Senior AI Software Engineer Jobs in New York, NY
Senior AI Software Engineer jobs in New York are in high demand, concentrated in Midtown Manhattan, the Flatiron District, and Hudson Yards across finance, media, and enterprise technology. Employers hiring right now include Spotify, Google, and Databricks. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 192+ Senior AI Software Engineer jobs
INTRODUCTION
Navan is building the next generation of intelligent travel experiences, where loyalty, personalization, and AI agents help travelers make better decisions before, during, and after every trip. As a Senior Software Engineer, AI on the Loyalty Wallet team, you'll build agentic product experiences that understand a traveler's loyalty programs, surface useful insights, and safely help users manage their memberships through Navan Edge.
ROLE AND RESPONSIBILITIES
- Build AI-Powered Product Experiences: Design and develop agentic workflows that help users view, understand, connect, and manage their loyalty programs through chat, wallet surfaces, and personalized recommendations.
- Develop Production AI Systems: Build reliable LLM-powered flows with structured outputs, tool calling, guardrails, human confirmation, evals, and monitoring for real customer-facing use cases.
- Own Agent and Workflow Quality: Create and maintain scenario tests, adversarial evals, prompt/tool contracts, and quality metrics that ensure agents behave safely around loyalty data, PII, financial guidance, and unsupported requests.
- Integrate Across the Stack: Work across frontend, backend, and AI orchestration layers, including wallet APIs, streaming chat experiences, UI components, data services, and ML/LLM workflows.
- Turn Data Into Personalization: Help transform loyalty balances, tier progress, membership data, connected email signals, and trip context into useful recommendations and next-best actions.
- Collaborate Cross-Functionally: Partner closely with product, design, backend, data, and platform teams to ship polished, measurable customer experiences.
- Raise the Engineering Bar: Champion maintainable code, thoughtful abstractions, strong tests, observability, documentation, and operational ownership.
BASIC QUALIFICATIONS
- 6+ years of software engineering experience building production systems, with meaningful hands-on experience in AI, LLM, agent, workflow, or ML-powered products.
- Experience building agentic systems, tool-calling workflows, RAG-like systems, structured LLM outputs, eval pipelines, or AI assistants in production.
- Strong engineering fundamentals in TypeScript/Node.js, Java, Python, or similar backend/product engineering stacks.
- Experience with distributed systems, APIs, async workflows, caching, observability, and production debugging.
- Comfort working with AI safety patterns such as guardrails, HITL confirmation, deterministic tool boundaries, hallucination prevention, and PII-sensitive workflows.
- Product mindset and ability to translate ambiguous user needs into robust, user-facing experiences.
- Strong ownership mentality, with the ability to ship, measure, iterate, and support features after release.
- Experience with travel, loyalty programs, personalization, fintech, or consumer data products is a strong plus.
- Bachelor's or Master's degree in Computer Science, Engineering, or related field, or equivalent hands-on experience.
INTRODUCTION
Navan is building the next generation of intelligent travel experiences, where loyalty, personalization, and AI agents help travelers make better decisions before, during, and after every trip. As a Senior Software Engineer, AI on the Loyalty Wallet team, you'll build agentic product experiences that understand a traveler's loyalty programs, surface useful insights, and safely help users manage their memberships through Navan Edge.
ROLE AND RESPONSIBILITIES
- Build AI-Powered Product Experiences: Design and develop agentic workflows that help users view, understand, connect, and manage their loyalty programs through chat, wallet surfaces, and personalized recommendations.
- Develop Production AI Systems: Build reliable LLM-powered flows with structured outputs, tool calling, guardrails, human confirmation, evals, and monitoring for real customer-facing use cases.
- Own Agent and Workflow Quality: Create and maintain scenario tests, adversarial evals, prompt/tool contracts, and quality metrics that ensure agents behave safely around loyalty data, PII, financial guidance, and unsupported requests.
- Integrate Across the Stack: Work across frontend, backend, and AI orchestration layers, including wallet APIs, streaming chat experiences, UI components, data services, and ML/LLM workflows.
- Turn Data Into Personalization: Help transform loyalty balances, tier progress, membership data, connected email signals, and trip context into useful recommendations and next-best actions.
- Collaborate Cross-Functionally: Partner closely with product, design, backend, data, and platform teams to ship polished, measurable customer experiences.
- Raise the Engineering Bar: Champion maintainable code, thoughtful abstractions, strong tests, observability, documentation, and operational ownership.
BASIC QUALIFICATIONS
- 6+ years of software engineering experience building production systems, with meaningful hands-on experience in AI, LLM, agent, workflow, or ML-powered products.
- Experience building agentic systems, tool-calling workflows, RAG-like systems, structured LLM outputs, eval pipelines, or AI assistants in production.
- Strong engineering fundamentals in TypeScript/Node.js, Java, Python, or similar backend/product engineering stacks.
- Experience with distributed systems, APIs, async workflows, caching, observability, and production debugging.
- Comfort working with AI safety patterns such as guardrails, HITL confirmation, deterministic tool boundaries, hallucination prevention, and PII-sensitive workflows.
- Product mindset and ability to translate ambiguous user needs into robust, user-facing experiences.
- Strong ownership mentality, with the ability to ship, measure, iterate, and support features after release.
- Experience with travel, loyalty programs, personalization, fintech, or consumer data products is a strong plus.
- Bachelor's or Master's degree in Computer Science, Engineering, or related field, or equivalent hands-on experience.
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Find JobsSenior AI Software Engineer Job Market in New York
Who's Hiring
- Spotify15
- Google12
- Databricks9
- Anthropic7
- Spotify Usa7
Top Industries Hiring
- Technology & Software84
- Music22
- Artificial Intelligence16
- Investment & Asset Management15
- Consulting & Professional Services9
Senior AI Software Engineer Jobs in New York: Frequently Asked Questions
How do I get a senior ai software engineer job in New York?
New York hires senior ai software engineers most heavily in financial services, advertising technology, and enterprise software, with the densest job clusters in Midtown, the Flatiron District, and Lower Manhattan. Candidates who stand out locally combine strong LLM or MLOps experience with exposure to high-stakes production systems. Demonstrating work on real-time inference pipelines or risk-sensitive AI applications gives you a clear edge with New York's finance and media employers.
Which companies hire senior ai software engineers in New York?
Employers hiring senior ai software engineers in New York right now include Spotify, Google, and Databricks, based on current listings on Migrate Mate as of June 2026. New York's hiring pool is especially broad across large financial institutions, global media companies, and fast-growing enterprise SaaS firms headquartered in or maintaining major engineering offices in the city.
Are there remote senior ai software engineer jobs in New York?
Yes, though senior ai software engineer roles vary, with model research and applied ML work being more remote-friendly than roles tied to on-site infrastructure or trading systems. About 49% of senior ai software engineer openings tied to New York are remote or hybrid as of June 2026, reflecting strong employer flexibility in this discipline. Roles focused on NLP, computer vision, and generative AI tend to offer the most location flexibility among New York postings.
How can I get a senior ai software engineer job in New York with little or no experience?
The most realistic entry path in New York is through machine learning engineering or data science roles at mid-size fintech or adtech firms, which regularly promote from within as AI teams expand. New York-based startups in the Flatiron and Hudson Yards tech corridors often hire junior AI engineers and move strong performers into senior scopes within two years. Building a public project portfolio and contributing to open-source ML tooling gets noticed by New York hiring managers who review GitHub before scheduling interviews.
Which industries hire the most senior ai software engineers in New York?
Most senior ai software engineer openings in New York sit in Technology & Software, Music, and Artificial Intelligence, per current listings on Migrate Mate as of June 2026. New York's concentration of global banks, major media groups, and enterprise cloud vendors creates sustained demand for senior AI talent well beyond what most other U.S. cities generate outside of the Bay Area.
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