AI Software Developer Jobs in New York
AI Software Developer jobs in New York are among the most active in the country, with strong demand across financial services, media and entertainment, healthcare technology, and enterprise software, at levels from entry-level through principal engineer. Most hiring concentrates in New York City, particularly Manhattan and Brooklyn, with additional volume in Buffalo and Albany. Employers with an established, lasting presence in New York that regularly hire ai software developers include IBM, JPMorgan Chase, and Google. The most in-demand specialties are large language model engineering, ML infrastructure, and applied AI for financial and clinical applications. Find a role that fits below and apply directly.
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THE POSITION
Our roster has an opening with your name on it
As the senior-most technical Knowledge & Context Engineer, you will design and operationalize a centralized multimodal memory architecture spanning vector retrieval, knowledge graphs, ontologies, metadata systems, runtime memory injection, and lineage and governance frameworks.
This role sits at the intersection of AI engineering, distributed systems, and applied intelligence. You will lead the strategy and execution for how enterprise knowledge is structured, represented, governed, retrieved, and operationalized across agents, copilots, automation systems, and customer-facing AI products.
Importantly, you will sit at the cutting edge of building the cognitive substrate for an AI-native enterprise. Come join us as a hands-on thought leader who innovates by doing.
In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.
THE GAME PLAN
Everyone on our team has a part to play
Build foundational content intelligence systems: Design systems for ingestion, indexing, embeddings, metadata, retrieval, lineage, governance, and auditability that can support both internal and customer-facing AI use cases. This includes customers, media and marketing assets, product features, production code, websites, game sounds, customer service experiences, operational workflows, and other enterprise content.
Establish enterprise knowledge graphs and ontologies: Define and implement a regulatory-compliant knowledge graph strategy that creates deep context about FanDuel’s products, employees, operations, customers, and systems. Own the design of graph databases, semantic models, ontologies, entity resolution patterns, and relationships across vector and non-vector data. Build the connective tissue that allows AI systems and agents to reason over enterprise context with precision, transparency, and control.
Design secure memory patterns for agents: Create reusable design patterns for how AI agents acquire, store, retrieve, update, and discard context during runtime. This includes short-term memory, long-term memory, episodic memory, summarization, context injection, retrieval augmentation, and governed memory sharing across tools and systems. Ensure memory systems are efficient, secure, auditable, and appropriate for regulated environments.
Champion responsible AI development: Ensure knowledge, retrieval, graph, and memory systems meet regulatory requirements, ethical standards, privacy obligations, and responsible gaming principles. Build safeguards, access controls, provenance, explainability, monitoring, and auditability into the platform from day one.
In six months, you’ll know you’re heading on the right path if you’ve built:
- Reusable runtime memory patterns that are being used by multiple agents to securely acquire, retrieve, summarize, and apply context during execution.
- A production-grade graph and ontology framework connecting products, customers, employees, operations, systems, and content with clear lineage, access controls, and regulatory compliance.
- The first context sets of centralized, governed multimodal vector store and retrieval layer supporting AI applications across customer, product, marketing, engineering, operations, and support domains.
- Teams can build AI solutions faster because retrieval, memory, metadata, governance, and knowledge graph capabilities are available as shared primitives rather than bespoke pipelines.
THE STATS
What we're looking for in our next teammate
- 7+ years of engineering experience, preferably working with large distributed systems that support a mix of data and software development activities. Bonus to consulting engineers and people with experience on early startup teams.
- Track record of taking products from concept to launch in fast-moving, ambiguous environments.
- Practical fluency with generative AI tools and concepts—especially graph, RAG, AgenticRAG, fine-tuning, and anti-RAG patterns.
- Experience building or operating vector and graph DBs, ontology, semantic search, and runtime memory evaluations.
- Ability to operate autonomously, create clarity from ambiguity, and influence across a matrixed organization.
- Strong communication skills—able to translate AI concepts into clear value narratives for both technical and non-technical stakeholders.
- High ownership mindset with a bias for action and outcomes over outputs.
- For bonus points, experience and background in gaming, fintech, marketplace, or other regulated industries.
ABOUT FANDUEL
FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.
In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.
The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.
FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).
PLAYER BENEFITS
We treat our team right
We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits, pet insurance, and more - check out all our benefits here: FanDuel Total Rewards. Benefits differ across location, role, and level.
FanDuel is an equal opportunities employer and we believe, as one of our principles states, “We are One Team!”. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.
The applicable salary range for this position is $170,000 - $213,000 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.
FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email Benefits@fanduel.com.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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See All 93 AI Software Developer Jobs in New York
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Find AI Software Developer JobsAI Software Developer Jobs by City in New York
Where New York roles are concentrated, by current openings.
AI Software Developer Job Market in New York
A snapshot from current New York openings, updated as new roles post.
Who's Hiring
- Databricks13

- NVIDIA6

- The New York Times5

- Bloomberg4

- EY4

Top Industries Hiring
- Technology & Software61
- Consulting & Professional Services5
- Law & Legal Services5
- Accounting & Auditing4
- Investment & Asset Management4
What New York Employers Look For
The qualifications that appear most often in AI software developer jobs across New York.
- Bachelor's or master's degree in computer science, machine learning, or a related technical field
- Proficiency in Python and at least one ML framework such as TensorFlow or PyTorch
- Hands-on experience designing, training, and deploying large language models or generative AI systems
- Familiarity with cloud platforms such as AWS, Google Cloud, or Azure for model deployment and scaling
- Experience with MLOps practices including model versioning, monitoring, and CI/CD pipelines
- Strong communication skills for collaborating with cross-functional product and business teams in New York
AI Software Developer Jobs in New York: Frequently Asked Questions
How do you become a ai software developer in New York?
There is no state-issued license required to work as an ai software developer in New York. The standard path is a bachelor's degree in computer science, data science, or a closely related field, followed by hands-on project work or graduate study in machine learning. New York employers expect candidates to demonstrate applied skills through a portfolio, open-source contributions, or relevant internships at New York-based technology, finance, or healthcare firms before hiring at the professional level.
How much do AI software developers make in New York?
AI software developers 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 software developers in New York?
Employers hiring ai software developers in New York right now include Databricks, NVIDIA, and The New York Times, based on current listings on Migrate Mate as of June 2026. New York's concentration of major financial institutions, media companies, and healthcare networks means ai software developer roles appear across a wider range of industries here than in most other states.
Which New York cities have the most ai software developer jobs?
The cities with the most ai software developer openings in New York are New York, New York City, and New York. New York City dominates due to its density of financial services firms, large technology offices, and media companies headquartered in Manhattan and Brooklyn, while secondary markets like Buffalo and Albany reflect growth from university research partnerships and state government technology modernization efforts.
Are there remote ai software developer jobs in New York?
Yes, and more than most fields. About 37% of ai software developer openings tied to New York are remote or hybrid as of June 2026, reflecting how much of the work involves writing code, training models, and analyzing data rather than being physically on-site. Research, model development, and evaluation tasks are the portions of the role most commonly performed fully remote.
How can I get hired as a ai software developer in New York with little or no experience?
The most realistic entry path is a structured internship or rotational program at a large New York employer. IBM, JPMorgan Chase, and major New York health systems such as NewYork-Presbyterian run early-career technical programs that accept candidates who have completed relevant coursework but lack full-time experience. Lateral moves from data analyst, software engineer, or research assistant roles are also common. A portfolio of personal or academic projects demonstrating model-building and deployment gives candidates a clear edge in New York interviews.
Where can I find and apply to ai software developer jobs in New York?
You can find and apply to ai software developer jobs in New York on Migrate Mate, which lists current openings tied to the New York market. Search the available roles, identify the ones that fit your background and location preference, and apply directly to each position that matches.
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