Jobs in United States

Senior Applied Ai Engineer in New York

211 active opportunities · Updated October 2026

Explore current senior applied ai engineer jobs in New York. Filter by work mode, employment type, experience, department, date posted and distance.

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📍 New York, NY, United States
✓ Quality checkedCompany trend +310%

Become a part of our caring community Most AI engineering jobs are a thin wrapper around a model API. This role is different. We build the platform that transforms millions of clinical documents into trusted, actionable data. Our systems use large language models (LLMs) to read medical records, extract structured facts, answer complex questions with citations back to the source document, and route ambiguous cases to human experts for review. Our users make decisions that impact real healthcare outcomes, so “good enough” is not good enough. Building AI systems that are accurate, reliable, auditable, and scalable is at the core of this role. As a Senior AI Applied Engineer, you will design, build, deploy, and operate production AI systems used at scale within one of the largest health insurers in the United States. You will own solutions end-to-end, from user experience and APIs to model orchestration, evaluation frameworks, infrastructure, and production operations. Why Join Us Build production AI systems where LLMs are in the critical path, not just demos or proofs of concept. Work on extraction, retrieval, agentic workflows, and human-review systems that process real healthcare data at scale. Own projects end-to-end across frontend, backend, AI orchestration, infrastructure, deployment, and operations. Solve challenging problems around accuracy, explainability, traceability, and reliability in regulated environments. Ship quickly in a small, high-impact team that embraces AI-assisted development and rigorous quality standards. Build systems that continuously improve through expert feedback, evaluations, and human-in-the-loop workflows. Key Responsibilities Design, develop, and deploy full-stack AI-powered application

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📍 New York, New York, United States· Full-time
✓ Quality checkedCompany trend -82%

About the team The Applied AI Engineer, Digital Natives team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of frontier AI use cases for their industry and drive them to production through strong technical guidance. As an Applied AI Engineer in the Digital Native segment, you’ll help large and highly sophisticated companies transform their business through custom AI solutions applications such as customer service, automated content generation, contextual search, personalization, and other novel use cases leveraging OpenAI’s newest, most exciting models and latest capabilities. About the role We are looking for a driven solutions leader with a product mindset to partner with our customers and ensure they achieve tangible business value with frontier AI. You will pair with senior customer leaders to establish AI strategic roadmaps and identify the highest value applications. You’ll then partner with their engineering and product teams to move from prototype through production. You’ll take a holistic view of their needs and design an enterprise architecture using OpenAI APIs and other services to maximize customer value. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product. This role is based in our NYC office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Deeply embedded with our most sophisticated and technical platform customers, serving as their technical thought partner in ideating and building novel applications on our APIs. Proactively provide guidance to our customers on how to maximize business impact from their applications, accelerating their time to value. Experiment and prototype solutions with and for your customers. Forge and manage relationships wi

JavaScriptPythonJavaAWS
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📍 New York, New York, United States· Full-time
✓ High-confidence listingCompany trend -85.2%

From $220K/yr

Quick readStrong listing-quality and freshness signals

The Applied AI team designs and builds algorithmically driven features in the Datadog app. We work across a range of applications, primarily focusing on analysis on streaming data such as anomaly detection, error outliers and faulty deployment analysis. As an Applied Scientist you will work on building models and algorithms for machine learning powered features within the Datadog platform. You will work closely with our engineering and product partners to explore, build, scale and deliver these features that we incubate within the Applied AI team. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Design solutions for our different use cases. You will research and benchmark relevant algorithms to find the best fit for our use-cases Leverage machine learning algorithms and statistical techniques to build new scalable product features Develop, deploy and monitor new and existing features to production Participate in our journal club by reading and presenting the latest academic research papers to the team Explore, analyze and tell the story behind high volumes of data flowing through Datadog systems Maintain and monitor the models, services and infrastructure owned by your team Participate in your team’s on-call rotation Who You Are: You have a BS/MS/PhD in a Computer Science, Engineering, Machine Learning or related scientific field or equivalent experience You have experience working with high-scale systems and datasets including building models, applying machine learning to real business problems, and writing production data pipelines You can explain complex ideas and algorithms to non-technical audiences You care about code simplicity and performa

Machine LearningAIGoRust
O
📍 New York, New York, United States· Full-time
✓ Quality checkedCompany trend -82%

About the Team The AI Architect team partners with organizations to turn OpenAI's most capable models into meaningful, real-world impact. We work with customers across industries and digital-native businesses to identify where AI can create value, design secure and scalable solutions, and help those solutions move from early exploration into sustained production adoption. The team brings together technical strategy, customer partnership, and practical deployment expertise, working closely with Sales, Product, Engineering, Research, and specialist delivery teams. About the Role As an AI Architect, you will be the senior technical owner for a named portfolio of customers and the primary technical counterpart to their leadership teams. You will act as the “CTO of your book of business”, shaping each customer's AI strategy and guiding their journey from pre-sales discovery and solution evaluation through deployment, adoption, and measurable business impact. You will own the technical account plan across ChatGPT Enterprise, the OpenAI API, Codex, and other agentic AI solutions. In partnership with the Account Director, you will translate business priorities into a focused use-case portfolio, an actionable adoption roadmap, and a clear path to durable customer value and growth. The Account Director owns commercial strategy; you own the technical strategy, customer journey, and path to production value. You will remain accountable for the technical outcome while bringing in the right specialists across deployment, implementation, enablement, security, product, and partners to provide deeper expertise and execute work where needed. This role calls for strong industry fluency, sound architectural judgment, and the ability to move confidently between executive strategy and hands-on technical conversations. In this role, you will: Serve as the primary technical advisor and long-term technical relationship owner for a named portfolio of existing customers and pre-sales prospect

JavaScriptPythonJavaAWS
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📍 New York, New York, United States· Full-time
✓ High-confidence listingCompany trend -85.2%

From $192K/yr

Quick readStrong listing-quality and freshness signals

You will lead a small, hands-on engineering team building the secure, scalable Core Analytics Data Access Platform that accelerates Datadog’s Applied AI and analytics capabilities. The team owns the Data Access Platform — a unified interface that lets AI and analytics teams discover and self-serve production-ready datasets while abstracting underlying systems and embedding required legal and compliance guardrails. In this role you’ll own technical direction, contribute to design and code, and partner closely with Applied AI, Product Analytics, and internal platform teams to provide reliable datasets and APIs for model training and analysis. This role balances day-to-day engineering leadership with long-term platform planning. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Lead a Hands-On Engineering Team: Manage, mentor, and grow a small team of 2–4 data engineers (mix of senior and junior) across Paris and NYC, fostering technical excellence and career development. Own Technical Direction and Delivery: Define architecture, engineering priorities, and the team roadmap for the Data Access Platform, driving implementation of scalable, secure data pipelines and platform services. Contribute to Design and Code: Spend substantial time coding, reviewing, and shipping critical platform components to ensure performance, reliability, and operational excellence. Partner with Internal Stakeholders: Work closely with Applied AI, Internal Product Analytics, product managers, and platform teams to define data contracts, APIs, SLAs, observability, and curated analytical datasets. Ensure Data Security, Governance, and Reliability: Implement access controls, lineage, monitoring, and compliance guardrails to support safe model training and repeatable analytics workflows.

AWSAIGoRust
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📍 New York, New York, United States· Full-time
✓ Quality checkedCompany trend -92.9%

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Our Solution Engineering organization is seeking an AI Specialist who can provide hands-on expertise and support while working with technical decision makers and data scientists to design and architect AI solutions built on the Snowflake AI Data Cloud. This is a strategic role that works closely with cross-functional teams, including product, engineering, and the broader field organization to ensure successful execution and customer adoption of Snowflake’s AI & ML solutions. IN THIS ROLE YOU WILL GET TO: Be the technical expert in the room that positions Snowflake’s AI and ML features and value to technical stakeholders at Snowflake’s customers across the Americas. Partner with Snowflake account team teams and customer champions to scope and drive POCs to success and technical wins that prove the value of Snowflake’s capabilities, including executive readouts and business value cases. Collaborate with Snowflake’s product and engineering teams to influence Snowflake’s AI and ML roadmaps based on customer feedback. Publish content that helps the team and company scale beyond your individual efforts, like blog posts, presentations at conferences, or technical collateral like notebooks and demos. Influence, tailor and maintain Sales Engineering AI and ML selling assets, inc

PythonAWSAzureGCP
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📍 New York, New York, United States· Full-time· Remote
✓ High-confidence listingCompany trend -72.3%
Quick readStrong listing-quality and freshness signals

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. We are the Fraud Data team within Plaid's Fraud organization. We leverage relationships and activity across Plaid’s network to develop machine learning models that help customers detect and prevent fraud while minimizing friction for legitimate users. Our team owns the full model lifecycle, from data processing and experimentation to feature pipelines, model serving, and monitoring. In this research role, you’ll partner closely with Machine Learning Engineers and Data Scientists to uncover new signals, explore and evaluate innovative modeling approaches, and translate promising research into production-ready solutions that strengthen fraud detection across Plaid’s network. As a Senior Research Scientist, you will lead applied research to develop next-generation fraud detection models across relational graphs, sequential events, images, and video data. You’ll design rigorous experiments and evaluation methodologies that reflect real-world fraud dynamics, while exploring state-of-the-art approaches such as Graph Neural Networks and Transformer-based foundation models. In close partnership with Machine Learning Engineers, you’ll translate promising research into production-ready solu

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📍 New York, United States
✓ High-confidence listingCompany trend +671.4%

$124.4K – $207.4K/yr

Quick readStrong listing-quality and freshness signals

ROLE SUMMARY PGS’s Environmental Sustainability team manages environmental sustainability risks and opportunities across the enterprise and drives the integration of sustainability into business strategy, operations, product development, and supply chain management to support Pfizer’s 2040 Net Zero commitment and broader environmental ambitions. In this role, the Environmental Senior Manager is responsible for developing strategies and solutions related to climate, biodiversity and nature, and product sustainability programs across Pfizer’s internal and external manufacturing network, which includes leading projects and programs both within PGS and across Pfizer, and developing and managing plans to achieve objectives. The role applies advanced knowledge of environmental sustainability and related disciplines to design programs that enable the organization to meet strategic objectives, while anticipating internal and external business, regulatory, and compliance issues. The role partners with External Supply and Procurement to progress net zero delivery with suppliers and serves as an advisor across the organization by providing technical support and guidance, and by working collaboratively to solve problems. In addition, the role helps implement the framework used to track and assess emerging environmental regulations and associated business risk across the geographies in which Pfizer operates. Finally, the Sr Manager Sustainability leads cross-functional teams, driving alignment and broader organizational outcomes without relying on direct reporting authority. It operates independently in many situations, identifies innovative solutions to complex problems, exercises foresight and judgment, and recommends courses of action. The role is recognized internally and externally as a subject matter expert in sustainability. Develop and implement sustainability strategies and programs, inclu

AIAccountingSupply ChainProcurement
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📍 New York, United States
✓ High-confidence listingCompany trend +671.4%

$139.1K – $231.9K/yr

Quick readStrong listing-quality and freshness signals

As a leading biopharmaceutical company, Pfizer is dedicated to the discovery and delivery of high value therapies across a variety of disease areas. It is our mission to bring innovative medicines to patients that significantly improve their lives, and our priority is to ensure patients have access to these medicines. The Health Technology Assessment (HTA), Value & Evidence (HV&E) team is responsible for ensuring patients have affordable, timely access to medicines and vaccines by advancing innovative value and evidence solutions to inform healthcare decision-making. ROLE SUMMARY The HTA, Value & Evidence Senior Manager is responsible for development and execution of high-quality HV&E strategic efforts to support optimal access and reimbursement for treatments in Oncology. This role directly impacts the ability to achieve business objectives on a global basis by providing strategic guidance and robust evidence development relevant to achieve optimal global patient access by demonstrating the value of Oncology medicines. This position will be part of Pfizer’s dynamic HTA Value & Evidence team and will have the important role of managing health economics and outcomes research (HEOR) to generate data to support patient access to the GU Cancer Portfolio. This position will be working closely with the Oncology cross-functional teams (e.g., access, medical, clinical, commercial, etc.) and country teams to foster a culture that promotes innovation and thrives on doing better for Pfizer’s patients and society in general. This position will function in a closely aligned fashion with the Global Access Strategy and Pricing (GASP) team to ensure there is a single and coordinated view on strategy and project execution. This position will function with a ‘OnePfizer’ mindset and will work in a closely ali

AIProject ManagementRecruitment
P
📍 New York, United States
✓ High-confidence listingCompany trend +671.4%

$68.6K – $114.3K/yr

Quick readStrong listing-quality and freshness signals

Why Patients Need You Pfizer’s purpose is to deliver breakthroughs that change patients’ lives. Research and Development is at the heart of fulfilling Pfizer’s purpose as we work to translate advanced science and technologies into the therapies and vaccines that matter most. Whether you are in the discovery sciences, ensuring drug safety and efficacy or supporting clinical trials, you will apply cutting edge design and process development capabilities to accelerate and bring the best-in-class medicines to patients around the world. What You Will Achieve As a Senior Associate Scientist, you will be at the center of our operations and you’ll find that everything we do, every day, is in line with an unwavering commitment to quality. You will be part of a team to support the preclinical evaluation and early clinical development of mRNA and protein based viral vaccines. You will be responsible for performing and developing immunoassays supporting various viral programs to monitor the immune responses elicited by vaccine candidates. You will be using your scientific knowledge to adapt and develop standard methods and techniques by applying prior work experience and consulting others. You should possess a strong work ethic and collaborative spirit and be adaptable to fast-paced environments. It is your innovative scientific temperament that will help in making Pfizer ready to achieve new milestones and help patients across the globe. How You Will Achieve It Perform assays to analyze immune responses to vaccine candidates that include (but are not limited to) cell culture, neutralization assays, other functional antibody assays, Luminex, and ELISAs in BSL-2 environments. Generate, characterize and tract critical reagents for preclinical bio-functional studies to support vaccine development. Assist with preclinical bio-functional assay development and t

AIExcelRecruitment
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📍 New York, New York, United States
✓ High-confidence listing

$147K – $187K/yr

Quick readStrong listing-quality and freshness signals

Why join us Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek. Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career. Design at Brex Design at Brex creates the experiences that make complex systems feel effortless through thoughtful, scalable design. Whether crafting interfaces, shaping product strategy, or harnessing AI to empower our users, we obsess over quality and clarity. This is a team where creativity meets high craft — and where designers grow by building for ambitious customers. Our production and operations function is essential to making our designers succeed on this mission. What you’ll do We’re seeking an exceptional Senior Brand Producer to join as the first individual contributor on the Creative Operations team. You’ll set the high bar for this role and help define what great production looks like at Brex. This is a highly visible, hands-on role where you’ll lead the execution of complex creative projects from start to finish. You’ll bring both strategic oversight and tactical excellence — ensuring the right systems, vendors, and work

AIAccountingFinance
DU
📍 New York, NY, United States
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

About the Team Our Advertising & Promotions Marketing team operates at the intersection of e-commerce and advertising, surfacing and monetizing relevant content that benefits our core audiences. We provide digital solutions to help advertisers reach DoorDash audiences. The growing DoorDash ads business will quickly become the single best place for merchants and brands to market to local customers, in an ecosystem that benefits all parties. About the Role Our advertising business is one of the fastest-growing parts of DoorDash. This role exists to ensure our sellers are equipped with the right materials for key conversations with enterprise advertisers. You will own the sales content portfolio for our ads business and design the system that produces it. You will co-create our annual sales narrative with our platform and product marketing partners, and own translating it into the practical materials the field actually uses to win. That covers the content sellers use in front of advertisers: pitch decks, one-pagers, customer proof, and playbooks, along with the research that informs it and the governance that keeps it up to date. You will also develop content for our external advertiser training materials. You will manage a team of four marketers covering Restaurant, CPG, and agency audiences across the US, Canada, Australia, and New Zealand, supporting a field of hundreds of sellers. You will partner with Sales, Product Marketing, Revenue Enablement, Product, and business leaders to develop content. Recurring content maintenance and library administration sit with your team. This role reports to the Sr. Director, Ads Marketing. You're excited about this opportunity because you will… Build deep fluency in our ads product suite across our Restaurant and CPG offerings, including occasions and co-marketing programs, and translate that expertise into seller storytelling and content. Own the sales content portfolio and design the operating model behind it, applying bran

SQLAISalesforceExcel
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📍 New York, USA - Remote, United States· Remote
✓ High-confidence listingCompany trend +90.9%
Quick readStrong listing-quality and freshness signals

Job Requisition ID # 26WD99456 Senior Product Manager – AEC Visualization Solutions About the Role Location: East Coast US or Canada, remote with occasional travel Autodesk’s visualization technology empowers AEC customers to communicate ideas, validate designs, and make critical decisions across the entire design and make lifecycle. From early concept through construction and beyond, our tools help bring some of the world’s most complex projects to life. We are looking for an experienced and highly collaborative Product Manager to join our Visualization Solutions web team, someone who is passionate about building exceptional user experiences and thrives at the intersection of cutting-edge technology, complex customer workflows, and platform strategy. In this role, you will play a key role in defining the future of interactive visualization at Autodesk, building the shared visualization platform that powers experiences throughout the Autodesk ecosystem. You’ll operate across both platform and product, identifying the highest-impact opportunities and driving solutions from strategy through execution. You will work closely with teams across Autodesk to create visualization capabilities that can serve multiple products and workflows while delivering

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📍 New York, New York, United States
✓ High-confidence listingCompany trend -85.2%
Quick readStrong listing-quality and freshness signals

Business Systems drives efficiency across Datadog through business process analysis, systems automation and integrations, AI agent and MCP development, and vendor/software review. The team is increasingly embedded in cross-functional initiatives across People, Finance, GTM , Legal, Recruiting, and Technical Solutions — translating ambiguous business problems into scoped, buildable solutions and owning delivery end-to-end. This is not a generalist BSA role. Each Senior BSA will own a cluster of business functions end-to-end, acting as an internal product manager for their domain rather than processing inbound requests reactively. There are two openings, each covering a different domain: People, Recruiting, Legal or Finance, GTM, Procurement As the role evolves alongside AI, Senior BSAs leverage agentic tools for data aggregation and context gathering while remaining the critical human-in-the-loop layer — owning business context and product outlook, validating use cases, managing stakeholder relationships, and making the judgment calls agents can't. At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them. What You’ll Do: Discovery and scoping: Translate ambiguous asks from business stakeholders into well-defined requirements that Business Systems Engineers can build against. Many stakeholders don't know what they want or the cross-functional impact of what they're asking for — you surface both before engineering begins. Cross-functional visibility: Identify dependencies, downstream impacts, and integration considerations that requesting teams miss. Proactive opportunity identification: Develop deep domain knowledge to identify automation and AI opportunities before they become inbound requests, shifting the team from reactive in

AISalesforceFinanceProcurement
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📍 New York, NY, United States
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

Our Mission You call. You wait. You call again. In every other part of your life, you book in seconds. In healthcare, you’re blocked. We’re here to give power to the patient. For nearly 20 years, we’ve built the leading healthcare marketplace - helping tens of millions of people find and book the care they need. Now, we’re going further: building our infrastructure beyond Zocdoc’s marketplace to power access to care wherever patients search, from provider websites and insurance directories to search engines, AI platforms, and more. Healthcare still lacks something every other major consumer industry takes for granted: a seamless way to go from seeking to getting . We don’t want to own the front door to care; there isn't one. We want to make sure all of those doors open when patients are knocking. Fixing healthcare starts with fixing access to it. And we're still just getting started. About the Role We're transforming how healthcare practices interact with Zocdoc, building intelligent systems that understand each practice's needs and guide them toward actions that grow their business. This means personalized homepages, smart recommendations, AI-assisted configuration, and workflows that make Zocdoc essential to daily operations. As Senior Software Engineer, you'll build these systems end-to-end. You'll own features from design through production, work across the stack, and collaborate with Product, Design, and Data Science to ship experiences that matter. What You'll Do Build platform components - including practice profile services, engagement scoring pipelines, recommendation APIs, personalization infrastructure. Ship product features end-to-end - database to API to front-end, owning the full lifecycle. Work with Data Science to integrate ML models build feature pipelines, call model endpoints, instrument feedback loops. Write production-ready code with strong testing, observability, and error handling. Participate in design discussio

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