AI Engineering Jobs in New York

Capital One is building trustworthy and reliable AI systems to transform banking. We leverage machine learning for real-time, intelligent customer experiences and are committed to world-class applied science and engineering. The AI Foundations team is central to this vision, working across the research lifecycle from academia to production systems. You will partner with cross-functional teams to deliver AI-powered products, using technologies like Pytorch, AWS Ultraclusters, Huggingface, and Lightning to analyze vast amounts of data. This role involves building AI foundation models through all development phases, from design to implementation, and engaging in high-impact applied research to drive next-generation customer experiences.

$263k - $300k

As a Senior Lead Software Engineer on the Firmwide AI/ML Deployment Platform team, you will be a key part of a globally distributed team responsible for architecting, building, and owning the infrastructure that enables model deployment at scale. You will have significant autonomy, driving technical direction, engaging directly with clients, and making critical architectural decisions. The team builds the control plane, APIs, monitoring, and deployment infrastructure that internal teams rely on, constantly evolving to meet new scale requirements and challenges. This role is ideal for someone who enjoys owning problems end-to-end, making difficult tradeoffs, and shipping systems that empower other engineers.

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WRITER is seeking a highly skilled fullstack software engineer to join their engineering team building advanced AI-driven agent systems. These systems will execute autonomous workflows, orchestrate multi-step tasks, and extend human capacity across enterprise applications. The role involves designing, building, and scaling next-generation AI agents that integrate with enterprise data and services to solve real-world problems. Collaboration with cross-functional teams to translate complex agent concepts into production-ready systems is a key aspect of this position. WRITER is a rapidly growing company in the enterprise generative AI space, backed by significant investors and used by major enterprises.

$132k - $240k

Anthropic

Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. The Vision team is seeking a research engineer to focus on visual and spatial reasoning as core capabilities for LLMs. This role involves owning the end-to-end process of creating training data and RL environments for visual knowledge work. You will identify tasks, build evaluations, design rewards, and scale data, combining applied research with hands-on data work. Collaboration with external vendors, pretraining, RL, and product teams is essential to ensure the environments built translate into real-world knowledge work capabilities.

$350k - $850k

WorldQuant is seeking an exceptional senior-level Python engineer to join a small team focused on complex data pipelines, AI/ML systems, and cutting-edge software solutions. This role involves managing technical objectives, providing technical leadership, and maintaining a hands-on development approach. The ideal candidate will collaborate across teams within the business-facing technology organization. The position requires deep expertise in Python development, data engineering, software architecture, and design principles, with the ability to mentor junior team members, conduct code reviews, and drive architectural decisions. Experience with AI and large language models (LLMs) is highly desirable.

$175k - $250k

At WRITER, our mission to expand human capacity with superintelligence relies on a foundational truth: our platform must be available, performant, and reliable, 24/7. As an Infrastructure engineer, you'll be at the heart of making this a reality, impacting every enterprise customer who trusts us with their AI-powered workflows. This isn't just about keeping the lights on; it's about pushing the boundaries of what's possible, proactively identifying and solving complex systemic challenges, and laying the groundwork for our rapid growth and the evolving demands of enterprise generative AI. You'll build resilient systems, automate across the stack, and champion reliability best practices, directly enabling our ambitious product roadmap and ensuring our customers always have access to the powerful tools they need.

$155k - $240k

Join a team applying modern artificial intelligence and machine learning to high-impact, high-scale payments workflows. You will work with large datasets and complex operational processes to deliver measurable outcomes, building production-grade solutions spanning natural language processing, document understanding, and LLM-enabled applications. You will collaborate closely with business and technology partners to take ideas from concept to deployment, helping to raise engineering standards and mentor others while shipping real solutions. As an Applied AI/ML Lead, you will build and deliver enterprise AI/ML solutions that improve operational efficiency and decisioning, partnering with senior stakeholders to frame problems, define success metrics, and plan roadmaps. You will design, implement, and deploy production services on Amazon Web Services (AWS) with strong engineering rigor, establishing model governance, monitoring, and responsible AI practices.

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WRITER is seeking a Deployment Engineer to join their team and help enterprises orchestrate AI-powered work. In this role, you will partner directly with leading enterprise customers to understand their unique business challenges and architect AI-powered solutions using WRITER's platform and enterprise-grade LLMs. You will transform complex needs into tangible, high-impact applications, driving business results and shaping the future of work. This is a critical role that directly impacts customer success and product evolution, contributing significantly to WRITER's mission of expanding human capacity through superintelligence.

$146k - $204k

This role focuses on shaping an AI-first Developer Portal, serving as a modern interface for clients and systems to discover capabilities, onboard, troubleshoot, and integrate through agent-ready workflows and high-quality external APIs. As a Senior Vice President of Software Engineering, you will lead teams and remain hands-on in building secure, stable, and scalable platform capabilities that modernize the developer experience for the agentic era. You will own the technical direction and execution for an AI-native portal experience where core capabilities are designed for consumption by agents and automation, workflows are exposed as reusable actions/tools with strong controls, and external API experiences are productized for discoverability and integration at scale.

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This role is for a Lead Software Engineer focused on building an AI Agent Platform. You will lead the engineering efforts for a high-visibility platform that includes an SDK, orchestration frameworks, and reusable components to power agentic AI experiences across the organization. Your responsibilities will include owning the foundational tooling for composing agents, grounding them in enterprise data, providing durable memory, and improving accuracy on complex capabilities like NL2SQL and RAG. You will also be responsible for raising delivery standards, turning complex problems into reliable production systems, and setting the quality bar for infrastructure used by many teams and users. The team values strong engineering, thoughtful collaboration, and continuous learning.

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Join a team applying modern artificial intelligence and machine learning to high-impact, high-scale payments workflows. You will work with large datasets and complex operational processes to deliver measurable outcomes, building production-grade solutions spanning natural language processing, document understanding, and LLM-enabled applications. You will collaborate closely with business and technology partners to take ideas from concept to deployment, while also raising engineering standards and mentoring others. As a Vice President in the Wholesale Payments Operations team, you will build and deliver enterprise AI/ML solutions that improve operational efficiency and decisioning, partnering with senior stakeholders to frame problems, define success metrics, and plan roadmaps. You will design, implement, and deploy production services on Amazon Web Services (AWS) with strong engineering rigor, establishing model governance, monitoring, and responsible AI practices. The role focuses on building scalable AI/ML capabilities for operations use cases, including document processing and workflow automation, contributing to reusable platforms and patterns.

Salary not listed

Databricks

Databricks is seeking a Staff Software Engineer, Fullstack to join a new, nimble team in their NYC office. This role will be instrumental in building new AI products from the ground up, leveraging Databricks' data and AI infrastructure to create vertical AI applications for both technical and business users. This is a unique opportunity to experience a 0-to-1 environment, combining startup excitement with the resources of a leading tech company.

$191k - $254k

At Capital One, we are building responsible and reliable AI systems to transform banking. We are an industry leader in using machine learning for personalized customer experiences and are at the forefront of enterprise AI adoption. Our AI applications bring humanity and simplicity to banking, from fraud detection to real-time customer support. We are committed to advancing applied science and engineering to deliver breakthrough products and scalable AI infrastructure, reimagining how we serve customers and businesses with emerging AI capabilities.

$230k - $262k

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. Those in data science and machine learning engineering will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualizations to solve complex business problems. As part of the Data and Analytics Engineering team, you will develop and implement AI solutions that enhance product offerings. As a Senior Associate, you will analyze complex problems, mentor junior team members, and maintain elevated professional standards while building meaningful client relationships.

$55k - $151k

Join JPMorganChase's Machine Learning Center of Excellence as a Lead Software Engineer, contributing to the Artificial Intelligence and Machine Learning Data Platforms team. You will be a key member of an agile team, responsible for designing and delivering market-leading technology products securely, stably, and at scale. This role involves implementing critical technology solutions across various technical areas to support business objectives, collaborating with experts in machine learning, deep learning, and reinforcement learning.

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Databricks

Databricks is seeking a Staff Software Engineer to join their AI Research Infrastructure team. In this role, you will be responsible for developing and operating the research stack that powers Databricks' AI research efforts. You will design and build services for scheduling, orchestrating, and observing large-scale training and inference experiment workloads across thousands of GPUs. Your work will involve improving developer tooling to ensure researchers can iterate quickly while maintaining reliability, efficiency, and security. You will collaborate closely with research scientists, ML engineers, and platform teams to transform experimental workloads into robust, repeatable pipelines and push the boundaries of the infrastructure's capabilities.

$199k - $270k

Capital One is building responsible and reliable AI systems to transform banking. Leveraging extensive experience in machine learning and technology infrastructure, the company aims to be at the forefront of enterprise AI adoption. This role is part of the Intelligent Foundations and Experiences (IFX) team, which is central to bringing the company's AI vision to life. The team partners across the company to advance AI science and engineering, building and deploying proprietary solutions that deliver value to millions of customers and empower other teams with AI capabilities in a responsible and scalable manner.

$197k - $225k

Databricks

Databricks is seeking an engineer to help lead the development of the data and agent layer for enterprise digital advertising. This role involves building solutions to address the significant data and intelligence gaps in advertising campaign performance, which currently relies on slow, manual, and often inaccurate processes. You will be instrumental in creating systems that ingest, normalize, aggregate, and analyze advertising data at scale, enabling better decision-making and optimization for enterprises spending billions on digital ads.

$191k - $254k

Join a fast-moving technology team building a business observability platform for the Payments business. This platform serves as an analytics foundation enabling AI-assisted decision-making for senior leaders and real-time monitoring and alerting for operations teams. The role will contribute to delivering intraday transaction insights, anomaly detection, forecasting, and conversational analytics, all supported by a governed metrics foundation. As a Data Scientist Senior Associate, you will be responsible for the analytical integrity of the team's deliverables, validating data behind key metrics, defining model correctness, and ensuring the trustworthiness of anomaly detection and forecasting outputs in production. You will collaborate closely with product, engineering, and design teams to influence the product roadmap and effectively communicate value to stakeholders.

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Capital One is seeking an Applied Researcher to join the AI Foundations team, focusing on LLM, Optimization, and Finetuning. This role involves partnering with cross-functional teams to deliver AI-powered products that enhance customer interactions with their money. You will leverage a broad stack of technologies, including Pytorch, AWS Ultraclusters, Huggingface, and Lightning, to analyze vast amounts of data and build AI foundation models through all phases of development. The position offers the opportunity to engage in high-impact applied research, pushing the boundaries of AI for next-generation customer experiences and translating complex work into tangible business goals. Collaboration with senior researchers for tech reports and conference submissions is also a key aspect of the role.

$219k - $250k

Databricks

At Databricks, we are passionate about enabling data and AI teams to solve the world's toughest problems. We build and run the world's best data and AI infrastructure platform. As part of the AI Platform team, you'll build the substrate that powers everything from data apps, AI agents, model training, model serving, and vector search. You'll be joining a high-agency, high-visibility team operating at the frontier of AI infrastructure with deep ties to research, product, and real-world enterprise use cases. Databricks Mosaic AI is one of our fastest-growing businesses helping thousands of our customers democratize AI within their organizations. We’re building the infrastructure that powers the next generation of AI.

$165k - $220k

Capital One is seeking passionate Machine Learning Engineers to join their Enterprise Platforms Technology team. This role involves leveraging cutting-edge open-source frameworks, advanced algorithms, and emerging technologies to drive AI transformations and scale production models. You will collaborate with Product and Data Science teams to design, build, and deliver ML models that solve real-world business problems. The position requires a strong understanding of ML infrastructure, modeling techniques, and the ability to write and test application code, automate deployments, and ensure responsible AI practices.

$197k - $225k

Databricks

Databricks is seeking an Engineering Manager to lead the team building Profile Agents for their CustomerLake platform. This is a critical role in shaping the product, architecture, and engineering foundation of Databricks' new Agentic CDP, which aims to revolutionize customer data management. The product is in its early stages, offering significant opportunities to influence its vision and direction. You will be instrumental in delivering high-quality Customer 360 outputs, hiring and growing a senior team, and establishing the quality bar for agent-generated pipelines. This role offers substantial growth potential within a rapidly expanding company.

$190k - $261k

Retool

Retool is building the future of internal software development, making it safe and efficient to ship custom applications powered by AI. As AI capabilities expand, the challenge shifts from accessing models to ensuring the reliability, evaluability, and trustworthiness of these non-deterministic systems in production. We are seeking AI Engineers to own this critical problem end-to-end. This role is for individuals who are passionate about managing probabilistic systems, measuring quality amidst variance, and driving continuous improvement without introducing regressions.

$164k - $306k