Senior AI Software Engineer Jobs in New York
Senior AI Software Engineer jobs in New York are among the most competitive and active in the country, concentrated in finance and fintech, media technology, healthcare informatics, and enterprise software, with openings at every level from mid-level AI engineer through principal and staff roles. Most hiring is in New York City, with additional clusters in Buffalo and Albany, where established employers like JPMorgan Chase, IBM, and Google maintain significant engineering operations. The most in-demand specialties are large language model development, MLOps and model deployment, and applied machine learning for financial systems. Find a role that fits below and apply directly.
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Showing 5 of 109+ Senior AI Software Engineer jobs
What We Do
At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Goldman Sachs Engineers are innovators and problem-solvers, building solutions in Artificial Intelligence, risk management, big data, mobile and more.
Your Impact
We are seeking entrepreneurial Agentic Software Engineers to join a newly formed AI Agentic Systems team. This team is tasked with solving firmwide, large-scale application and infrastructure challenges by building and deploying swarms of agents. You will build systems that understand, plan, transform, and validate application modernization workflows across one of the largest and most complex technology estates in the industry.
As a founding member of this team, you will help incubate a new paradigm of software engineering—moving beyond static automation to dynamic, goal-oriented agentic systems that operate across all the firm’s business units.
Key Responsibilities:
- Agentic Orchestration: Design and deploy multi-agent systems (swarms) capable of autonomous planning, reasoning, and execution across distributed cloud environments.
- Learning and Feedback: Build human-in-the-loop systems, evaluation frameworks, and observability mechanisms that enable continuous agent improvement.
- Tool Integration: Design and build integrations with APIs, developer tooling, CI/CD pipelines, data platforms, or operational systems.
- Cross-Functional Collaboration: Partner with diverse business units to identify high-impact use cases for agents, translating ambiguous business needs into technical agentic workflows.
Basic Qualifications:
- Software Engineering Excellence: Strong proficiency in Python, Go, Java, Javascript or similar languages with a deep understanding of distributed systems and cloud-native architecture (AWS, Azure, or internal private clouds).
- Agentic Experience: Direct experience deploying and operating LLM-based agents in production environments. Familiarity with frameworks such as LangGraph, AutoGPT, or custom-built orchestration layers.
- AI Evals: Experience designing benchmarks, evaluations, and quality metrics for AI systems.
- Problem-Solving Domains: Proven track record of applying agentic patterns to at least two of the following:
- Data Analysis: Autonomous synthesis of large-scale datasets.
- Observability: Self-healing infrastructure and automated root-cause analysis.
- Optimization: Dynamic resource allocation and cost management.
- Planning: Multi-step task decomposition and execution in non-deterministic environments.
- Entrepreneurial Mindset: Ability to thrive in a 0-to-1 environment, comfortable with ambiguity, and driven to build systems that have never existed before.
Preferred Qualifications:
- Demonstrated interest in emerging agentic technologies such as Multi-Agent Reinforcement Learning (MARL), and swarm intelligence, with a willingness to experiment, learn, and apply new approaches where they create practical business value.
- Familiarity with Model Context Protocol (MCP), A2A and other emerging standards for agent-to-tool communication.
- Strong communication skills to bridge the gap between technical agentic logic and human-centric business processes.
About Goldman Sachs
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.
We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has several opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. about our culture, benefits, and people at GS.com/careers.
We’re committed to finding reasonable accommodation for candidates with special needs or disabilities during our recruiting process. : https://www.goldmansachs.com/careers/footer/disability-statement.html
What We Do
At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Goldman Sachs Engineers are innovators and problem-solvers, building solutions in Artificial Intelligence, risk management, big data, mobile and more.
Your Impact
We are seeking entrepreneurial Agentic Software Engineers to join a newly formed AI Agentic Systems team. This team is tasked with solving firmwide, large-scale application and infrastructure challenges by building and deploying swarms of agents. You will build systems that understand, plan, transform, and validate application modernization workflows across one of the largest and most complex technology estates in the industry.
As a founding member of this team, you will help incubate a new paradigm of software engineering—moving beyond static automation to dynamic, goal-oriented agentic systems that operate across all the firm’s business units.
Key Responsibilities:
- Agentic Orchestration: Design and deploy multi-agent systems (swarms) capable of autonomous planning, reasoning, and execution across distributed cloud environments.
- Learning and Feedback: Build human-in-the-loop systems, evaluation frameworks, and observability mechanisms that enable continuous agent improvement.
- Tool Integration: Design and build integrations with APIs, developer tooling, CI/CD pipelines, data platforms, or operational systems.
- Cross-Functional Collaboration: Partner with diverse business units to identify high-impact use cases for agents, translating ambiguous business needs into technical agentic workflows.
Basic Qualifications:
- Software Engineering Excellence: Strong proficiency in Python, Go, Java, Javascript or similar languages with a deep understanding of distributed systems and cloud-native architecture (AWS, Azure, or internal private clouds).
- Agentic Experience: Direct experience deploying and operating LLM-based agents in production environments. Familiarity with frameworks such as LangGraph, AutoGPT, or custom-built orchestration layers.
- AI Evals: Experience designing benchmarks, evaluations, and quality metrics for AI systems.
- Problem-Solving Domains: Proven track record of applying agentic patterns to at least two of the following:
- Data Analysis: Autonomous synthesis of large-scale datasets.
- Observability: Self-healing infrastructure and automated root-cause analysis.
- Optimization: Dynamic resource allocation and cost management.
- Planning: Multi-step task decomposition and execution in non-deterministic environments.
- Entrepreneurial Mindset: Ability to thrive in a 0-to-1 environment, comfortable with ambiguity, and driven to build systems that have never existed before.
Preferred Qualifications:
- Demonstrated interest in emerging agentic technologies such as Multi-Agent Reinforcement Learning (MARL), and swarm intelligence, with a willingness to experiment, learn, and apply new approaches where they create practical business value.
- Familiarity with Model Context Protocol (MCP), A2A and other emerging standards for agent-to-tool communication.
- Strong communication skills to bridge the gap between technical agentic logic and human-centric business processes.
About Goldman Sachs
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.
We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has several opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. about our culture, benefits, and people at GS.com/careers.
We’re committed to finding reasonable accommodation for candidates with special needs or disabilities during our recruiting process. : https://www.goldmansachs.com/careers/footer/disability-statement.html
See All 109+ Senior AI Software Engineer Jobs in New York
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Find JobsSenior AI Software Engineer Jobs by City in New York
Where New York roles are concentrated, by current openings.
Senior AI Software Engineer Job Market in New York
A snapshot from current New York openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software16
- Investment & Asset Management3
- Science & Research2
- Consulting & Professional Services2
- Music1
What New York Employers Look For
The qualifications that appear most often in senior AI software engineer jobs across New York.
- Bachelor's or master's degree in computer science, machine learning, or a closely related field
- Hands-on experience building and deploying large-scale machine learning or deep learning models
- Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX
- Experience with MLOps tooling, model monitoring, and cloud platforms including AWS, GCP, or Azure
- Demonstrated ability to lead cross-functional AI projects and mentor junior engineers
- Familiarity with LLM fine-tuning, prompt engineering, or retrieval-augmented generation techniques
Senior AI Software Engineer Jobs in New York: Frequently Asked Questions
How do you become a senior ai software engineer in New York?
Becoming a senior ai software engineer in New York typically requires a bachelor's or master's degree in computer science, data science, or a related field, followed by several years building and shipping AI systems in production environments. New York does not require a state-issued license for this role. Most candidates advance by developing a strong portfolio of deployed models, contributing to open-source AI projects, and earning cloud certifications recognized by major New York employers in finance, media, and healthcare technology.
How much do senior AI software engineers make in New York?
Senior AI software 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 senior ai software engineers in New York?
Employers hiring senior ai software engineers in New York right now include Databricks, Google, and JPMorganChase, based on current listings on Migrate Mate as of September 2026. New York City's dense concentration of financial institutions, media companies, and enterprise technology firms means senior AI roles appear across a wide range of industries beyond pure tech.
Which New York cities have the most senior ai software engineer jobs?
The cities with the most senior ai software engineer openings in New York are New York, New York City, and New York. New York City dominates because of its concentration of major financial institutions, advertising technology firms, and global enterprise headquarters, while Buffalo and Albany attract openings tied to university research partnerships and state government technology initiatives.
Are there remote senior ai software engineer jobs in New York?
Yes, and more than most fields. About 69% of senior ai software engineer openings tied to New York are remote or hybrid as of September 2026, reflecting how thoroughly this role can be performed off-site. Model development, code review, and research tasks are the most commonly remote, while roles requiring access to proprietary on-premises data infrastructure at financial or healthcare employers tend to require at least some in-office presence.
How can I get hired as a senior ai software engineer in New York with little or no experience?
The most realistic entry path is through a machine learning engineer or data scientist associate role at a large New York employer, using that position to build production AI experience before moving into a senior title. Companies like IBM and JPMorgan Chase run structured new-graduate and rotational technology programs in New York that place candidates without senior-level experience into AI-adjacent teams. Building a public portfolio of end-to-end ML projects and earning a cloud ML certification gives candidates a concrete edge when applying to these programs.
Where can I find and apply to senior ai software engineer jobs in New York?
You can find and apply to senior ai software 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 background and the type of work you want to do, and apply directly to the employers posting them.
See All 109+ Senior AI Software Engineer Jobs in New York
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