AI Engineering Jobs in New York

Snorkel AI

Snorkel AI is seeking a Staff Applied AI Engineer to join their frontier AI data lab. In this role, you will research and implement state-of-the-art Generative AI and machine learning techniques to deliver impactful solutions for customers. You will work directly with clients to understand their needs, design AI solutions, and contribute to Snorkel's tooling by translating real-world challenges into reusable recipes and workflows. This position is ideal for individuals who enjoy solving complex problems, bridging AI technology with business value, collaborating with customers, staying current with AI research, and standardizing solutions into internal tooling.

$230k - $360k

Snorkel AI

Snorkel AI is seeking experienced Platform Engineers to build and operate the core infrastructure and services powering their AI data platform. This role involves designing and implementing event-driven data flows, agent infrastructure, and systems for data lineage, governance, and auditing. You will play a key role in a foundational architecture shift towards an event-first platform, making decisions that will impact the company's scalability for years to come. The position offers significant ownership and the opportunity to shape the future of Snorkel's platform.

$220k - $300k

Snorkel AI

Snorkel AI is seeking experienced Software Engineers at Senior/Staff levels to join their AI Platform team. This role involves building the core infrastructure and systems that power AI development at scale, focusing on synthetic data generation, evaluation, agentic workflows, simulation environments, and LLM infrastructure. You will work on systems designed to make inherently non-deterministic workloads observable, reproducible, measurable, and scalable, enabling rapid experimentation and reliable production systems for AI models and agents.

Salary not listed

Snorkel AI

Snorkel AI is seeking a Manager, Forward Deployed Engineering to establish and lead the Forward Deployed Engineering (FDE) function within the Data-as-a-Service (DaaS) organization. This role is responsible for the technical execution of DaaS delivery, managing the systems, workflows, and quality frameworks for large-scale dataset production. As a player-coach, you will define strategy and architecture while remaining hands-on with implementation, working at the intersection of data engineering, ML engineering, and production operations to enhance technical delivery capabilities.

$200k - $320k

Snorkel AI

Snorkel AI is seeking a Senior/Staff Forward Deployed Engineer to join their frontier AI data lab. This engineering delivery role involves translating ambiguous customer needs into production-grade data, evaluation, and ML-assisted workflows. You will own the end-to-end AI data pipeline lifecycle, developing and deploying ML-based workflows and building foundations to enhance human-in-the-loop data generation and review. This position operates at the intersection of data science, data engineering, AI engineering, and operations, partnering with the DaaS Delivery Operations team and cross-functional stakeholders to develop technical specifications, design evaluation workflows, and implement quality standards.

$180k - $320k

Snorkel AI

Snorkel AI is seeking a Forward Deployed Engineer specializing in Synthetic Data Generation to collaborate with leading AI labs and enterprises on critical AI initiatives. In this role, you will spearhead the technical execution of complex customer projects that leverage synthetic data to enhance model training, evaluation, and overall performance. You will be responsible for transforming vague model and data challenges into concrete data strategies, developing robust generation and evaluation pipelines, and utilizing experimentation to continuously improve data quality and downstream model results. Your work will span the entire delivery lifecycle, from initial technical discovery and solution design to implementation, evaluation, and production deployment. Additionally, you will identify common patterns across engagements to develop reusable capabilities, technical standards, and product enhancements.

$180k - $320k

Snorkel AI

Snorkel AI is seeking a Forward Deployed Engineer specializing in Computer Use Agents (CUA) to collaborate with leading AI organizations on their critical agentic AI projects. This role involves leading the technical execution of complex customer engagements focused on agents that interact with computers, browsers, and software to accomplish multi-step tasks. You will translate challenging product and model issues into effective task environments, datasets, and evaluation strategies to enhance agent reliability and overall performance. The position spans the entire delivery lifecycle, from initial technical discovery and solution design to implementation, evaluation, and production deployment. Additionally, you will identify common patterns across projects to develop reusable capabilities, technical standards, and product enhancements.

$180k - $320k

Conveo

Conveo.ai is a rapidly growing Y Combinator-backed company seeking a Senior Product Engineer to join its small, impactful engineering team. This role offers the unique opportunity to shape the company's future and own the full product development lifecycle, from customer problem identification to shipping working software. You will report directly to an engineering lead and collaborate closely with the CTO. Conveo is building an AI research platform that enables fast, affordable, and high-quality consumer and B2B research, used by global brands like Unilever and Google to help companies better understand their customers.

$180k - $225k

Decagon

Decagon is seeking a Senior/Staff Software Engineer to join the Data Lifecycle team. This team builds and maintains the critical infrastructure that governs how sensitive customer data is handled throughout its entire lifecycle, from storage and access control to redaction and deletion. The role involves designing and implementing robust systems that ensure data privacy and compliance across Decagon's conversational AI platform, which serves industry-leading enterprises. You will work closely with product management, governance, and security teams to translate complex privacy requirements into reliable infrastructure and user-configurable products. Engineers on this team own features end-to-end, ensuring the secure and consistent protection of sensitive data across various communication channels and customer systems.

$200k - $400k

As a Machine Learning Engineer – Document Digitization (LLMs)- Senior Associate within the Global Technology team, you will design, develop, and deploy secure, scalable, and innovative technology products that transform how documents are processed and managed. You will use advanced AI and machine learning to extract, analyze, and manage information, driving strategic business outcomes. You will collaborate with cross-functional teams, mentor others, and continuously seek opportunities for improvement and innovation.

Salary not listed

ASAPP

This role involves serving as a trusted technical advisor to senior technology leaders at strategic prospects and customers. You will provide a clear perspective on the future of conversational and agentic AI, guiding customers on adoption strategies. You will lead executive briefings, architecture discussions, and workshops, and shape custom requests into reusable product capabilities by partnering with Product and Delivery teams. The role includes an onboarding rotation through Delivery, Research, and Engineering teams to build hands-on platform knowledge before taking on full account coverage. You will also embed with these teams to translate learnings into guidance for Solution Engineers and other technical field teams, and bring customer needs back to Product and Engineering as prioritized input. Additionally, you will represent the company externally through content, talks, and industry conversations.

$230k - $240k

Turing

Turing's mission is to accelerate superintelligence to drive real economic progress. The company works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks. Turing also partners with Fortune 500 enterprises to build and deploy end-to-end agentic AI systems within mission-critical workflows. This role involves leading the Turing Enterprise AI Platform technical team, which is being built out for a late 2025 SDK release and a Q1 2027 tenant onboarding. The goal is to grow the team to eight to ten members and collaborate with the Chief AI Architect on client-facing architecture and evaluation.

Salary not listed

Anthropic

As a senior data science leader for Model Experience, you will play an instrumental role in shaping data-informed decision-making across the organization. You will be a strategic thought partner to product, engineering, and research leaders, influencing model roadmap and launch decisions by providing insights into user experience and model performance beyond benchmark scores. In this tech lead manager role, you will also be responsible for hiring, managing, and developing a team of data scientists, setting their agenda, leading high-stakes analyses, and elevating the impact of data on model and product decisions.

$380k - $460k

As a Senior Lead Software Engineer at JPMorgan Chase within the Commercial and Investment Bank Digital & Platform Services, Data Analytics, you will be an integral part of an agile team focused on enhancing, building, and delivering trusted, market-leading technology products securely, stably, and scalably. You will drive significant business impact by applying deep technical expertise and problem-solving methodologies to diverse challenges across multiple technologies and applications. This role involves designing and shipping production agents, building robust retrieval systems, and managing complex agent memory and organizational context.

Salary not listed

DreamLever is seeking its first in-house engineer to lead technical execution on a live, customer-facing AI product. This is a hands-on leadership role where you will write code daily, make engineering decisions, and translate product priorities into polished software. You will work closely with the founder to understand the vision, translate detailed direction and prototypes into code, and move quickly from feedback to shipped improvements. The role involves owning technical execution, coordinating development, deciding what to build autonomously versus delegating to an external engineering partner, and overseeing execution to meet product goals. You will also be responsible for improving the AI quality of the system's agent and maintaining a clear and reliable engineering foundation.

$170k - $200k

The Machine Learning Center of Excellence (MLCOE) within JPMorgan Chase's Chief Data & Analytics Office (CDAO) partners across the firm to develop and deploy Machine Learning solutions for complex business challenges. The CDAO leverages data and AI/ML technologies to generate insights, drive decision-making, develop new products, improve productivity, and enhance risk management. As a Time Series and Reinforcement Learning Summer Associate, you will join a team of technologists and researchers exploring cutting-edge ML research and applying advanced techniques to J.P. Morgan's data assets. You will collaborate directly with business stakeholders to drive a data-led transformation. The internship program includes project work, mentorship, and speaker series, with potential for full-time offers upon successful completion.

Salary not listed

Parloa

Parloa is shaping the foundation of a new era in customer experience with agentic AI, where customer support becomes meaningful exchange rather than just transactions. We have powered over one billion interactions for global enterprise brands. As Manager, Agent Architecture, you will build and lead a team that transforms customer service with AI Agents, while also staying hands-on in the build yourself. You will hire, coach, and set goals for Agent Architects, owning the quality of every AI Agent they ship, with a significant portion of your capacity dedicated to live customer engagements. This is an opportunity to lead at the forefront of enterprise AI, where credibility is earned through direct contribution alongside your team.

$160k - $200k

Datadog

Datadog is seeking ambitious leaders to drive the growth of its Database Monitoring product, which is expanding beyond traditional monitoring to include self-healing capabilities powered by AI. The role involves building and developing engineering teams, collaborating closely with Product, and launching new features that deliver significant value to developers. This position is ideal for AI-forward leaders with product engineering backgrounds who are passionate about owning business lines and scaling exceptional teams.

$244k - $305k

Scale AI

As a Forward Deployed AI Engineering Manager on the Enterprise team, you will serve as the technical bridge between Scale AI's advanced AI capabilities and strategic customers. This management role requires a blend of deep engineering and AI expertise, team leadership, and customer-facing problem-solving. You will collaborate with enterprise clients to understand their unique challenges, lead a team in architecting specific AI solutions, and ensure the successful deployment and adoption of AI systems within their production environments. You will work directly with customer engineering teams to integrate AI into their critical workflows.

$227k - $325k

JPMC is hiring for its growing Asset and Wealth Management AI Engineering team, operating with a startup mentality to build next-generation AI applications and platforms for the financial services industry. We are seeking a hands-on AI Engineering lead and domain expert passionate about creating cutting-edge business solutions powered by AI. As a Senior Associate AI/ML Engineer, you will take a lead role in hands-on development of high-impact business solutions by analyzing data, developing advanced ML and LLM models, and deploying them to production environments on AWS or Azure. You will leverage your extensive development expertise and a drive for innovation to solve complex business problems for our Private Bank clients, embracing and encouraging the adoption of leading-edge technologies and methodologies.

Salary not listed

Tavily is building the infrastructure layer for agentic web interaction at scale, powering Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. They connect LLMs to high-quality, trustworthy web content, enabling developers to build intelligent and informed agents. Tavily works with innovative AI teams, from startups to large enterprises, serving as the link between LLMs and the real world.

$147k - $224k

Scope Labs is seeking an AI Engineer to join their team in New York City. In this role, you will be embedded with startup customers, responsible for designing and shipping the AI systems that power their products. You will work at the intersection of applied ML, systems thinking, and customer partnership, taking ambiguous problems and developing working prototypes rapidly. This is an opportunity to be at the forefront of bringing new AI technology to fast-moving teams, operating with autonomy and accountability for outcomes.

$150k - $200k

Ultra is seeking a Product Engineer, AI Enablement to develop and deploy internal tools that enhance AI utilization across the company. This role involves collaborating with various teams to identify AI opportunities, build reliable internal tools and workflows, and ensure their adoption. You will be part of the Software team, focusing on both the software development lifecycle for AI tools (coding agents, reviews, testing) and empowering non-engineering colleagues with AI-driven automations. The position is production-oriented, requiring evaluation of commercial tools, development of custom solutions, and measurement of impact and adoption. This is an in-person role in NYC, offering direct visibility into Ultra's operations.

$150k - $225k

Turing

Enterprise AI is building the platform that enables reliable deployment of AI systems across enterprise environments. As a Platform Engineer, you will build and operate the core of Turing’s Enterprise AI platform, including platform services, the model gateway, multi-tenant infrastructure, CI/CD, infrastructure as code, and observability. The central challenge is creating repeatable deployments across environments Turing may not control, including client cloud accounts, dedicated instances, and sovereign installations. This role requires hands-on software engineering and operational ownership, with a focus on building production software and contributing deeply to platform services.

Salary not listed