Senior AI Engineering Jobs

Mastercard's Operational Intelligence team is developing advanced data products and AI solutions to provide customers with novel ways to access and utilize operational insights. As AI agents transition from proof-of-concept to production, their real-time behavior, including context retrieval, skill selection, and exception handling, continuously evolves. These agents learn from production outcomes, necessitating active management of their reliability, safety, and trustworthiness beyond simple monitoring. This is the domain of AI Ops: ensuring agents' reasoning remains accurate, their context is up-to-date, and their behavior is governed as they learn.

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Salesforce is seeking a Principal AI Architect to act as a senior, hands-on technical leader and trusted advisor to customers. This role involves designing, validating, and operationalizing enterprise-grade data and AI architectures, primarily focused on Salesforce D360 and the Agentforce platform. You will guide customers through emerging AI solutions, working closely with sales and product teams to ensure they realize the full value of the platform by designing scalable, secure solutions that integrate with complex enterprise ecosystems. The position requires a deep understanding of data engineering, platform architecture, and applied AI, with a focus on driving innovation and customer success in the agentic era.

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As a Lead Software Engineer within Corporate Technology, you will be a key technical leader responsible for designing, building, and delivering secure, scalable, and high-performing technology solutions. You will contribute across multiple domains, partnering with business and technology stakeholders to deliver strategic platforms that enable the firm’s objectives. This role involves leading the design, development, and delivery of innovative software solutions, building and maintaining high-quality, secure, and production-grade code, and driving architecture decisions to ensure scalability, resiliency, and zero-downtime deployments. You will also identify opportunities to automate operational processes and develop and implement data-intensive and statistical solutions using Java/Scala on large-scale datasets.

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Wayve is building the leading AI platform for autonomous driving, pioneering an end-to-end AI approach that enables vehicles to learn directly from real-world experience. As a Senior Software Engineer, Data, you will join a high-autonomy team focused on building Wayve’s Data Transfer Hub. This mission-critical infrastructure is designed to transfer petabytes of sensor data daily from global partners, forming the data foundations essential for large-scale AI model training. You will work with partners such as Uber, Stellantis, and Nissan, contributing to the core systems that power autonomous vehicles.

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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.

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We are seeking a Lead Software Engineer to join a small, specialist team responsible for creating horizontal capabilities, including reusable APIs, libraries, reference architectures, and practical enablement that accelerates delivery across key products and platforms. In this role, you will collaborate closely with engineering teams across our group to develop priority use cases, design and build services, and promote best practices for scalable, resilient, and secure AI adoption. You will also mentor engineers, contribute to firmwide standards and thought leadership, and help ensure the organization stays at the forefront of AI engineering advancements. Your deep experience of developing and deploying software to production in enterprise environments will be key to enabling our AI strategy, combining practical expertise with AI/ML knowledge to ensure our systems are secure, compliant and performant.

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Put your data science and AI expertise to work on challenges that strengthen a global firm and create real-world impact. You will help design and deliver transformative AI and advanced analytics solutions that can be adopted at scale. You will collaborate closely with Product, Engineering, and business partners in a team that values experimentation, delivery, and continuous learning. If you enjoy turning ideas into resilient products and improving how models perform over time, this role offers meaningful growth and visibility. As an Associate, Data Science in the Data Science team within Risk Management and Compliance, you will explore, pilot, and implement impactful AI solutions in partnership with Product, Engineering, and lines of business. You will help build scalable internal tools that integrate into business operations and support effective model management. You will contribute to a culture of experimentation and operational excellence where your ideas are encouraged. You will collaborate with stakeholders to ensure solutions deliver measurable value and become embedded into workflows for lasting impact.

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Databricks

The AI Forward Deployed Engineering (AI FDE) team is a specialized customer-facing AI team focused on delivering professional services to help customers build and productionize AI applications. This role involves working cross-functionally with engineering, product, and developer relations teams, and supporting internal subject matter experts. The ideal candidate is passionate about working with customers and teammates, and staying curious about the latest trends in GenAI, LLMOps, and ML.

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Databricks

The AI Forward Deployed Engineering (AI FDE) team is a specialized customer-facing AI team focused on helping customers build and productionize AI applications. This role involves working cross-functionally with engineering, product, and developer relations teams, and supporting internal subject matter experts. The ideal candidate is passionate about working with customers, collaborating with teammates, and staying current with GenAI, LLMOps, and broader ML trends.

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Our Branch Network Modeling team develops advanced analytics and machine learning solutions that inform high-impact decisions across physical location strategy and field workforce effectiveness. As an Applied AI Modeling Senior Associate, you will build advanced artificial intelligence (AI) and machine learning (ML) models that directly shape high-stakes decisions impacting Chase’s branch network and the bankers who serve our customers. Your models will help optimize our branch network, using geospatial AI and graph-based models to determine where Chase should invest, grow, or reposition its physical footprint, or will empower our bankers in the field to serve our customers using techniques like reinforcement learning and behavioral science.

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Wayve is building the leading AI platform for autonomous driving, pioneering an end-to-end AI approach that enables vehicles to learn directly from real-world experience. This role focuses on advancing reinforcement learning methods for end-to-end driving models, identifying opportunities where learning from reward or feedback can improve beyond behavior cloning. You will take promising ideas from design through large-scale experiments, rigorous evaluation, and integration into their best driving models, contributing to the development of embodied intelligence that moves real vehicles safely.

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We are a dedicated research lab focused on building, understanding, using, and risk-managing foundation models. Our mission is to advance AI research, cultivate the next generation of AI builders, and make significant contributions to a knowledge-driven economy. As part of our team, you will work on the core of cutting-edge foundation model training alongside world-class researchers, data scientists, and engineers. You will tackle fundamental and impactful challenges in AI development, contributing to groundbreaking AI solutions that have the potential to reshape industries. Strategic and innovative problem-solving skills are essential for establishing our institution as a global hub for high-performance computing in deep learning.

$150k - $450k

Runpod

Runpod is seeking a systems-focused Cloud Infrastructure Security Engineer to safeguard its bare-metal and virtualized GPU cloud infrastructure. This role is crucial for ensuring the security, multi-tenant isolation, and integrity of the underlying GPU cloud infrastructure. The ideal candidate will have deep knowledge of Linux systems, kernel internals, hypervisors, and containerization, focusing on preventing tenant breakouts, securing GPU hardware, and building resilient infrastructure for AI and machine learning workloads. You will operate with an attacker's mindset, identifying and patching vulnerabilities at the lowest levels of the stack.

$152k - $175k

Credal.ai

Credal is seeking a founding web full-stack software engineer to help build a scalable, performant architecture while maintaining industry-leading security. This role involves owning aspects of stability, scalability, and security, ensuring reliable syncing of billions of records, and contributing to architecture and code quality. You will engage directly with customers to solve complex problems, mentor junior engineers, and take end-to-end ownership of core products. The ideal candidate is a versatile software engineer comfortable across the full stack, excited about Agentic AI/LLM applications, and possesses strong software engineering fundamentals.

$190k - $250k

Ironclad is building AI solutions on a massive scale, focusing on the critical domain of enterprise contracts. The Intelligence Platform team specifically owns Agent Assistant, Conversational Search, and Content Understanding, which are core AI capabilities enabling customers and AI agents to effectively interact with contract data. This role involves owning the architecture that integrates Large Language Models (LLMs) with retrieval systems to address complex questions about customer contracts. You will be instrumental in setting technical direction, partnering with product and science leaders, and driving improvements in search quality through rigorous evaluation.

$188k - $270k

Salesforce Enterprise Security is seeking an Enterprise Application Security Engineer for their Secure AI team. In this role, you will collaborate with business stakeholders and technology partners to ensure AI tooling meets Salesforce's security requirements as AI is deployed at scale. You will have the opportunity to identify emerging threats, design processes that balance security and business agility, and share your knowledge through internal events, conferences, and research.

$149k - $260k

General Motors (GM) is driving the future of mobility with advanced self-driving and electric vehicle technologies. The AV ML Infra team builds ML infrastructure to support AI and ML innovation across various teams, enabling scalable ML experimentation and enhancing ML engineer productivity. This Principal AI/ML Engineer role will lead the AV ML Infra team, shaping long-term vision and execution strategies for GM's AI and ML efforts. The focus is on developing infrastructure products that empower teams to perform machine learning and data science at scale, rather than applying ML models for specific tasks.

$276k - $341k

Capital One is seeking an Applied Researcher to join the AI Foundations team, focusing on LLM customization and finetuning. This role involves partnering with cross-functional teams to deliver AI-powered products, leveraging technologies like Pytorch and Huggingface to analyze large datasets. You will be instrumental in building AI foundation models through all development phases, from design to implementation, and engaging in applied research to advance customer experiences. The position requires translating complex work into tangible business goals and collaborating with senior researchers on technical reports and conference submissions.

$219k - $250k

We are seeking a Senior Software Engineer to join our team focused on enabling CUDA Math Libraries on new and specialized platforms. This role is crucial for ensuring that NVIDIA's math libraries deliver high functionality and performance across a wide range of targets, supporting the AI, data analytics, and scientific simulation industries. You will be responsible for the integration, functional qualification, compliance, and performance readiness of these libraries on emerging platforms, collaborating closely with core library and devops engineering teams. This is an exciting opportunity to contribute to the forefront of application performance in the AI era.

$152k - $288k

Wayve is building the leading AI platform for autonomous driving, pioneering an end-to-end AI approach that enables vehicles to learn directly from real-world experience. This role is within the Core Model Safety team, which builds foundational capabilities for assisted and automated driving, focusing on collision avoidance, model understanding, and robustness under failure. You will work in a focused, high-impact senior team with strong ownership, access to large-scale training and fleet data, and close partners in research, simulation, evaluation, and applied engineering. As a Senior/Staff Machine Learning Engineer, you will lead the technical direction and delivery of learned emergency manoeuvre prediction and collision detection models. These are rare, high-consequence events that place unusual demands on data, modelling, and validation. You will take the program from problem definition through modelling, evaluation, integration, and evidence for deployment, driving core model safety roadmap themes and owning the full lifecycle from research to offline/online experiments to technology transfer.

$312k - $389k

We are a dedicated research lab focused on building, understanding, using, and risk-managing foundation models. Our mission is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy. As part of our team, you will have the opportunity to work on the core of cutting-edge foundation model training alongside world-class researchers, data scientists, and engineers. You will tackle fundamental and impactful challenges in AI development, participating in the creation of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills are essential for establishing our institution as a global hub for high-performance computing in deep learning.

$150k - $450k

Wayve is building the leading AI platform for autonomous driving, pioneering an end-to-end AI approach that enables vehicles to learn directly from real-world experience. This role is on the Model Foundations team, which builds the geometric vision and 3D foundation models that underpin Wayve's autonomous driving systems. You will work at the intersection of large-scale deep learning, geometric computer vision, and real-world robotics to develop models that learn 3D structure and dynamics from fleet-scale sensor data. As a Principal Engineer, you will be a hands-on technical leader, setting direction for geometric vision, prototyping and training new model architectures, building the data and supervision needed to scale them, and taking successful ideas through to deployment on real vehicles.

$370k - $420k

Wayve is seeking a Robotics Software Engineer to join our Online Calibration team and support scaling across our autonomous vehicle fleet. You will turn calibration and estimation methods into reliable, observable, and resource-efficient components of the on-vehicle runtime. Working across calibration, state estimation, robot software, hardware acceleration, and vehicle-platform teams, you will help shape the architecture and roadmap for a foundational capability that directly affects vehicle performance, resilience, and safety. Your day-to-day will involve developing robust production software for online calibration, operating continuously on constrained, hardware-accelerated platforms, and working with asynchronous sensor data, accelerator-produced features, and noisy, time-varying calibration parameters, balancing correctness, debuggability, and runtime efficiency.

$276k - $294k

Wayve is building the leading AI platform for autonomous driving, pioneering an end-to-end AI approach that enables vehicles to learn directly from real-world experience. This role is within the Search & Indexing team, part of the Compute and Data Platform (AI Platform), responsible for making Wayve's multimodal driving data discoverable. The team builds indexing infrastructure for vector and metadata-based retrieval, powering data curation, training set construction, and ML research. You will be the first hire in this team, based in our Sunnyvale office.

$312k - $351k