Senior AI Engineering Jobs

PwC is seeking a Senior AI/ML Engineer to design, build, and deploy scalable Machine Learning, Generative AI, and Agentic AI systems within cloud environments. The role emphasizes productionization, automation, and delivering business impact through work on demand forecasting, RAG-based applications, autonomous multi-agent systems, and enterprise AI integration. You will be part of a purpose-led and values-driven organization that leverages technology to drive innovation and create tangible real-world impact.

AI Solutions, part of Mastercard’s AI & Data organization, scales AI across the enterprise, moving use cases beyond pilots into trusted, production-grade capabilities embedded in Mastercard’s platforms and products. Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. You will be joining a team of AI and data engineers working on innovative AI and ML fraud solutions. Our innovative cross-channel AI solutions are applied in Fortune 500 companies in industries such as fin-tech and payments processing. We are pursuing a highly motivated individual with strong problem-solving skills to take on the challenge of structuring and engineering data and cutting-edge AI model evaluation and reporting processes. This role will be reporting to the VP of AI Engineering for AI Solutions.

KRAFTON AI Research is seeking a Lead AI Infrastructure Engineer to build and operate the GPU infrastructure necessary for model development, along with AI platforms based on Kubernetes and Slurm. This role involves managing GPU clusters, model training and experimentation environments, ML pipelines, infrastructure automation, and observability systems to ensure AI workloads for game development and services run stably and efficiently. The position is for a hands-on senior engineer who will operate and enhance existing large-scale GPU infrastructure, design future infrastructure expansions, and ensure stable and efficient utilization by R&D and service teams. You will also contribute to technical reviews and proposals for future computing infrastructure scaling and KRAFTON's GPU and computing operational strategy.

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 at JPMorganChase within the AI/ML Technology, you will be a hands-on engineer responsible for building and shipping production software with a strong focus on AI-enabled capabilities. You will work across the full software development lifecycle—from requirements clarification and design through implementation, testing, deployment, and production support. You will develop backend services in Python, build APIs and micro-services, implement LLM-based solutions including agentic workflows, and deliver into a multi-cloud environment using Terraform, Kubernetes, and CI/CD pipelines. This role offers you the opportunity to grow your expertise in applied AI engineering while contributing to systems that operate at enterprise scale.

GB Intelligence is redefining how Global Banking operates by bringing AI-driven insights and workflow automation into the core of deal origination, market and sector intelligence, and client coverage. This is a rare opportunity to build production-grade AI capabilities that directly shape how bankers work, at the scale and complexity that only JPMorganChase can offer. You'll grow alongside a team of engineers who are passionate about turning cutting-edge technology into trusted, real-world impact. As a Senior Lead Software Engineer, you will be a hands-on engineer building AI capabilities that integrate directly into bankers' daily workflows. You will engineer secure services and data flows, develop agentic workflows, and help transform complex client, deal, and market data into trusted insights—operationalized across downstream systems to accelerate execution, strengthen risk discipline, and elevate the day-to-day experience for Global Banking teams. Your work will sit at the intersection of modern AI engineering and enterprise-grade reliability, where the quality of what you build has direct business consequence.

Capital One is building responsible and reliable AI systems to transform banking. Leveraging extensive experience in machine learning and investments in technology, the company aims to be at the forefront of AI adoption. This role is within the Intelligent Foundations and Experiences (IFX) team, which is central to realizing this vision by advancing AI science and engineering, and deploying proprietary solutions that deliver value to millions of customers. The team's AI models and platforms empower other departments to enhance their products responsibly and scalably. You will help bring the transformative power of emerging AI capabilities to reimagine how we serve customers and businesses.

$230k - $262k

Capital One is 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 leveraging AI. Our AI & ML applications bring humanity and simplicity to banking, and we are committed to building world-class applied science and engineering teams to deliver breakthrough product experiences and scalable, high-performance AI infrastructure. You will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses. The Intelligent Foundations and Experiences (IFX) team is central to realizing our AI vision. We collaborate with partners across the company to advance AI science and engineering, building and deploying proprietary solutions that are core to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with AI in responsible and scalable ways for maximum impact.

$197k - $225k

Harvey is transforming legal and professional services by combining frontier agentic AI with an enterprise-grade platform. As we scale rapidly and take on increasingly complex use cases, we are expanding our engineering team to accelerate our ability to ship fast, delight users, and build infrastructure that scales with us. As an Engineering Manager for AI Platform, you will lead and scale a team of engineers building the foundational systems that power AI across Harvey. This includes model access and routing, agent and workflow orchestration, evaluation frameworks, tool and context infrastructure, and the observability needed to run LLM-powered products reliably at scale. You will partner with Product, Research, and product engineering teams to turn fast-moving advances in applied AI into durable, reusable platform capabilities and set the technical direction for how teams across Harvey build, test, and ship AI features. This role requires both technical depth and product intuition, with a focus on making fast, high-quality decisions, working at the cutting edge of applied AI, and growing a team that embodies engineering excellence.

$272k - $355k

Nango is a developer infrastructure company providing API access for agents and apps, enabling AI applications to connect to the real world. We are a YC-backed company with multi-million ARR and a growing team. We are seeking Senior+ Full-Stack Engineers to join our core engineering team. This product engineering role involves taking features from customer conversations to shipped products, encompassing the API, runtime, and dashboard. As we sell to developers, our engineers play a direct role in shaping the product roadmap, specifications, and execution, owning product surfaces end-to-end and influencing Nango's evolution as more customers build agents.

$140k - $220k

Drata is seeking a Senior Applied AI Engineer to drive the quality and effectiveness of our AI systems through rigorous experimentation, evaluation, and applied research. This is a research-focused role emphasizing experimentation and rigor over production engineering. You'll own the science behind how Drata's AI products retrieve, reason, and respond, and you'll work closely with AI and Software Engineers to turn validated approaches into production-ready systems. Drata's compliance platform is document-heavy, with various agents and mappers depending on high-quality information retrieval and reasoning.

$157k - $252k

As a Lead Software Engineer at JPMorganChase, you will be an integral part of an agile team focused on enhancing, building, and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. You will be a core technical contributor responsible for critical technology solutions across multiple technical areas within various business functions to support the firm's business objectives. This role involves designing, developing, and delivering scalable, secure, and resilient full-stack solutions, owning the end-to-end delivery lifecycle for strategic platform capabilities, and leading the design and development of cloud-native, containerized microservices. You will also drive technical architecture and design decisions, build high-performance backend services and APIs, develop modern operational and administrative user interfaces, and design and implement event-driven and streaming architectures. Additionally, you will champion engineering excellence through code reviews and mentoring, lead initiatives to improve application reliability and observability, and leverage enterprise-approved AI-assisted engineering tools to accelerate delivery and enhance productivity. A key aspect of this role is evaluating, designing, and implementing AI-powered and agentic solutions to optimize software development, operational workflows, and engineering processes.

Together AI

We are seeking a software engineer with a strong focus on reliability to manage the production operations of our Kubernetes-native control plane, which provisions and runs our GPU inference fleet. This platform team develops the API and controllers that enable the inference team to define their needs, such as clusters, model deployments, or capacity changes, and ensures these are reconciled. Your role will be to maintain this functionality in the real world by troubleshooting issues like InfiniBand problems, diagnosing serving faults, and enhancing our automated self-healing systems to permanently resolve recurring failures. The primary goal is to ensure the decoupling remains effective even during disruptions and to maintain fleet efficiency without introducing new instabilities. You will be responsible for inference serving SLOs and error budgets, leading incident response, and implementing lessons learned from postmortems into system changes. Additionally, you will address the reliability aspects of capacity efficiency, recognizing that misconfigured defragmentation or bin-packing can pose production risks. We value candidates with hands-on production reliability experience in large-scale distributed or GPU-serving systems, proficiency in troubleshooting InfiniBand/RDMA and Kubernetes controller-based platforms, and a software engineering approach to GPU infrastructure.

$250k - $320k

Rula is seeking a Staff Forward Deployed Engineer to join their remote-first team. This role focuses on leveraging AI to automate manual tasks for business and clinical teams, aiming to significantly reduce time spent on operational work. You will embed within teams to understand their workflows, build and deploy AI-powered tools, and ensure their successful adoption. A key aspect of this role is privacy-by-design, especially given the sensitive nature of mental healthcare data. The goal is to create reusable AI building blocks that accelerate efficiency across the organization.

$192k - $240k

Glean is seeking a Tech Lead for its Admin Console team to engineer a critical product surface that enables customers to deploy, govern, and scale Glean across their organizations. This high-impact, full-stack role involves guiding architecture, collaborating with product and design, and growing a strategically important team. The Admin Console serves as the control plane for enterprise activation, admin confidence, and scalable rollout, allowing admins to configure authentication, data sources, permissions, governance, search settings, AI features, and deployment health from a central hub. As Glean transitions into an AI platform, this team's focus is expanding from data source management to overseeing the broader system context, including actions, live data, governance, and AI configuration.

$200k - $300k

Anthropic

Anthropic is seeking a Staff+ Software Engineer to enhance the vector search infrastructure powering Claude. This role is crucial for Claude's ability to access information, impacting web search, conversation memory, and model training. You will join a small, foundational team responsible for the architecture, performance, scalability, and cost of the vector database layer. As a hands-on engineer, you will contribute to coding and make key architectural decisions, shaping the future evolution of this critical system within the Databases organization.

$320k - $485k

LangChain is seeking an Engineering Manager to lead the team responsible for building LangSmith, our observability and evaluation platform for LLM applications. This role involves defining the technical direction, mentoring a team of engineers, and collaborating with product and design to deliver features that empower developers to build and deploy trustworthy AI systems. You will foster a culture of collaboration, ownership, and technical excellence, ensuring the scalability and reliability of our platform. The position requires a strong technical background and a bias towards shipping quickly while learning from customers.

$220k - $270k

The Data Labeling Engineering team designs, builds, and operates hybrid human/machine data labeling tools and pipelines that power autonomous vehicle machine learning models. We operate at the intersection of software engineering, data engineering, and AI/ML, defining strategies, tooling, and quality controls for reliable training data at scale. This role offers end-to-end ownership of meaningful platform components, growth toward technical leadership, and direct impact on systems enabling the next generation of autonomous vehicle capabilities.

$175k - $261k

Salesforce is seeking a Software Engineering, AI Systems professional to join Salesforce AI Labs. This role involves building a product that learns from human demonstrations to automate complex workflows across enterprise applications. You will tackle challenging engineering problems related to agent dependability, reasoning, and error recovery. The position offers the opportunity to work directly with customers, own substantial systems from design to deployment, and contribute to taking a new offering from early adoption to general availability, supported by Salesforce's scale.

$149k - $224k

This role focuses on enhancing multiple products by identifying, prioritizing, and delivering AI-driven features to improve user experience, efficiency, and operational resilience. You will design, build, and deploy production-grade AI applications, including LLM-powered workflows, Retrieval-Augmented Generation (RAG) solutions, and agentic systems. The position involves developing automation solutions to reduce manual effort and architecting AI systems with production concerns like latency, scalability, cost management, and observability in mind. You will also establish AI engineering standards, drive architecture reviews, and identify/mitigate risks across the AI lifecycle, including data privacy, security, and bias.

Glean is building a world-class Data Organization composed of product data science, applied science, data engineering, and business intelligence groups. This is an applied science role based in our San Francisco office. You will collaborate with product data science and engineering teams to identify techniques, tooling, and process improvements in online A/B experimentation to assist rigorous decision-making across all relevant product domains. You will develop and maintain our A/B experimentation platform based on stakeholder feedback, and write code or identify vendors to deploy these techniques to production in a scalable manner that’s easy to use by engineering, product data science, product management, and design teams. You will also conduct end-to-end evaluation of various hero use cases like document/URL uploads, including evaluation set generation, coming up with evaluation criteria and methods to interpret the results. You will break down end-to-end evaluations into more granular evaluation of various tasks & skills including but not limited to content summarization/analysis/generation, multi-step reasoning & strategizing, tool selection & use, coding & system design. You will design, develop, and own best practices, tools, and processes across various evaluation problems, e.g., query intent classification, standardizing the use of best statistical principles to handle LLM stochasticity, and industry benchmarking.

$180k - $330k

Glean is seeking a Backend/Infrastructure Engineer to build and evolve the Storage layer that powers a highly available, performant, secure, and cost-effective suite of storage options for all data at Glean. You will own the storage systems that handle Glean’s most sensitive data, from enterprise documents and permission hierarchies to user behavioral signals and real-time query path data. Your work will directly enable organizations at scale to discover and act on their critical knowledge, supporting millions of searches, chat interactions, and agent workflows. You’ll deliver robust uptime guarantees, autoscaling, and reliable alerting/monitoring for a key component that runs across multiple cloud providers. As part of the Storage team, you’ll be responsible for a critical piece of Glean’s infrastructure, working closely with several other teams to support their workloads. You’ll also work across the stack to abstract cloud differences, reduce human intervention through self-healing systems, and drive real business impact by enabling Glean’s ever-growing scale.

$200k - $300k

voize

voize is building AI companions to seamlessly take over digital workflows for frontline workers, amplifying their impact rather than replacing them. With significant Series A funding and a growing user base, the company is seeking a Senior Fullstack Engineer to co-own its in-house ML App. This platform is crucial for annotation, data exploration, ML training orchestration, model evaluation, and managing sensitive data flows, aiming to make external vendor solutions unnecessary.

EnCharge AI is developing a next-generation AI platform featuring a novel in-memory-computing architecture designed to significantly improve energy efficiency and performance for AI inference workloads. We believe that as AI demands evolve, the underlying infrastructure must also advance. Our team, comprised of experienced AI researchers, silicon and systems engineers, and architects, is backed by leading investors and is positioned to be a key player in the future of AI innovation.

NVIDIA is seeking a Senior GPU Networking Architect to join their networking software group. This role is crucial for building and improving GPU communication kernels, bridging GPU computing with networking by ensuring communication primitives are developed in sync with GPU hardware capabilities. The successful candidate will contribute to the software foundation for the world's largest AI systems, working in a diverse and supportive environment that fosters innovation and impact.