AI Solutions Engineer Jobs in New York
AI Solutions Engineer jobs in New York are among the most active in the country, with strong demand concentrated in financial services, enterprise technology, media, and healthcare across experience levels from entry-level through principal engineer. The heaviest hiring is in New York City, with meaningful activity in Albany and Buffalo as well, and established employers such as IBM, JPMorgan Chase, and Microsoft maintain significant New York presences and regularly hire for this role. The most sought-after specialties include large language model integration, MLOps infrastructure, and enterprise AI platform deployment. Find a role that fits below and apply directly.
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INTRODUCTION
DBRS Morningstar's Structured Finance Analytics group (SFA) supports the analytics lifecycle through predictive models and analytical tools, software maintenance, regulatory requests, cash flow analytics, data pipelines, performance insights, infrastructure, and automation. Within SFA, the Solutions team coordinates project flow, develops analytical methodologies, performs quantitative consulting and investigations, coordinates model and tool review with the Methodology Review Function, and supports AI-enabled solutions across Global Structured Finance (GSF).
The Analyst will support the Head of Solutions across methodology development, AI initiatives, analytical investigations, and executive presentations. The role suits an intellectually curious, highly organized candidate who can work across analytics, technology, and business functions. Advanced coding expertise is not required, but candidates should be comfortable with data analysis and technical environments. Experience using generative AI or AI-assisted coding tools to prototype solutions, automate workflows, or test ideas is especially valuable. We cover many topics, and you are expected to quickly learn nuances of the credit analysis industry.
JOB RESPONSIBILITIES:
- Support the design, documentation, testing, and maintenance of bespoke analytical methodologies.
- Help coordinate, test, document, and drive adoption of AI-enabled solutions across GSF.
- Use generative AI and AI-assisted development tools to prototype practical solutions and automate repeatable tasks with appropriate review and oversight.
- Create executive-ready dashboards, visualizations, presentations, and quantitative analyses.
- Partner across analytical, technology, business, and governance functions to improve processes and decision-making.
QUALIFICATIONS
- Bachelor's degree in an analytical discipline and 0-3 years of relevant professional experience.
- Strong organization, project management, analytical problem-solving, communication, and attention to detail.
- Ability to balance multiple priorities and build effective relationships across technical and business teams.
- Curiosity about AI, data-driven decision-making, structured finance, analytical methodologies, and software development lifecycles.
- Familiarity with Python, SQL, or other coding languages a plus.
- Hands-on use of generative AI, AI-assisted coding, prompt design, low-code/no-code, or workflow automation tools a plus.
- Exposure to project management tools like Jira or Asana a plus.
- Exposure to financial services, credit ratings, structured finance, risk analytics, quantitative modeling, or cross-functional AI projects a plus.
About us
Morningstar DBRS is a leading provider of independent rating services and opinions for corporate and sovereign entities, financial institutions, and project and structured finance instruments globally. Rating more than 4,000 issuers and 60,000 securities, it is one of the top four credit rating agencies in the world.
Morningstar DBRS empowers investor success by bringing more transparency and a much-needed diversity of opinion in the credit rating industry. Our approach and size allow us to be nimble enough to respond to customers' needs in their local markets, but large enough to provide the necessary expertise and resources they require. Market innovators choose to work with us because of our agility, tech-forward approach, and exceptional customer service.
Morningstar DBRS is the next generation of credit ratings.
COMPENSATION AND BENEFITS
At Morningstar we believe people are at their best when they are at their healthiest. That’s why we champion your wellness through a wide range of programs that support all stages of your personal and professional life. Here are some examples of the offerings we provide:
- Financial Health
- 100% 401k match up to 6% of salary
- Stock Ownership Potential
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Company provided life insurance - 1x salary + commission
-
Physical Health
- Comprehensive health benefits (medical/dental/vision) including potential premium discounts and company-provided HSA contributions (up to $500-$2,000 annually) for specific plans and coverages
- Additional medical Wellness Incentives - up to $300-$600 annual
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Company-provided long- and short-term disability insurance
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Emotional Health
- Trust-Based Time Off
- 6-week Paid Sabbatical Program
- 6-Week Paid Family Caregiving Leave
- Competitive 8-24 Week Paid Parental Leave
- Adoption Assistance
- Leadership Coaching & Formal Mentorship Opportunities
- Annual Flex Stipend - $1000 annually to cover personal education & well-being expenses
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Tuition Reimbursement
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Social Health
- Charitable Matching Gifts program
- Dollars for Doers volunteer program
- Paid volunteering days
- 15+ Employee Resource & Affinity Groups
BASE SALARY COMPENSATION RANGE
$75,182.00-$91,848.66
INCENTIVE TARGET PERCENTAGE
10% Annual
If you receive and accept an offer from us, we require that personal and any related investments be disclosed confidentiality to our Compliance team (days vary by region). These investments will be reviewed to ensure they meet Code of Ethics requirements. If any conflicts of interest are identified, then you will be required to liquidate those holdings immediately. In addition, dependent on your department and location of work certain employee accounts must be held with an approved broker (for example all, U.S. employee accounts). If this applies and your account(s) are not with an approved broker, you will be required to move your holdings to an approved broker.
Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.
R06_DBRInc DBRS, Inc. - US Legal Entity
See All 83 AI Solutions Engineer Jobs in New York
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Find AI Solutions Engineer JobsAI Solutions Engineer Jobs by City in New York
Where New York roles are concentrated, by current openings.
AI Solutions Engineer Job Market in New York
A snapshot from current New York openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Investment & Asset Management
- Science & Research
- Consulting & Professional Services
- Education
- Law & Legal Services
What New York Employers Look For
The qualifications that appear most often in AI solutions engineer jobs across New York.
- Bachelor's or master's degree in computer science, engineering, or a related technical field
- Hands-on experience building and deploying machine learning or AI solutions in production environments
- Proficiency in Python and familiarity with AI frameworks such as TensorFlow, PyTorch, or LangChain
- Experience with cloud platforms including AWS, Azure, or Google Cloud for AI workload deployment
- Strong ability to translate complex AI capabilities into clear solutions for non-technical business stakeholders
- Familiarity with API design, system integration, and enterprise software architecture patterns
AI Solutions Engineer Jobs in New York: Frequently Asked Questions
How do you become a ai solutions engineer in New York?
Most ai solutions engineers in New York enter through a computer science, data science, or software engineering degree, then build hands-on AI or ML experience through roles in software development, data engineering, or research. New York does not require a state-issued license for this role. Employers in New York's financial services and enterprise technology sectors place particular weight on demonstrated project experience, cloud certifications from AWS or Microsoft, and the ability to present working prototypes or case studies.
How much do AI solutions engineers make in New York?
AI solutions engineers in New York earn a median of about $166,180 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $97,430 for the lowest 10% to over $224,590 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai solutions engineers in New York?
Employers hiring ai solutions engineers in New York right now include Amazon Web Services, JPMorganChase, and EY, based on current listings on Migrate Mate as of November 2026. New York's concentration of large financial institutions, global tech firms, and media companies means demand is spread across industries rather than being limited to a single sector.
Which New York cities have the most ai solutions engineer jobs?
The cities with the most ai solutions engineer openings in New York are New York, New York State, and Albany. New York City dominates the distribution because it is home to the headquarters of major financial institutions, global consulting firms, and enterprise technology companies that are the primary buyers of AI engineering talent, while smaller metros such as Albany and Buffalo contribute openings tied to state government technology initiatives and regional healthcare systems.
Are there remote ai solutions engineer jobs in New York?
Yes, and more than most fields. About 78% of ai solutions engineer openings tied to New York are remote or hybrid as of November 2026, reflecting how much of the work involves software development, model integration, and stakeholder consultation that can be done off-site. The parts of the role most likely to be fully remote are prototyping, API development, and documentation, while on-site presence is more often required during initial client deployment or enterprise integration phases.
How can I get hired as a ai solutions engineer in New York with little or no experience?
The most realistic entry path is through an adjacent software or data role such as junior data scientist, machine learning engineer, or backend developer at a New York firm, then moving into AI solutions work as employers build out their AI teams. Large New York employers including IBM and Accenture run associate and early-career technology programs that accept candidates with strong academic projects or personal AI portfolios. Building a demonstrable project using a publicly available large language model API and presenting it on GitHub gives candidates a concrete edge in New York interviews.
Where can I find and apply to ai solutions engineer jobs in New York?
You can find and apply to ai solutions engineer jobs in New York on Migrate Mate, which lists current New York openings updated regularly. Search the available roles, find the ones that match your experience and target location, and apply directly to each employer through the listing.
See All 83 AI Solutions Engineer Jobs in New York
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