Senior AI Engineering Jobs

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 work on the forefront of scaling production models and building massive multi-tenant platforms for ML training and serving. The position requires a blend of hands-on technical contribution, innovation, and leadership, including mentoring peers and junior engineers, and recruiting top talent.

$230k - $262k

As a Principal Data Scientist on the AI Foundations Specialist Models team, you will be instrumental in building and shipping state-of-the-art, scalable AI/ML solutions for Capital One's award-winning mobile app. You will partner with product, tech, and design teams to deliver dynamic and personalized customer experiences, including enabling interactions with Capital One's digital assistant and enhancing content search capabilities. This role is focused on experimenting with, innovating, and creating next-generation experiences powered by the latest emerging generative AI technologies, driving disruption at a massive scale across billions of customer records.

$162k - $185k

Capital One is building responsible and reliable AI systems to transform banking. We are at the forefront of enterprises leveraging AI, using machine learning to create personalized customer experiences and bring humanity and simplicity to banking. Our Intelligent Foundations and Experiences (IFX) team is central to this vision, building and deploying proprietary AI solutions that deliver value to millions of customers. You will partner with cross-functional teams to deliver AI-powered products, design, develop, test, deploy, and support AI software components, and leverage a broad stack of Open Source and SaaS AI technologies. You will invent and introduce state-of-the-art foundation model optimization techniques to improve the performance of large-scale production AI systems and contribute to the technical vision and roadmap of foundational AI systems.

$230k - $262k

Athelas

Commure is seeking a Senior Software Engineer to join their team in Rio de Janeiro, Brazil, to help build and scale their RCM Email Agents. These agents are designed to understand, process, and act upon the high volume of operational emails faced by healthcare revenue cycle teams, automating tasks like claim and payment inquiries, enrollment, and customer support. The role involves owning these systems end-to-end, from agent harnesses and backend APIs to data models, operator interfaces, evaluations, and production infrastructure. You will collaborate closely with engineers and RCM operators to transform complex workflows into reliable, scalable agents, working across the full stack to deliver production outcomes.

$40k - $93k

Egen

As a Senior AI Engineer, you will be at the forefront of our Generative AI initiatives, treating AI as a software engineering discipline. You will be responsible for the full lifecycle of our AI features, taking them from initial prototype to robust, scalable production services, while solving for real-world constraints like latency, error handling, and cost optimization. You’ll collaborate with a diverse range of clients to translate business needs into high-performance AI architectures. This role requires a blend of deep technical expertise in LLMs and a disciplined Software Engineering approach to ensure our solutions are robust, ethical, and scalable.

$159k - $219k

Cloudflare

Cloudflare's Emerging Technologies & Incubation (ETI) team is seeking an Engineering Manager to lead the engineering efforts for Agentic Commerce. This role focuses on building the infrastructure that enables machine-to-machine payments and monetization, a key component of the "Agentic Internet" vision. The team is developing tools to manage how AI agents pay for resources across the web, bridging traditional commerce with decentralized protocols for micro-payments at internet scale. This is a management position for a technically credible leader who can guide a team in solving complex problems related to high-throughput web infrastructure, low-latency transaction processing, digital wallets, and emerging agentic payment protocols.

€74k - €93k

OpenAI

We are seeking a technically proficient, business-minded Applied AI Engineer to help push the frontier of advanced AI with our strategic startup customers. You'll work with some of the most exciting AI startups in the world, guiding them through ideation, development, delivery, and scaling to accelerate and maximize the value of what they build on our platform. You will have the opportunity to work on the most novel and creative use cases being built on our API, serving as a critical partner in collecting and delivering high-fidelity product and model feedback internally. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product teams.

Asana

We are seeking a Staff Software Engineer to focus on data querying and access control. This role is critical as it sits at the intersection of data retrieval and security, ensuring that every data read in Asana is both accurate and fast. You will be instrumental in maintaining these guarantees as our largest customers expand their data domains, develop more complex permission structures, and as AI agents become a significant new type of user accessing our systems. The Query and Access Control team is responsible for the query execution path over the Work Graph and its governing permissioning model. As a staff engineer, you will tackle our most challenging technical problems, driving initiatives that span multiple teams and influencing design decisions for years to come. You will collaborate closely with other core infrastructure teams to uphold customer trust in Asana as their platform for critical workflows.

Salesforce is seeking a Senior Data Engineer to join their AI & Data team in Mexico City. This role involves designing, building, and optimizing scalable data pipelines and models that power analytics, AI, and business insights. You will work with modern data platforms and leverage AI-native development tools and agentic workflows to enhance development speed, validation rigor, and data product reliability. The position focuses on building and maintaining automated pipelines, integrating data from various systems, ensuring data accuracy and consistency, and partnering with cross-functional teams to deliver production-ready data products. A key aspect of the role includes building agentic workflows for ETL, QA, anomaly detection, and pipeline remediation, along with designing verification patterns for agent output.

The Local AI Inference team is seeking a Senior System Software Engineer to lead the development of robust system-level software and infrastructure for deploying, benchmarking, and qualifying high-quality AI applications and models across Linux and Windows systems powered by RTX and DGX-class GPUs. You will partner with inference engineers, model developers, and AI application teams to build reliable, scalable infrastructure that enables reproducible evaluation and improves local AI performance. Using AI tools and developing autonomous agents, you will accelerate infrastructure development, automate operations, and help engineers diagnose complex system issues.

Mastercard is seeking a Lead Engineer to design and deliver scalable, enterprise-grade AI solutions that enhance our digital capabilities and customer experiences. This role will focus on building intelligent, production-ready systems leveraging large language models (LLMs), knowledge bases with vector search, and modern cloud/data platforms, while ensuring alignment with Mastercard’s standards for security, performance, and reliability. The Program Modernization team drives transformation and champions modernization across technology, risk, and service operations, establishing the foundation for scalable programs, resilient systems, and control governance.

We are seeking a tech leader to join our Chief Data & Analytics Office (CDAO) AI/ML Data Platforms Team. In this role, you will provide deep engineering expertise and collaborate across agile teams to enhance, build, and deliver market-leading technology products securely, stably, and scalably. You will leverage your expertise to challenge the status quo, innovate for business impact, lead strategic development of new and existing products, and stay at the forefront of industry trends and technological advancements.

Egen

We are seeking a Principal Data Architect to lead the design and implementation of scalable Data Lakehouse solutions across Google Cloud Platform (GCP) and Microsoft Azure. This role involves architecting automated, agent-driven data pipelines for complex migrations from on-premises systems to the cloud, and collaborating directly with clients to understand their needs and translate them into robust architectural blueprints. You will manage the customer technical backlog, define technical roadmaps, and ensure alignment with business goals. The position requires a blend of strategic architecture discussions and hands-on solutioning, including prototyping and performance tuning.

NVIDIA is seeking a Senior AI Agent Test Development Engineer to leverage and develop AI-powered tools to enhance software testing efficiency and effectiveness. This role involves improving various aspects of the testing process, including test case generation, defect detection, flaky test analysis, regression testing, and test coverage optimization. You will collaborate with product and engineering teams to define test strategies, build test plans, design and execute test cases, and report on quality status and risks. The position requires performing a range of testing types for cloud-native systems and automating test cases within scalable test frameworks, while also managing the bug lifecycle and verifying fixes.

NVIDIA is seeking a Senior AI Infrastructure Test Development Engineer to join a mission of crafting distributed technology for managing tens of thousands of resources across NVIDIA teams. This role focuses on enabling engineers to concentrate on development and automation by simplifying operational tasks. The engineer will be responsible for creating test plans, execution, and reporting, alongside developing scripts for test automation, designing QA tools, and creating integration tests. The ideal candidate will leverage AI development tools to enhance quality and productivity throughout the QA workflow, including test automation, code generation, and debugging.

NVIDIA's Performance Lab (PerfLab) is seeking a System Software Architect to define the technical direction for platforms that evaluate the performance and quality of accelerated computing workloads. This role involves building platform components, leading projects from discovery to deployment, and collaborating with global NVIDIA teams to improve how AI performance is measured and understood. The architect will shape the future of large language models, agentic AI, and emerging HPC and AI workloads.

Join our multidisciplinary team to build and improve GPU and CPU accelerated data processing software libraries that power AI, data analytics, image processing, computer vision, and scientific simulations for leading organizations worldwide. In this role, you will design, develop, and optimize pioneering algorithms, contributing to the technical roadmaps of libraries and providing technical leadership. We are looking for individuals with experience in accelerated computing and a passion for advancing the state-of-the-art in various computing domains.

Parloa

Parloa is at the forefront of a new era in customer experience, powered by agentic AI. We aim to make every customer conversation effortless and meaningful. As a Manager, Forward Deployed Engineering, you will lead a high-impact team responsible for strategic enterprise AI deployments. Your mission is to ensure consistent deployment excellence, predictable delivery, strong engineering quality, and rapid unblocking within complex enterprise environments, while maintaining your own technical credibility.

Salesforce is seeking a Senior Offensive AI Security Researcher to lead novel adversarial research across its AI ecosystem. This role focuses on uncovering critical and systemic vulnerabilities before they can be exploited, going beyond individual bug finding to scope, design, and execute advanced research into emerging AI threat vectors. The researcher will combine academic insights with practical offensive methodologies to establish new TTPs targeting complex AI paradigms, including prompt injection, tool abuse, RAG system poisoning, data extraction, and model/data supply chain compromises. You will act as a trusted partner to engineering and architecture teams, providing an offensive security perspective to shape threat models, guide AI architecture decisions, support corporate governance, and contribute to Salesforce’s Generative AI Security Standard.

Decagon

Decagon is a leading conversational AI platform that empowers brands to deliver exceptional customer experiences through AI agents. Our technology enables enterprises to deploy personalized and satisfying interactions across various channels. We are building a future where customer experiences are redefined, moving beyond traditional support to foster faster resolutions, richer conversations, and deeper relationships. The Product Engineering team at Decagon is responsible for building the platform that allows customers to create, operate, and enhance their AI agents, transforming complex engineering tasks into user-friendly product features. This team is crucial for scaling Decagon's impact, with the frameworks they build supporting every agent in production, ensuring reliability and robustness across diverse workflows and constraints. They also build agents directly, using production failures as opportunities to create guardrails, evaluations, and tooling that improve the platform universally.

$200k - $400k

Decagon

Decagon is seeking a Senior Software Engineer to join the Product Engineering team. This team is responsible for building the core platform that enables customers to create, operate, and improve their AI agents. You will design and build systems that allow customers to configure, train, test, and monitor sophisticated AI agents with confidence, translating complex technical capabilities into simple, usable interfaces. You will own features end-to-end, from technical architecture through deployment and iteration, working closely with product and design to understand customer use cases and ensure the right solutions are built. This role involves building self-serve functionality, designing configuration abstractions, creating AI-powered tooling for agent workflows, and developing monitoring and analytics for agent performance.

$200k - $400k

OpenAI

Dots is building personal AI agents designed to help users make progress on their goals, even when they are not actively using tools like ChatGPT. These agents are capable of learning user preferences, maintaining context across interactions, operating across different applications, and utilizing cloud computing resources to perform tasks. The team combines product engineering, design, and research to transform advanced AI model capabilities into practical, everyday user experiences. Engineers on this team play a crucial role in shaping both the product itself and the underlying systems, from initial prototyping through to launch and ongoing iteration. This role focuses on building the product experiences for Dots, from the user interface to the backend services that power them, helping to define how users delegate tasks to their personal agents, monitor progress, and collaborate with them over time. It involves hands-on product development and the systems engineering required to ensure persistent, asynchronous agent experiences are reliable.

$347k - $385k

Crusoe

We are seeking a Senior Enterprise AI Automation Engineer to play a key role in executing Crusoe's 2026 Enterprise AI Strategy. In this role, you will design and build agentic AI systems that move the organization from simple information retrieval to orchestrated, multi-system automation. You'll operate at the intersection of AI, enterprise systems, and integration platforms—building scalable agent workflows, enabling a citizen developer ecosystem, and establishing the technical foundations for an AI-powered operating model.

$145k - $170k

Join us in building resilient, scalable solutions that enable better decisions for merchants and internal business partners around the world. As a Director of Software Engineering at JPMorgan Chase within Commercial & Investment Bank’s Merchant Services Data and Reporting organization, you will lead the strategy, engineering, and operation of large-scale data platforms and products. This role requires an execution-focused technology leader who can translate business priorities into measurable outcomes, operate complex data ecosystems with disciplined controls, maintain production stability, and scale the platform as Merchant Services expands into markets outside the United States.