Genai Engineer Jobs in New York
Genai Engineer jobs in New York place the state among the most active markets for this role nationally, with demand concentrated in financial services, media and entertainment, healthcare technology, and enterprise software across seniority levels from entry-level to principal engineer. The heaviest hiring is in New York City, with additional activity in Albany and Buffalo as state government and regional tech sectors expand AI initiatives. Anchor employers with consistent genai engineering needs include JPMorgan Chase, IBM, and Microsoft, with specializations in large language model development, retrieval-augmented generation, and AI application integration drawing the most interest. Find a role that fits below and apply directly.
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Showing 5 of 17+ Genai Engineer jobs
Minimum qualifications:
- Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- 5 years of experience with software development using Python or similar coding languages.
- Experience architecting AI systems on cloud platforms (e.g., Google Cloud Platform (GCP)).
- Experience taking production-grade AI-driven solutions from conception to launch for customers.
- Experience guiding technical discovery sessions with customers.
- Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.
Preferred qualifications:
- Master’s degree or PhD in AI, Computer Science, or a related technical field.
- Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).
- Knowledge of Large Language Model (LLM) native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
About the job
As a Generative AI Forward Deployed Engineer (FDE) at Google Cloud, you will be an embedded innovator-builder moving beyond high-level architecture to code, debug, and jointly ship bespoke, scalable agentic solutions directly with strategic partners inside customer environments. In this role, you will bridge the gap between frontier AI prototypes and production-grade reality, resolving integration complexities, data readiness challenges, and state-management bottlenecks that prevent systems from reaching enterprise maturity. You will also provide white-glove deployments and establish a critical feedback loop to Google, transforming field insights into future product roadmap enhancements alongside partner engineering teams.It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Serve as a tech lead and developer with AI partners for complex AI applications, working with partner teams to transition from rapid prototypes to production-grade, replicable agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable Return on Investment (ROI).
- Build high-performance evaluation pipelines and observability frameworks to ensure partner developed agentic systems meet requirements for accuracy, safety, and latency.
- Identify repeatable partner and field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.
- Co-build with a AI partner’s forward deployed engineering team to instill Google-grade development best practices.
- Help partners to build their own agentic delivery capabilities to set them up for long term success, focusing on the ROI at customer engagements ensuring customer activation.
Minimum qualifications:
- Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- 5 years of experience with software development using Python or similar coding languages.
- Experience architecting AI systems on cloud platforms (e.g., Google Cloud Platform (GCP)).
- Experience taking production-grade AI-driven solutions from conception to launch for customers.
- Experience guiding technical discovery sessions with customers.
- Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.
Preferred qualifications:
- Master’s degree or PhD in AI, Computer Science, or a related technical field.
- Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).
- Knowledge of Large Language Model (LLM) native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
About the job
As a Generative AI Forward Deployed Engineer (FDE) at Google Cloud, you will be an embedded innovator-builder moving beyond high-level architecture to code, debug, and jointly ship bespoke, scalable agentic solutions directly with strategic partners inside customer environments. In this role, you will bridge the gap between frontier AI prototypes and production-grade reality, resolving integration complexities, data readiness challenges, and state-management bottlenecks that prevent systems from reaching enterprise maturity. You will also provide white-glove deployments and establish a critical feedback loop to Google, transforming field insights into future product roadmap enhancements alongside partner engineering teams.It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Serve as a tech lead and developer with AI partners for complex AI applications, working with partner teams to transition from rapid prototypes to production-grade, replicable agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable Return on Investment (ROI).
- Build high-performance evaluation pipelines and observability frameworks to ensure partner developed agentic systems meet requirements for accuracy, safety, and latency.
- Identify repeatable partner and field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.
- Co-build with a AI partner’s forward deployed engineering team to instill Google-grade development best practices.
- Help partners to build their own agentic delivery capabilities to set them up for long term success, focusing on the ROI at customer engagements ensuring customer activation.
See All 17 Genai Engineer Jobs in New York
Find roles in New York that match your experience and apply in just a few clicks.
Find Genai Engineer JobsGenai Engineer Jobs by City in New York
Where New York roles are concentrated, by current openings.
Genai Engineer Job Market in New York
A snapshot from current New York openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
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What New York Employers Look For
The qualifications that appear most often in genai engineer jobs across New York.
- Proficiency in Python and experience with large language model frameworks such as LangChain or LlamaIndex
- Hands-on experience building or fine-tuning generative AI models using OpenAI, Anthropic, or open-source alternatives
- Strong understanding of retrieval-augmented generation architecture and vector database integration
- Bachelor's or master's degree in computer science, machine learning, or a closely related field
- Experience deploying AI applications to cloud platforms such as AWS, Azure, or Google Cloud
- Demonstrated ability to evaluate model outputs for accuracy, bias, and safety in production environments
Genai Engineer Jobs in New York: Frequently Asked Questions
How do you become a genai engineer in New York?
Most genai engineers hired in New York hold at least a bachelor's degree in computer science, artificial intelligence, or a related technical field, with a master's degree increasingly preferred at competitive employers. There is no state-issued license required for this role in New York. Employers in the city's financial and media sectors typically prioritize candidates with a portfolio of deployed AI projects, documented experience with production-grade LLM systems, and familiarity with cloud infrastructure alongside foundational machine learning skills.
Which companies hire genai engineers in New York?
Employers hiring genai engineers in New York right now include Google, Capital One, and Datadog, based on current listings on Migrate Mate as of September 2026. New York's concentration of financial institutions, media companies, and enterprise technology firms means demand for this role is unusually broad across industries rather than limited to dedicated AI startups.
Which New York cities have the most genai engineer jobs?
New York account for the most genai engineer openings in New York. New York City dominates because of its density of financial services firms, global media companies, and enterprise technology offices, while Albany attracts openings tied to state government AI modernization efforts and Buffalo's growing tech sector is drawing regional employers investing in applied AI capabilities.
Are there remote genai engineer jobs in New York?
Yes, and more than most technical fields. About 50% of genai engineer openings tied to New York are remote or hybrid as of September 2026, reflecting the nature of a role built around software development and model experimentation rather than on-site infrastructure. The work that most consistently stays remote involves prompt engineering, model evaluation, and API integration, while roles requiring collaboration with proprietary data systems often require at least partial in-office presence.
How can I get hired as a genai engineer in New York with little or no experience?
The most realistic entry path is building a public portfolio of generative AI projects, such as a retrieval-augmented generation application or a fine-tuned open-source model, before applying to associate or junior AI engineer roles at mid-size New York technology firms. Large employers including IBM and JPMorgan Chase run new graduate programs in their New York offices that accept candidates with strong project work in lieu of commercial experience. Moving laterally from a data analyst, backend developer, or machine learning research assistant role is also common, particularly at financial services firms and media companies headquartered in the city.
Where can I find and apply to genai engineer jobs in New York?
You can find and apply to genai engineer jobs in New York on Migrate Mate, which lists current openings across the state. Search the available roles, find the ones that fit your experience and target location, and apply directly to each position that matches.
See All 17 Genai Engineer Jobs in New York
Find roles in New York that match your experience and apply in just a few clicks.
Find Genai Engineer Jobs