Senior AI Engineering Jobs

NVIDIA is seeking an AI Networking Architect to join the Networking Research Group. This role focuses on bridging the gap between emerging AI workloads and the data center infrastructure that powers them, operating at the intersection of AI applications, distributed systems, networking hardware, and software architecture. You will contribute to a team driving AI workload optimization through deep application understanding, network analysis, and end-to-end systems thinking. Your contributions will directly influence NVIDIA products across the entire stack, from applications and software libraries to hardware architecture and physical design.

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Datadog

Datadog's Product Analytics suite aims to provide product teams with a comprehensive view of user experience, enabling them to release, measure, and improve features with confidence. The Applied AI/ML team within this suite focuses on making these tools more intelligent and autonomous by researching, prototyping, and implementing AI/ML capabilities. These advancements include AI-driven event understanding, conversational analytics, automated insights, and UI/UX issue detection from session replays, with the goal of empowering product teams to move from questions to insights and implemented changes independently. As the Engineering Manager for this team, you will lead a group of Applied Scientists in an early-stage, high-impact role. Your responsibilities will include defining the team's technical vision, expanding its influence, and shaping the development and delivery of AI capabilities across the product suite. This is a greenfield opportunity, involving both R&D and team growth.

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NVIDIA is seeking a Senior Software Engineer to build agentic workflows for their network architecture group. This role involves designing and implementing multi-step agent workflows that operate on a hardware network simulation environment. You will engineer the context that grounds these agents in specifications and source code, and optimize their runtime performance. The goal is to build practical infrastructure that brings intelligent agents to life, supporting architects in their daily work.

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Anthropic

Anthropic is building reliable, interpretable, and steerable AI systems to be safe and beneficial for users and society. The Cloud Inference team is responsible for scaling and optimizing Claude to serve massive audiences across AWS, GCP, Azure, and other cloud providers. This involves owning the end-to-end product on each platform, from API integration and intelligent request routing to inference execution, capacity management, and operations. Engineers on this team are highly leveraged, driving multiple revenue streams while optimizing compute resources. The role requires product-minded backend engineers who can navigate platform differences, design cross-provider services and abstractions, and make architectural decisions for reliability and cost-effectiveness at massive scale. The work directly contributes to increasing service scale, accelerating the launch of new models and features, and ensuring LLMs meet rigorous safety, performance, and security standards.

$320k - $485k

Capital One is seeking passionate Machine Learning Engineers to join their team and drive AI transformations. This role involves leveraging cutting-edge open-source frameworks, advanced algorithms, and emerging technologies to solve complex business problems. You will have the opportunity to build and scale massive multi-tenant platforms for ML model training and serving, inform infrastructure decisions with a deep understanding of ML techniques, and collaborate within cross-functional Agile teams to create state-of-the-art big data and ML applications. The position emphasizes writing and testing application code, developing and validating ML models, and automating tests and deployment, all within a fast-paced, collaborative, and iterative delivery environment.

$230k - $262k

We are seeking a Senior Software Engineer with a Full Stack Web Development background, focusing on Google Cloud Platform (GCP) and Vertex AI Search. This role is part of the Brands & Marketing Software Engineering Team, responsible for building innovative customer experiences, including AI-powered discovery and search. The mission is to leverage GCP and Vertex AI to deliver intelligent, personalized digital experiences at scale. The successful candidate will lead engineering efforts in planning, design, architecture, and execution, with a strong emphasis on building modern web applications that integrate with GCP-native services and designing AI-powered search experiences.

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Anthropic

The Cloud Inference team is responsible for scaling and optimizing Claude to serve massive audiences of developers and enterprise companies across major cloud platforms like AWS, GCP, and Azure. Within this team, the model & inference launch team focuses on the validation pipeline for inference servers and load balancers. This critical infrastructure work ensures that every inference change, including new model launches and performance improvements, is deployed with correctness, performance, and reliability. The goal is to make validation fast, cost-effective, and trustworthy, directly impacting how quickly advanced models and features reach users on all cloud platforms and how efficiently compute resources are utilized.

$320k - $485k

Capital One is at the forefront of leveraging AI to transform banking, creating responsible and reliable AI systems that enhance customer experiences. The Intelligent Foundations and Experiences (IFX) team is central to this vision, building and deploying proprietary AI solutions that deliver value to millions of customers. This role involves partnering with cross-functional teams to deliver AI-powered products, designing and supporting AI software components, and leveraging a broad stack of AI technologies. You will invent and introduce state-of-the-art foundation model optimization techniques, contribute to the technical vision of foundational AI systems, and design/implement multi-model orchestration pipelines. The ideal candidate is deeply technical, passionate about AI research, and thrives on solving complex, undefined problems.

$230k - $262k

OpenAI

OpenAI is seeking dedicated, experienced, and curious individuals to join its User Operations team as an AI Support Engineer. This role is crucial in supporting customers' adoption of AI and ensuring an exceptional product experience. You will work directly with customers through support tickets and live calls, troubleshooting high-impact issues and resolving novel, often ambiguous technical problems in a fast-paced environment. Your work will directly support mission-critical systems being built on OpenAI's platform, serving as a critical line of defense for customers operating at massive scale. Beyond resolving technical issues, you will help define world-class support in an AGI-driven future, partnering closely with Engineering, Product, and Operations to improve systems, reduce bugs, and elevate the customer experience by leveraging automation, agents, and AI technology.

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PostEra

PostEra is seeking a Machine Learning Researcher to spearhead the development of an agentic research vertical. This role involves leveraging agentic systems to automate the creation of mechanistic models for biochemical and physiological processes, and to analyze biological data for target validation. You will collaborate closely with chemists and biologists to guide drug discovery decisions using these models. A key focus will be on developing machine learning methods capable of rapid adaptation to new drug discovery challenges with limited labeled data, particularly in molecular and tabular in-context learning and building foundation models from proprietary multimodal data. You will be responsible for the entire research loop, from defining tasks and constructing datasets to training and scaling models, performing rigorous ablations, and translating successful methods into practical capabilities for PostEra's scientists. While prior drug discovery experience is not mandatory, a strong motivation to learn the domain and collaborate with interdisciplinary scientists is essential.

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SurveyMonkey is seeking talented Machine Learning Engineers to join their organization, which spans both the Machine Learning Platform (MLP) team and the Product Data Science team. You will work at the intersection of Data Science, DevOps, and Product, contributing to enterprise-scale NLP and ML systems. The roles involve building and owning end-to-end ML/AI solutions, architecting scalable platforms and data pipelines, and delivering tailored AI solutions by training, fine-tuning, and deploying models. This is an opportunity to drive continuous improvement and innovation, with roles available for engineers at various career stages, from early career to Staff Engineer.

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Tavus

Tavus is building the human layer of AI, aiming to make human-AI interaction as natural as face-to-face communication. We pioneer research in multimodal AI for modeling human communication (language, audio, video) and generating audio-visual avatar behavior, powering applications from text-to-video avatars to real-time conversational video. We are a Series B company backed by top investors, seeking individuals who thrive in startup environments, can prioritize independently, and are willing to take calculated risks to help pave the path forward.

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Accenture

You will design, build, and deploy production-grade agentic AI systems across the full enterprise technology stack. This role involves working directly with client engineering teams, leading technical design sessions, and building reusable patterns and accelerators that scale beyond individual engagements. You will gain breadth across every industry, every enterprise technology stack, and every level of organizational complexity, combined with vendor fellowship access inside leading AI companies and a direct pathway to advanced engineering programs.

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JPMorganChase is seeking an Applied AI ML Director to join their Commercial & Investment Bank team in Seattle, WA. This role focuses on transforming payments through classical and cutting-edge AI/ML technologies. You will be responsible for strategizing and building innovative solutions to enhance trust, safety, and operational efficiency, owning projects end-to-end from problem framing and data strategy to production deployment and measurement. While setting technical direction, you will remain hands-on and collaborate with product, engineering, data, risk, and compliance stakeholders.

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Capital One is seeking a Senior Staff AI Engineer to join their Agentic AI Platform team. This role is central to bringing the company's vision for AI to life, working hand-in-hand with partners to advance AI science and engineering. You will build and deploy proprietary solutions that are critical to the business and deliver value to millions of customers. The team's AI models and platforms empower associates across Capital One to enhance products with AI in responsible and scalable ways, driving high-leverage impact. You will help bring the transformative power of emerging AI capabilities to reimagine how Capital One serves its customers and businesses.

$286k - $327k

Salient

Salient is seeking a Telephony Infrastructure Engineer to take ownership of the voice platform that powers our AI agents. This role involves managing the SIP edge, Asterisk, voice audio and dialing layers, and call servers. You will collaborate with AI agent engineers, telephony specialists, customer success teams, and carriers to ensure the platform's reliability, safety, and scalability for future growth. This is a hands-on position where you will complete ongoing projects, enhance platform stability, and prepare it to handle significantly increased call volumes. Additionally, you will design and implement customer telephony integrations, working towards making these processes more self-serve.

$200k - $300k

HUD is building reliable, fair, and open infrastructure for AI data, aiming to make data valuable for creators and trustworthy for AI trainers. We are a growing team of researchers, engineers, and operators backed by significant VC funding. We are seeking a Research Manager to lead research focused on enhancing HUD's agent training data and evaluations for frontier models. This role involves guiding research engineers through complex projects, translating findings into scalable methods, and staying technically engaged while ensuring rigorous experimentation and impactful results. The ideal candidate will possess a deep understanding of model training dynamics, including how signals, data, and evaluation design influence outcomes.

$120k - $295k

Our Consumer Bank AI Modeling team develops advanced analytics and machine learning solutions that inform high-impact decisions across field workforce effectiveness, customer engagement, and banker-led growth. As an Applied AI Modeling Vice President in this team, you will build and deploy advanced AI/ML models that measurably improve banker sales effectiveness and customer outcomes. Your models will help bankers deliver the right outreach at the right time to our customers, driving deposit growth, increasing customer retention, and strengthening relationships. You will operate in a highly governed environment and partner closely with product, UX, operations, and technology teams to translate modeling innovation into field-ready tools that bankers trust and adopt.

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Faire is seeking a Senior Applied AI/ML Scientist to join the Listing Quality team. This role will focus on developing and implementing algorithmic solutions to revolutionize the wholesale industry by improving product catalog content. You will be responsible for the modeling and measurement of product images, titles, descriptions, and attributes, leveraging multi-modal deep learning and LLMs to enhance product discoverability and sales. This is a high-impact position where you will drive projects end-to-end, from problem framing to production and measurement, working with unstructured data to solve challenging marketplace problems.

$211k - $291k

Toast

Toast is seeking a Staff Software Engineer to join the Voice AI Team. This role will be instrumental in building and operating the voice platform that powers Toast and developing novel applications on top of it. This is a greenfield opportunity where the platform and its use cases are being defined, and your work will be foundational for years to come. You will take end-to-end ownership of significant projects, including system design, execution, and technical decision-making. Collaboration with product, engineering, and stakeholders across Toast will be key to transforming ambiguous problems into reliable, scalable systems.

$151k - $309k

DevRev is building the first agentic platform that unifies customer support and software development on a shared knowledge graph. The Tech Alliances team drives deep technical partnerships with major AI and cloud platforms. We are hiring a Tech Alliance Architect to be the technical lead for these partnerships. This role involves identifying joint value, building solutions and reference architectures, and evangelizing this value to both business and technical audiences.

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As a Data Scientist on the Commercial Bank Applied AI team, you will be at the forefront of embedding Generative AI directly into core business processes. You will specialize in building enterprise-grade architectures using advanced techniques such as Multi-Agent Systems, Advanced RAG, Context Engineering, and Tool-Calling Frameworks. This role is ideal for someone deeply passionate about the practical applications of Generative AI with hands-on experience in machine learning and AI, gained through professional industry work or rigorous academic research. You will partner with a cross-functional team to deliver Generative AI solutions, leveraging a broad stack of technologies to build Multi-Agent systems and advanced RAG pipelines over vast volumes of data. You will build Generative AI models and pipelines through all phases of development, from context engineering through fine-tuning, evaluation, validation, and deployment, translating complex work into tangible business goals.

$136k - $155k

Faire is seeking a Senior Applied AI/ML Scientist to join their Marketplace Quality team. In this role, you will be responsible for developing and implementing algorithmic solutions to ensure the trustworthiness of Faire's marketplace for brands and retailers. This involves matching Faire's catalog against external data, detecting pricing and policy violations, and optimizing actions based on finite resources. You will work with structured and unstructured data, employing techniques like entity resolution, information extraction, multi-modal LLMs, and constrained optimization. The position requires driving projects from conception to production and measurement, in close collaboration with product, engineering, and operations teams.

$211k - $291k

DevRev is seeking a Senior Data Engineer to contribute to the evolution of their data platform, which underpins critical business decisions and customer-facing AI experiences. This role involves owning significant aspects of the data architecture, ensuring DevRev Computer's memory is accurate and efficient for providing answers. The engineer will design and operate scalable data systems, collaborating with Software Engineering, AI Agent teams, Data Science, and Product teams to transform complex data requirements into reliable data products. This position is ideal for an experienced engineer passionate about tackling challenges in large-scale data, distributed systems, database architecture, and performance optimization, offering substantial technical ownership and the chance to shape the direction of the agentic data platform.

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