Senior AI Engineering Jobs

Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you’ll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One.

$269k - $307k

Capital One is seeking passionate Full Stack Software Engineers to join their Agentic Technology team. You will be instrumental in building and pioneering AI features and products, solving complex business problems in a fast-paced, collaborative environment. This role offers the opportunity to be at the forefront of driving significant transformations within the company by leveraging emerging technologies and data.

$179k - $205k

Capital One is building a new AI-native platform to empower business users to execute AI-assisted analysis across various lines of business. This enterprise platform will serve over 15,000 users, integrating deterministic code with reasoning systems and both frontier and homegrown AI models to transform data analysis within the company. The role involves partnering with cross-functional teams to deliver AI-powered products, designing and developing AI software components, and leveraging a broad stack of open-source and SaaS AI technologies. You will invent and introduce state-of-the-art foundation model optimization techniques to enhance the performance of large-scale production AI systems, contribute to the technical vision and roadmap of foundational AI systems, and set the technical direction for enterprise-wide AI architecture.

$245k - $279k

Capital One is seeking a Staff AI Engineer to join the Intelligent Foundations and Experiences (IFX) team, which is central to bringing the company's AI vision to life. This role involves partnering with cross-functional teams to deliver AI-powered products that transform how associates work and customers interact with the bank. You will design, develop, test, deploy, and support AI software components, including foundation model training, LLM inference, agents, multi-agent workflows, similarity search, guardrails, model evaluation, and more. The position offers the opportunity to leverage a broad stack of Open Source and SaaS AI technologies and to invent and introduce state-of-the-art foundation model optimization techniques to improve the performance of large-scale production AI systems. You will also contribute to the technical vision and long-term roadmap of foundational AI systems, set technical direction for enterprise-wide AI architecture, and own the design and integration of model routing, caching, and orchestration systems.

$245k - $279k

SecureBio is seeking a Senior Research Scientist to join their AI Biosecurity Assessments team. In this role, you will evaluate frontier AI models for dual-use biological risks before their public release. This involves running technical assessment pipelines, analyzing model behavior, and producing reports that inform relevant audiences about identified risks. Your work will contribute to setting industry safety standards and influencing policy bodies like the NIST US AI Safety Consortium and the European AI Office. You will collaborate with AI firms, internal research teams, and policy makers to ensure the safe development and deployment of advanced AI technologies.

$235k - $300k

MongoDB's Application Modernization Platform (AMP) helps organizations modernize legacy applications and move their workloads and associated data from relational databases to MongoDB. The Platform team builds the shared foundations that make AMP a cohesive product by connecting specialized tools and services through consistent interfaces, integrating them with AI agents and development environments, and making them secure, observable, and straightforward to deploy and operate. We are looking for a Staff Engineer to set technical direction and lead delivery of this platform, combining deep systems engineering with product judgment to turn ambiguous requirements into reusable services and working integrations. Your impact will be measured by how reliably teams and customers can adopt and use AMP capabilities, and how much engineering effort the platform removes from their path.

Elastic

Elastic is seeking a Senior Software Engineer to join their Integrations Team. This role is crucial for building how Elastic integrates with the AI ecosystem, making it easy for developers to find, connect to, and use Elastic within AI assistants and agentic tools. The team owns developer-facing surfaces like language clients, CLI, MCP server, and third-party integrations, ensuring Elastic is accessible wherever developers work. The ideal candidate will thrive in a fast-paced, ambiguous environment, contribute to product direction, and collaborate closely with product teams and external partners.

PLN 308k - PLN 487k

Databricks

The Databricks Customer Enablement team is dedicated to upskilling data and AI professionals within customer organizations to ensure effective use of Databricks and accelerate customer success. As a Customer Enablement Architect, you will be responsible for designing and leading customer enablement and talent-transformation programs across Australia and New Zealand. This role involves close collaboration with Sales, Field Engineering, Forward Deployed Engineering, Training Delivery, and Operations to understand customer needs, recommend appropriate learning solutions, and oversee their successful implementation. You will manage both strategic customer engagement and program execution, focusing on training bookings, revenue, learner engagement, credentials, and adoption. While deep hands-on technical training delivery is not expected, a strong technical understanding of Databricks curriculum and certifications is necessary to make credible recommendations and engage effectively with technical stakeholders.

NVIDIA is seeking a Senior System Software Architect specializing in AI and GPU Networking to join their AI Networking Research team. This role involves exploring technological challenges in accelerated networking and building AI data centers, researching new transport functions and semantics for optimizing AI workloads and systems, and leading architectural and development efforts across various fields including distributed AI, deep learning, data analytics, High Performance Computing (HPC), Software Defined Networking (SDN), virtualization, and storage. The architect will enhance NVIDIA's GPU Networking offerings, co-design hardware features to accelerate data movement for inference and model serving, identify and evaluate new technologies, and lead the architecture and design of new innovations like runtime systems and communication libraries.

Mastercard is seeking a Senior Software/AI Engineer to join their AI & Decision Product Enablement team in Vancouver. This role is crucial for advancing Mastercard's Sanctions Screening solutions by building scalable, high-performance services that assist financial institutions in managing sanctions risk, ensuring regulatory compliance, and facilitating secure payment processing. The position offers a chance to work on a highly visible platform and influence the adoption of AI-enabled engineering practices across the organization. The engineer will design, develop, and support business-critical software systems at a global scale, collaborating with various teams to deliver reliable, secure, and innovative solutions.

CA$111k - CA$160k

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.

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.

Anthropic

We are seeking an Applied AI Engineer to join our Beneficial Deployments team, with a specific focus on maximizing the impact of Claude within the life sciences sector. The primary objective is to significantly accelerate scientific progress across research and development, from early academic discovery to paradigm-shifting biotech and reimagined pharma pipelines. This role involves working directly with leading research partners, embedding within their scientific workflows, and prototyping AI agents that integrate into real research processes. You will also develop essential ecosystem-level tooling, such as MCP servers, benchmarks, and reusable agent skills, to enhance Claude's utility across the broader life sciences community. This position is part of the foundational Beneficial Deployments applied AI team, dedicated to advancing life sciences towards the technological frontier.

$280k - $320k

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.

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

Anthropic

The Account Abuse team is responsible for ensuring Anthropic's computing capacity is allocated fairly by minimizing resources for bad actors and preventing their return. As a software engineer on this team, you will build the machine learning systems that detect and stop abuse at scale. The ideal candidate can anticipate opponent strategies and responses to countermeasures. This role involves full-stack machine learning engineering across model training, productionization, and evaluation, with opportunities to leverage Claude to accelerate model development and maintenance. The focus is on classical ML applied to structured and behavioral data, emphasizing robust production systems, precise measurement, and safe rollout strategies, as false positives can lead to legitimate customer lockout.

$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

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

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

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.

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.

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.

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.

Cloudflare

Cloudflare MCP Server Portals provide organizations with a secure, centralized method to connect AI agents to internal and third-party tools. As a Senior Systems Engineer on the MCP Portals team, you will be responsible for the design, delivery, and operation of distributed systems that handle user authentication, manage OAuth credentials and sessions, enforce Zero Trust policies, and proxy MCP traffic across Cloudflare's global network. This role involves owning complex projects that span multiple service boundaries, making critical architectural trade-offs, and guiding other engineers in delivering reliable and secure changes. You will collaborate closely with engineers and product managers from Access, Gateway, and Developer Platform teams as the protocol and product evolve. We are seeking a hands-on engineer capable of clarifying ambiguous system problems and taking ownership of production outcomes.

€66k - €91k