Senior AI Engineering Jobs

Stripe

Financial Connections is Stripe's open banking platform, enabling businesses to securely access consumer-permissioned financial data. Our platform connects to thousands of financial institutions, powering use cases from account verification to risk assessment to personal financial management. Across the Financial Connections Engineering org, we focus on delivering high-quality, enriched bank data at scale — building the ML systems that transform raw financial data into actionable signals for both internal Stripe teams and external merchants. Our ML work spans transaction categorization, risk scoring, data enrichment, and the development of intelligent systems that improve data quality across our network. We operate at the intersection of fintech infrastructure and applied machine learning, solving problems that directly impact Stripe's ability to serve millions of businesses and consumers.

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As a Principal AI Performance Engineer, you will define how Graphcore analyzes and optimizes AI training and inference workloads, shaping decisions across hardware, software, networking, and system architecture. You will lead complex performance investigations, from model behavior to multi-node scaling, translating profiling, benchmarking, and modeling evidence into technical roadmaps and engineering priorities. This role offers rare influence across AI infrastructure at data center scale, guiding strategy, resolving tradeoffs, and raising performance-engineering standards across the organization.

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Snorkel AI

Snorkel AI is seeking a Manager, Forward Deployed Engineering to establish and lead the Forward Deployed Engineering (FDE) function within the Data-as-a-Service (DaaS) organization. This role is responsible for the technical execution of DaaS delivery, managing the systems, workflows, and quality frameworks for large-scale dataset production. As a player-coach, you will define strategy and architecture while remaining hands-on with implementation, working at the intersection of data engineering, ML engineering, and production operations to enhance technical delivery capabilities.

$200k - $320k

Stripe

Stripe is seeking a Machine Learning Engineer for its Link Fraud and Auth team. This role involves building and operating models and risk decisioning systems to protect Link while enabling legitimate payments. You will manage the full machine learning lifecycle, from analyzing fraud patterns and identifying opportunities to developing, deploying, monitoring, and improving models in production. Your work will directly impact Link's fraud performance, authorization rates, and expansion into new products and payment experiences, contributing to Stripe's mission to increase the GDP of the internet.

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Snorkel AI

Snorkel AI is seeking a Senior/Staff Forward Deployed Engineer to join their frontier AI data lab. This engineering delivery role involves translating ambiguous customer needs into production-grade data, evaluation, and ML-assisted workflows. You will own the end-to-end AI data pipeline lifecycle, developing and deploying ML-based workflows and building foundations to enhance human-in-the-loop data generation and review. This position operates at the intersection of data science, data engineering, AI engineering, and operations, partnering with the DaaS Delivery Operations team and cross-functional stakeholders to develop technical specifications, design evaluation workflows, and implement quality standards.

$180k - $320k

Stripe

Stripe is seeking product-minded engineers to join the Builder Experience Team, which focuses on improving how Stripe's product teams build, ship, and iterate on products. This team is AI-native and reimagines workflows using AI agents and automation to address fragmented and manual processes. The role involves identifying high-friction areas in the product development lifecycle, prototyping new approaches, and scaling successful experiments into solutions used across Stripe. You will work across the full stack, combining traditional software engineering with emerging AI capabilities to discover the right product, interface, and technical architecture in ambiguous problem spaces.

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Snorkel AI

Snorkel AI is seeking a Forward Deployed Engineer specializing in Synthetic Data Generation to collaborate with leading AI labs and enterprises on critical AI initiatives. In this role, you will spearhead the technical execution of complex customer projects that leverage synthetic data to enhance model training, evaluation, and overall performance. You will be responsible for transforming vague model and data challenges into concrete data strategies, developing robust generation and evaluation pipelines, and utilizing experimentation to continuously improve data quality and downstream model results. Your work will span the entire delivery lifecycle, from initial technical discovery and solution design to implementation, evaluation, and production deployment. Additionally, you will identify common patterns across engagements to develop reusable capabilities, technical standards, and product enhancements.

$180k - $320k

Snorkel AI

Snorkel AI is seeking a Forward Deployed Engineer specializing in Computer Use Agents (CUA) to collaborate with leading AI organizations on their critical agentic AI projects. This role involves leading the technical execution of complex customer engagements focused on agents that interact with computers, browsers, and software to accomplish multi-step tasks. You will translate challenging product and model issues into effective task environments, datasets, and evaluation strategies to enhance agent reliability and overall performance. The position spans the entire delivery lifecycle, from initial technical discovery and solution design to implementation, evaluation, and production deployment. Additionally, you will identify common patterns across projects to develop reusable capabilities, technical standards, and product enhancements.

$180k - $320k

Stripe

The Conversation Platform team is building a comprehensive platform for Stripe merchants, focusing on automating simple tasks and assisting with complex ones. This includes features like customizing landing pages, enabling natural language interaction with the Stripe API, and automating issue resolution. The team is developing Retrieval-Augmented Generation (RAG) systems using the latest Large Language Models (LLMs) and fine-tuning their own models, managing the entire lifecycle from ideation to production deployment.

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Elastic

The Context Engine team builds the knowledge layer that AI agents use to work with enterprise data in Elasticsearch. This layer extracts knowledge from any data sources into a structured AI Index, serves it to agents through public APIs and framework integrations, and closes the loop with agent traces to improve knowledge from real usage. As a Principal AI Engineer, you will own the end-to-end improvement loop of this product, focusing on how agents, automations, and skills behave in production, how they are observed and evaluated, and how changes are shipped safely. This is a hybrid role at the intersection of engineering, data science, and product, where you will write production code, design evaluation and telemetry, and set the technical bar for agentic behavior iteration. You will collaborate with data scientists, backend engineers, product, and UX, and your work will directly impact what customers build on top of Elastic.

€80k - €127k

Algolia is seeking an Engineering Director for AI Search to lead multiple teams or a critical product area within the Engineering team. This role involves translating company strategy into execution, building strong, autonomous teams, and fostering engineering excellence. You will partner closely with Product, Design, and cross-functional stakeholders to shape roadmaps and ensure successful delivery of customer value. The position requires strong AI leadership, driving engineering best practices, and contributing to the senior technology leadership team's strategic guidance.

€115k - €150k

Cohere Health

Cohere Health is transforming prior authorization using AI to improve efficiency, reduce costs, and enhance patient care. This role is on the Clinical Intelligence team, focusing on building impactful healthcare technologies that streamline and optimize the prior authorization process with AI/ML and Advanced Rules Engines. You will contribute to the functional and technical roadmap, support technical design, and drive feature development, testing, and delivery of their cloud platform and web applications. The role involves supporting all parts of the platform, from database to frontend, and performing production support duties. The company is recognized for its innovative AI-native platform and agentic AI-powered solutions, connecting health plans' strategic goals with providers' needs to optimize care speed, cost, and quality.

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As a Senior Software Engineer on the AI Compute Libraries team, you will develop, maintain, and release C++ libraries and runtime APIs that enable engineers to build and execute workloads on Graphcore's AI hardware. Your work will involve designing clear abstractions for low-level hardware capabilities, improving reliability and performance, and supporting developers integrating these libraries into the wider software stack. You will own library changes from design through release and maintenance, ensuring dependable releases with proper packaging, documentation, and fixes. This role requires collaborating with library users to understand requirements, resolve integration issues, and guide API improvements.

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Toast

The IQ Grow team at Toast is focused on scaling high-impact go-to-market initiatives by combining AI agentic solutions with human-in-the-loop workflows. The goal is to deliver personalized marketing experiences that help restaurants build lasting relationships and drive engagement. This role involves pioneering at the intersection of advanced AI and human-centered design, contributing to a fast-moving product space with a focus on engineering leadership, technical excellence, and product mindset for continuous growth.

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Join our GPU Assembler team to build tools that enable the creation of highly performant applications and libraries for HPC, Deep Learning, and Autonomous Driving. You will collaborate with key HPC developers globally to optimize performance and efficiency on current and next-generation NVIDIA GPUs by developing industry-leading Assembler and Code Analysis Tools. This role involves contributing to a core platform component for accelerating general-purpose computation on the GPU. The team's Disassembler (NVDISASM) is widely used by CUDA users for binary analysis, and the Assembler is crucial for optimizing key Deep Learning applications.

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We are seeking a hands-on AI Engineer to design, build, integrate, and support production-grade AI applications powered by LLMs, agentic workflows, RAG, vector search, AI Gateway integrations, and cloud-native Azure services. The role requires strong experience in AI/ML engineering, backend development, prompt and context engineering, orchestration frameworks, and production readiness practices. The engineer will work closely with products, platform, MLOps, security, compliance, and application engineering teams to deliver secure, scalable, observable, and high-quality AI features for enterprise applications.

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DataRobot

DataRobot is seeking a Principal AI Engineer to join our Professional Services team. In this strategic leadership role, you will be an executive advisor, driving the technical vision and successful delivery of complex AI programs for our top-tier customers. You will establish architectural best practices for Agentic AI deployments and ensure solutions translate into measurable business value. This position requires a blend of deep technical expertise, strong software engineering background, and executive-level communication skills, with P&L accountability for large professional service engagements.

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Salesforce AI Research Labs is at the forefront of Generative AI, Natural Language Processing (NLP), and Deep Learning, with a history of pioneering advancements like Einstein GPT, CodeGen, and Moirai. This role is not traditional research; you will act like a founder, identifying high-impact research directions, prototyping cutting-edge AI capabilities, validating ideas with customers, and turning the strongest concepts into production-ready solutions. You'll have the freedom to incubate new ideas, access Salesforce's global customer and product ecosystem, and quickly validate innovations. We seek individuals comfortable with ambiguity, moving with urgency, and caring about customer adoption as much as technical innovation, offering the pace of a startup with the reach of Salesforce.

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The Business & Market Insights (B&MI) team within Mastercard's Services division creates products that help customers understand their market better. The B&MI Data Science team builds models and solutions using Mastercard transaction data and other sources for these products, at a globally scalable level. This role is for a Data Scientist who will work across Product, Client Services & Delivery, Data & Engineering, and broader teams to deliver differentiated products driven by analytics & AI, leveraging rich data resources, AI platform capabilities, and near real-time execution. The role is central to developing new products and capabilities using analytics & AI, from concept and technical design to market release and optimization, driving new ideas forward with creative thought leadership, innovation, and industry best practices.

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Distyl AI

Distyl AI is seeking AI Engineers to join their new London office. In this role, you will work directly with Fortune 500 companies to transform complex workflows using cutting-edge AI, building and shipping real-world AI applications from intelligent agents to full-stack AI products. This is a highly hands-on position where you will collaborate closely with customers, define system architectures, and build reliable, high-impact AI systems from prototype to production. You will also contribute to shaping technical direction and guiding enterprise teams through AI adoption and deployment.

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Join a team where your engineering work accelerates how machine learning is built, governed, and delivered across JPMorgan Chase. You will help create platform capabilities that make it easier for teams to move from ideas to production with confidence. If you enjoy building scalable systems and improving developer experience, this role offers meaningful impact and career growth. As a Lead Software Engineer within the Corporate Artificial Intelligence and Machine Learning Data Platforms team, you will build and enhance products that support the machine learning lifecycle—spanning model operations, data development (such as processing and data annotation), and governance tooling. You will collaborate closely with engineers, system architects, product managers, data scientists, and research partners to deliver reliable, secure, and user-friendly platform services.

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Stripe

Stripe is seeking an Engineering Manager for its newly formed AI Conversation Platform team. This team is focused on building a comprehensive conversation platform for Stripe merchants, aiming to automate simple tasks and assist users with complex ones. This includes features like customizing landing pages, enabling natural language commands for the Stripe API, and automating issue resolution. The team works end-to-end, from ideation to production deployment, utilizing RAG-based systems with the latest LLMs and fine-tuning their own models.

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Graphcore is seeking a Staff Data Engineer to design, build, and operate Python-based web applications, agentic workflows, and supporting data services. This role combines strong data engineering with application development, leveraging AI agents, trusted data, and business system integrations to enhance decision-making and automate operational processes. You will either deliver applications end-to-end, potentially using AI-assisted coding tools for front-end development, or focus on the backend, enabling business colleagues to build their own front ends. The position involves collaborating with engineers, analysts, and business stakeholders to move solutions from requirements to production, contributing to the data platform's evolution, and providing technical leadership through reviews and mentoring.

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Toast

AI Foundations is Toast's internal platform team for AI, responsible for building the infrastructure, governance, and developer tooling that enables AI to be a reliable, scalable force multiplier across the product development lifecycle. This includes products like the LLM Proxy, AI Key Management, Observability pipelines, the Claude Plugin Marketplace, and autonomous agents. We are seeking a Senior Engineering Manager to lead Internal Agent Experience operations, contributing to the strategy and delivery of how employees across all functions interact with agents, from plugins to agents integrated into SDLC processes.

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