Senior AI Engineering Jobs

As a CTIO - AI Engineer- Senior Manager within the Internal Firm Services practice, you will be instrumental in transforming raw data into actionable insights to drive informed decision-making and business growth. This role focuses on leveraging advanced analytics and statistical techniques to extract insights from large datasets. You will apply sound judgment, motivate and coach teams to solve complex problems, and develop diverse and inclusive teams. The role involves exploratory and descriptive analysis, statistical modeling, and creating data visualizations to address complex business challenges and inform strategic decisions. You will craft clear, impactful messages, apply systems thinking to identify underlying problems and opportunities, and validate outcomes with clients, acting on their feedback. You will also direct teams through complexity and maintain composure in challenging situations, while continuously deepening your skills to stay relevant.

$91k - $322k

ClickHouse

ClickHouse is a rapidly growing cloud company specializing in real-time analytics, data warehousing, observability, and AI workloads. The AI/ML Engineering team is responsible for building and operating the company's AI and machine learning products end-to-end, including the Agentic Data Stack, AI Functions, and in-console copilot. We are seeking experienced software engineers to design, build, and operate these cutting-edge AI products, making ClickHouse the platform of choice for agents and data scientists.

$150k - $238k

Datadog

As a Staff Research Scientist within Datadog AI Research (DAIR), you will drive research in foundation models and world models as a hands-on individual contributor. You will advance large-scale pre-training and multimodal learning across the diverse signals generated by distributed systems, including metrics, traces, logs, topology, and events. You will set the technical direction for ambitious research programs, raise the technical bar for the researchers and research engineers around you, and collaborate with Datadog's product and engineering teams to translate research advances into products.

$320k - $400k

As a Lead Software Engineer within Commercial & Community Banking, you will be a core technical contributor responsible for enhancing, building, and delivering trusted market-leading technology products in a secure, stable, and scalable way. You will drive the design and development of creative full-stack software solutions, including building and implementing AI-driven capabilities such as LLM-based services and integrations into business workflows. A key aspect of this role involves driving team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while also architecting and delivering cloud-native microservices and APIs.

Metriport is revolutionizing US healthcare by solving the critical problem of medical data exchange. We transform unusable raw data from legacy systems into a clean, unified format that care teams and their agents can use to improve patient outcomes. Our technology enables rapid data retrieval, providing clinicians with complete patient histories instantly, which can lead to earlier diagnosis and treatment. We are a technology company building every layer of our platform, from data connection and transformation to generating insights, aiming to become the essential infrastructure for US healthcare. Having secured significant funding and achieved product-market fit with millions in ARR and over 100 customers, we are poised for substantial growth.

$200k - $260k

As a CTIO - AI Architect - Senior Manager, you will design and implement innovative technology solutions to meet clients' business needs within our Internal Firm Services practice. You will leverage your experience in analyzing requirements and developing technical designs to enable the successful delivery of solutions. As a Senior Manager, you will lead large projects and innovate processes, focusing on achieving results and maintaining operational excellence. You will interact with clients at a strategic level, driving overall project success by applying sound judgment and recognizing when to take action or escalate issues. In this role, you will motivate and coach teams to solve complex problems, fostering a culture of continuous improvement and innovation. You will craft and convey clear, impactful messages that tell a holistic story, applying systems thinking to identify underlying problems and opportunities. Your ability to develop and sustain high-performing, diverse, and inclusive teams, along with your commitment to excellence, will contribute to the success of our firm.

$91k - $322k

Capital One is seeking an 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 enhance how associates work and customers interact with Capital One. You will design, develop, test, deploy, and support AI software components, including foundation model training, LLM inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, and more. The position requires leveraging a broad stack of Open Source and SaaS AI technologies and inventing 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, design and optimize multi-model orchestration pipelines, and establish cost-performance governance for AI systems.

$230k - $262k

Salesforce is seeking a Core Technical Architect to act as a pre-sales, customer-facing expert. This role involves applying broad technical skills and business acumen to align Salesforce solutions with customer digital transformation and cloud adoption strategies. You will be an integral part of the sales cycle, supporting Proofs of Concept and technical deep dives into our AI and Data products, ensuring optimal matching of our solutions to customer challenges.

$148k - $269k

Capital One is building responsible and reliable AI systems to transform banking. Leveraging extensive experience in machine learning and technology infrastructure, the company is at the forefront of enterprise AI adoption. This role is within the Intelligent Foundations and Experiences (IFX) team, which is central to bringing the company's AI vision to life. The team partners across the company to advance AI science and engineering, building and deploying proprietary solutions that deliver value to millions of customers and empower other teams with AI capabilities in responsible and scalable ways.

$230k - $262k

Stripe

The Radar ML team builds the fraud detection models that protect Stripe's $1.9 trillion payment network from fraud. The team owns over 10 real-time deep learning models that must constantly evolve to stay ahead of fraudsters. Each ML improvement translates directly into dollar impact for Stripe and its users. The team's models also power the Radar product suite that tens of thousands of businesses use to screen payments and manage fraud. In this role, you will own ML work across the full lifecycle: researching new fraud patterns, building and deploying models, and sharing results directly with top Stripe customers. You will have opportunities to optimize Stripe’s most intensive ML models, and opportunities to ship 0-to-1 products from scratch.

ClickHouse

ClickHouse is a fast-growing cloud company specializing in real-time analytics, data warehousing, observability, and AI workloads. The AI/ML Engineering team is responsible for building and operating ClickHouse's AI and machine learning products end-to-end. This includes developing features for the ClickHouse Cloud platform, creating scalable APIs for AI/ML inference, and integrating with the broader AI/ML ecosystem. The team is looking for experienced software engineers to design, build, and operate products that position ClickHouse as a leading platform for agents and data scientists.

Appier is seeking a Machine Learning Scientist (Modeling & Evaluation) to join the Enterprise Solution Science Team. This role focuses on helping enterprises leverage AI to achieve tangible ROI. You will be responsible for the complete development lifecycle of solutions, from initial problem definition through to driving models and solutions into production. This involves designing, developing, and deploying optimization solutions powered by machine learning models and rigorous evaluation techniques to enhance efficiency and quality.

NVIDIA is seeking passionate, highly motivated, and creative engineers to join our Physical Design AI team. In this role, you will combine deep physical design knowledge with modern AI technologies to build intelligent, scalable solutions for our Physical Design Implementation teams. You will work closely with domain experts to understand complex implementation challenges and develop agentic AI solutions that improve productivity, efficiency, and quality across NVIDIA product lines. This position offers the opportunity to make a real impact in a dynamic, technology-focused company whose products span consumer graphics, accelerated computing, self-driving cars, and the rapidly growing field of artificial intelligence.

The Developer Experience team at Moveworks builds platforms that empower developers working on the Moveworks Agentic AI platform. This role is central to owning the technical foundation for the team's output, focusing on designing and building complex platform challenges related to generality, scalability, and extensibility, all while prioritizing the developer experience. The ideal candidate thinks in systems, ships impactful solutions, and effectively collaborates with and influences others.

$191k - $334k

Redwood Research is dedicated to ensuring the safe development of artificial intelligence through rigorous technical research, thoughtful analysis, and strategic advising. As an empirical researcher, you will design and execute experiments on frontier language models. Your work will focus on assessing AI risks and evaluating the effectiveness of safety measures designed to mitigate them.

$350k - $850k

Reducto

Reducto is seeking a Software Engineer for its Platform team to own the infrastructure behind the company's core API. This role involves ensuring document understanding systems are fast, reliable, and cost-efficient at scale. You will work across Python services, queues, model-serving, Kubernetes, observability, and developer tooling to enhance the platform's robustness. This is a high-leverage infrastructure position for someone who has built and operated production systems, prioritizes latency, reliability, and cost, and is adept at using modern LLM coding tools.

$200k - $325k

Crusoe

Crusoe is seeking a Staff Software Engineer specializing in Linux Kernel Security to strengthen the security of their AI cloud infrastructure. This role involves implementing kernel security enhancements, triaging CVEs, securing the boot path, and establishing CI guardrails. You will research vulnerabilities, advocate for secure coding practices, and conduct security-focused code reviews. The position also includes utilizing and developing security auditing tools, supporting incident response, and balancing security with system performance. A key aspect is contributing to the security of Cloud Hypervisor and advancing confidential computing primitives. This role requires close collaboration with other engineering teams and providing technical leadership and mentorship.

$215k - $260k

Percepta

Percepta is seeking an AI Infrastructure Engineer to take ownership of the infrastructure, deployment, and operational reliability for Percepta's AI systems, including autonomous agents. This role involves hardening existing infrastructure, strengthening deployment pipelines, and defining new SRE practices for operating autonomous systems. You will be instrumental in bridging the gap between AI research and production, contributing to the foundational decisions that shape the future of agentic infrastructure.

$180k - $400k

As a Lead Software Engineer within Corporate Technology and the AI/Machine Learning & Automation Center of Excellence, you will drive the scalable adoption of responsible AI and intelligent automation. This involves defining standards, reference architectures, and governance frameworks that various teams can consistently implement. You will influence outcomes across a federated delivery model by enabling reuse, aligning stakeholders, and embedding practical frameworks to improve delivery speed, resiliency, and control adherence.

Applied Intuition

Applied Intuition is seeking a Senior Machine Learning Engineer to advance the core reconstruction technology behind their Neural Simulation product. This role involves transforming real-world driving data into high-fidelity simulation environments, pushing the boundaries of reconstruction quality, scaling data processing, and enhancing product utility for customers training autonomy systems. The engineer will directly influence the development of next-generation autonomous vehicles for major OEMs, working at the intersection of 3D computer vision, graphics, and machine learning to bring cutting-edge research into production and solve complex simulation challenges in Physical AI.

$190k - $260k

Asana

Asana's AI organization is building the platform and products that integrate AI into how teams work. This includes AI Teammates, an orchestration layer for agents, and the AI platform supporting all Asana AI features, covering model access, retrieval, context, evaluation, and production quality. We are seeking a Senior Staff Software Engineer to lead technical direction across this organization, tackling complex cross-team challenges, making critical architectural decisions, and shaping the future of AI within Asana's products. This role involves influencing strategy across multiple engineering teams located in San Francisco, New York, Vancouver, and Warsaw.

$297k - $350k

The Tracking Team at Torc is responsible for developing the ML models, state estimation algorithms, and production software that enable accurate and highly available information about other actors and objects for the safe operation of autonomous trucks. This role involves designing, developing, and deploying production ML models for multi-object tracking, association, pose and kinematic estimation, and sensor fusion using various vehicle sensors. You will also develop scalable training and evaluation workflows, analyze large-scale vehicle data to improve performance, and develop robust production software in C++ and Python. The position requires making technical design and architecture decisions, collaborating with cross-functional teams, and providing technical leadership.

$177k - $213k

Latitude AI, a subsidiary of Ford Motor Company, is developing the future of autonomous driving technology. We are building an in-house developed, hands-free ADAS platform that will debut in 2027. Our team comprises experts in machine learning, robotics, cloud platforms, and more, all dedicated to making transportation safer and more enjoyable. We operate with the agility of a tech startup while leveraging the resources of Ford. The Intelligent Systems team focuses on converting sensor data into understanding through computer vision and machine learning, managing both onboard sensor suites and offboard cloud infrastructure. Scaling our machine learning models with robust data and fast infrastructure is crucial for achieving optimal performance and enabling a safer future of transportation. The Scalable ML team is responsible for the data generation, orchestration, and distributed training infrastructure that empowers our ML developers to work efficiently with large datasets, bridging the gap between ML Platform, Jobs Platform, Cloud Platform, and High Performance Computing.

$253k - $380k

Code Metal

Code Metal is seeking a Staff AI Platform Engineer to architect and build the foundational AI enablement stack that internal engineering teams rely on. This role involves designing and operating production systems for GPU inference serving, model gateways, agent harnesses, context management, and observability. While primarily an engineering role focused on building and operating production systems, it also requires solid data science and AI research fundamentals to work closely with the AI Research team and conduct experiments when necessary. The platform is built to product standards, ensuring reliability and scalability for AI-driven code transpilation, modernization, optimization, modeling, and simulation solutions.

$205k - $250k