortex Agents · Snowpark Python · Snowflake ML
Strong experience with: · Python · SQL
· Snowflake ML · SQL Optimization & Performance Tuning · Enterprise-scale Snowflake Development
· Python · SQL · REST APIs
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.
o AI Guardrails Snowflake Expertise Hands-on experience with:
Hands-on experience with: · Snowflake Cortex AI · Cortex Search
· Snowpark Python · Snowflake ML · SQL Optimization & Performance Tuning
· SQL Optimization & Performance Tuning · Enterprise-scale Snowflake Development Software Engineering
Your next step
Complete your application on godirect.wd5.myworkdayjobs.com. The employer’s form will show what is required.
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Already applied? Track this application
About Voya Financial
- People
- About 11,000 in 2025, up 10% from the year before.Annual report (SEC Form 10-K)
- Company
- Listed as VOYA.
Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
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.
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, explainability, guardrails, and responsible AI practices.
· Improve AI applications using production metrics and user feedback.
Business Partnership & Innovation
· 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
Education
Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Mathematics, Statistics, or a related technical discipline, or equivalent work experience.
AI Engineering
· Proven experience building and deploying production AI or GenAI solutions.
· Strong understanding of LLMs and modern AI architectures.
· Hands-on experience with:
o Retrieval-Augmented Generation (RAG)
o Semantic Search
o Vector Embeddings
o AI Agents
o Prompt Engineering
o LLM Evaluation
o AI Observability & Monitoring
o AI Guardrails
Snowflake Expertise
Hands-on experience with:
· Snowflake Cortex AI
· Cortex Search
· Cortex Agents
· Snowpark Python
· Snowflake ML
· SQL Optimization & Performance Tuning
· Enterprise-scale Snowflake Development
Software Engineering
Strong experience with:
· Python
· SQL
· REST APIs
· Git
· CI/CD
· Automated Testing
· Cloud-Native Development
· Enterprise Software Engineering Best Practices
Data Exploration & Analytics
· 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.
Business & Communication
· 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.
Preferred Knowledge & Experience
Preferred qualifications include experience that helps the candidate accelerate impact in enterprise AI delivery, platform engineering, and business partnership.
· 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.
#LI-LW1
Compensation Pay Disclosure:
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-$174,000Be 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.
What We Offer
- 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)
Critical Skills
At Voya, we have identified the following critical skills which are key to success in our culture:
- 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
Equal Employment Opportunity
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.
Reasonable Accommodations
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
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.
- Location & working pattern
New York, NY
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
- Work authorization
Equal Employment Opportunity 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. Reasonable Accommodations