Senior AI Engineering Jobs

Mastercard Foundry R&D is seeking a Principal Data Engineer to design and build the data foundations for advanced analytics, machine learning, generative AI, and agentic AI solutions. This role involves transforming R&D objectives into secure, scalable, and production-ready data systems, collaborating with cross-functional teams to create reusable data capabilities that accelerate innovation. You will be a hands-on technical leader responsible for the architecture, design, and engineering of scalable data platforms, ensuring reliability, performance, and cost efficiency.

Salary not listed

Capital One is building responsible and reliable AI systems to transform banking. Leveraging extensive experience in machine learning and technology infrastructure, the company aims to be at the forefront of enterprise AI adoption. This role is part of 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 a responsible and scalable manner.

$197k - $225k

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. The IFX team advances the state of the art in AI science and engineering, building and deploying proprietary solutions that are critical to the business and impact millions of customers. You will help bring the transformative power of emerging AI capabilities to reimagine banking services.

$230k - $262k

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer within the Consumer and Community Banking - Deposits 2.0 team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Salary not listed

Databricks

Databricks is transforming how it builds and operates People Technology, moving from traditional SaaS configuration toward an AI-native, agentic stack. You will be the technical anchor of the People Tech pod, driving the architectural shift from workflow automation to autonomous, multi-agent systems that power HR, recruiting, workforce analytics, and employee experience at scale. This is a rare opportunity to reimagine a critical enterprise domain from the ground up using the very data and AI platform Databricks sells to the world.

$192k - $260k

Roboflow

Roboflow Labs is seeking a Research Scientist to join their applied research unit. This role sits at the intersection of benchmarks, models, and frontier labs, focusing on failure analysis, dataset specification, and validation of data quality. The scientist will contribute to publishing new benchmarks, extending existing ones like RF100-VL, and shaping the research agenda with work grounded in real-world deployments. This position offers the opportunity to see research directly translate into shipped data products and influence the direction of AI development.

$250k - $450k

We are seeking an Engineering Manager for AI/ML to lead Rula's AI Engineering team, focusing on both applied product capabilities and foundational ML platforms. This role involves guiding senior and staff engineers to deliver user-facing features like transcript summarization and search relevance, while also architecting core AI/ML infrastructure such as feature stores and AI observability platforms. The ideal candidate will balance execution speed, strong coaching, and a rigorous sense of clinical safety to ensure solutions and models scale effectively and safely. You will be instrumental in shaping Rula's AI engineering culture and driving technological advancements that transform mental healthcare delivery.

$208k - $260k

Applied Intuition

The Axion Data team at Applied Intuition is building the data engine to train perception models. This role involves working on both the edge application that runs perception stacks and the cloud data engine that ingests video data for model improvement. The goal is to optimize model performance on edge and cloud, and build MLOps tooling for pipeline visibility. This position offers an opportunity to own and impact a new product team within a rapidly growing company.

$200k - $275k

EnCharge AI is seeking a highly skilled and experienced AI Compiler Engineer to spearhead the development and optimization of graph compilers tailored for cutting-edge AI and ML workloads. This role involves collaborating with hardware architects and AI researchers to enhance performance, optimize computation graphs, and enable efficient model deployment on EnCharge's Inference Accelerators. The ideal candidate will architect, design, and implement optimizations for AI model execution on graph compilers to improve performance, reduce latency, and maximize hardware utilization.

$190k - $255k

Anthropic

The Safeguards ML Infra team is responsible for designing, building, and operating the production infrastructure that powers Claude's safety systems. This role is central to ensuring safeguards are properly configured and deployed for model launches, and owning the off-cycle deployment of new safety classifiers. The team ensures safety on the token generation path and manages the operational aspects of deploying these systems into production, including standing up safeguards for new model launches and deploying new safety classifiers. Every frontier model release goes through this team, which configures, verifies, and rolls out safeguards across all Claude platforms and leads incident response when issues arise. The goal is to automate manual checks into continuous validation and evolve launch runbooks into robust tooling.

$320k - $485k

Amplitude

Join the engineering team that builds the AI-native apps, agents, and tools that power Amplitude's internal operations. This is an AI-first, full-stack software engineering role where you will leverage your expertise in frontier AI technologies to drive continuous improvements in both the systems you build and the way you build them. Your work will have a significant business impact across critical functions like Finance, People Ops, Product Ops, Legal, and HR, by designing and building internal applications, data products, automations, and integrations.

$198k - $299k

At Capital One, we are building responsible and reliable AI systems to transform banking. We are an industry leader in using machine learning for personalized customer experiences and are at the forefront of enterprise AI adoption. Our AI applications bring humanity and simplicity to banking, from fraud detection to real-time customer support. We are committed to advancing applied science and engineering to deliver breakthrough products and scalable AI infrastructure, reimagining how we serve customers and businesses with emerging AI capabilities.

$230k - $262k

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. Those in data science and machine learning engineering will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualizations to solve complex business problems. As part of the Data and Analytics Engineering team, you will develop and implement AI solutions that enhance product offerings. As a Senior Associate, you will analyze complex problems, mentor junior team members, and maintain elevated professional standards while building meaningful client relationships.

$55k - $151k

Join a team applying modern artificial intelligence and machine learning to high-impact, high-scale payments workflows. You will work with large datasets and complex operational processes to deliver measurable outcomes, building production-grade solutions spanning natural language processing, document understanding, and LLM-enabled applications. You will collaborate closely with business and technology partners to take ideas from concept to deployment, while also raising engineering standards and mentoring others. As a Vice President in the Wholesale Payments Operations team, you will build and deliver enterprise AI/ML solutions that improve operational efficiency and decisioning, partnering with senior stakeholders to frame problems, define success metrics, and plan roadmaps. You will design, implement, and deploy production services on Amazon Web Services (AWS) with strong engineering rigor, establishing model governance, monitoring, and responsible AI practices. The role focuses on building scalable AI/ML capabilities for operations use cases, including document processing and workflow automation, contributing to reusable platforms and patterns.

Salary not listed

Applied Intuition

Applied Intuition is seeking a Software Engineer to join their team and contribute to powering the future of physical AI. This role involves constructing optimized data pipelines for ML models and evolving the data engine architecture to scale high-fidelity labels, reduce annotation costs, and accelerate ML iteration cycles. You will also integrate foundation models like LLMs and VLMs to automate and enhance labeling, quality assurance, and data discovery, while leveraging software-in-the-loop and hardware-in-the-loop testing. Additionally, you will interact with customers to understand their use cases and triage needs during field events.

$200k - $275k

Hugging Face is seeking a Senior Open-Source Python Engineer to join their Applications team. This role focuses on building and maintaining tooling that empowers developers to create machine learning applications using Hugging Face's platform primitives. You will be instrumental in shaping the future of libraries like Gradio, Trackio, and FastRTC, taking projects from early stages to widespread adoption. This is a dynamic role for someone comfortable with evolving challenges and passionate about making machine learning accessible to a broad audience.

Salary not listed

Join JPMorganChase's Machine Learning Center of Excellence as a Lead Software Engineer, contributing to the Artificial Intelligence and Machine Learning Data Platforms team. You will be a key member of an agile team, responsible for designing and delivering market-leading technology products securely, stably, and at scale. This role involves implementing critical technology solutions across various technical areas to support business objectives, collaborating with experts in machine learning, deep learning, and reinforcement learning.

Salary not listed

Capital One is seeking an Applied Researcher to join the AI Foundations team, focusing on LLM, Optimization, and Finetuning. This role involves partnering with cross-functional teams to deliver AI-powered products that enhance customer interactions with their money. You will leverage a broad stack of technologies, including Pytorch, AWS Ultraclusters, Huggingface, and Lightning, to analyze vast amounts of data and build AI foundation models through all phases of development. The position offers the opportunity to engage in high-impact applied research, pushing the boundaries of AI for next-generation customer experiences and translating complex work into tangible business goals. Collaboration with senior researchers for tech reports and conference submissions is also a key aspect of the role.

$219k - $250k

Join a fast-moving technology team building a business observability platform for the Payments business. This platform serves as an analytics foundation enabling AI-assisted decision-making for senior leaders and real-time monitoring and alerting for operations teams. The role will contribute to delivering intraday transaction insights, anomaly detection, forecasting, and conversational analytics, all supported by a governed metrics foundation. As a Data Scientist Senior Associate, you will be responsible for the analytical integrity of the team's deliverables, validating data behind key metrics, defining model correctness, and ensuring the trustworthiness of anomaly detection and forecasting outputs in production. You will collaborate closely with product, engineering, and design teams to influence the product roadmap and effectively communicate value to stakeholders.

Salary not listed

Capital One is seeking passionate Full-stack Software Engineers to join the People Tech team, driving a major transformation by leveraging cutting-edge open-source frameworks and emerging technologies. The People Tech team focuses on the digital transformation and operational excellence of Capital One’s corporate functions, innovating and transforming the Human Experience with robust technical solutions for HR, Legal, Brand, and Global Workplace Services. This role will be at the forefront of architecting and building enterprise-scale LLM-driven capabilities and autonomous agentic AI solutions to optimize HR processes and elevate the global associate experience.

$179k - $205k

Databricks

As a staff software engineer for GenAI inference, you will lead the architecture, development, and optimization of the inference engine that powers Databricks Foundation Model API. You’ll bridge research advances and production demands, ensuring high throughput, low latency, and robust scaling. Your work will encompass the full GenAI inference stack: kernels, runtimes, orchestration, memory, and integration with frameworks and orchestration systems.

$191k - $233k

Databricks

Databricks is seeking a Staff Software Engineer, Fullstack to join a new, nimble team in their NYC office. This role will be instrumental in building new AI products from the ground up, leveraging Databricks' data and AI infrastructure to create vertical AI applications for both technical and business users. This is a unique opportunity to experience a 0-to-1 environment, combining startup excitement with the resources of a leading tech company.

$191k - $254k

Databricks

Databricks is seeking a Staff Software Engineer to architect and deliver the company's AI-native vertical workflow platform, Customer Experience Intelligence (CXI). This platform is designed to orchestrate AI agents, humans, and enterprise tools into end-to-end operational workflows, initially focusing on customer support and expanding to domains like IT, Security, Legal, and Marketing. The role involves building a scalable, multi-tenant agent platform with a strong emphasis on reliability, observability, and enterprise-grade features.

$164k - $226k

Databricks

Databricks is seeking a Staff Technical Lead for Customer Experience Intelligence (CXI) to architect and deliver an AI-native vertical workflow platform. This platform will orchestrate AI agents, humans, and enterprise tools into end-to-end operational workflows, initially focusing on customer support and expanding to other domains like IT, Security, Legal, and Marketing. The role involves driving rapid backend development with a focus on quality, safety, and reliability, designing state-machine and agentic workflows, and implementing robust observability and rollback mechanisms for AI-driven decisions. The Technical Lead will also act as a liaison between CXI, Product, Platform Engineering, and business stakeholders, while mentoring engineers and subject matter experts.

$190k - $261k