Senior AI Engineering Jobs

As part of the AI Engineering team within the Digital Assurance & Technology team, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Assurance practice, you will focus on developing and implementing advanced AI and machine learning solutions to drive innovation and enhance business processes. Your work will involve designing and optimizing algorithms, models, and systems to enable intelligent decision-making and automation. You will set direction and quality standards across work streams and teams for testing and evaluation of AI-enabled systems, technical evidence and control effectiveness, and reusable capabilities that support responsible, reliable AI deployment across multiple teams. As a Senior Manager, you will leverage your skills and professional network to deliver quality results. You will motivate and coach others, collaborating to solve complex problems. With increased autonomy, you will apply sound judgment, recognizing when to take action and when to escalate. Your ability to develop and sustain diverse and inclusive teams, along with your commitment to excellence, contributes to the success of our firm. In this role, 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. Your influence and skills will be crucial in crafting clear, impactful messages and applying systems thinking to identify underlying problems and opportunities.

$119k - $300k

As a Senior Lead Software Engineer on the AI/ML Data Platforms team, you will be a key member of an agile team responsible for enhancing, building, and delivering trusted, market-leading technology products. You will drive meaningful business impact through hands-on engineering leadership, applying deep technical expertise to address complex challenges. This role involves designing and delivering agentic AI platforms and LLM-enabled services for enterprise use cases, contributing to architecture and engineering decisions, building cloud-native services on AWS, and improving system quality through strong evaluation, observability, and operational excellence practices. You will also raise engineering standards through high-quality code reviews, clear documentation, and effective collaboration.

Elastic

Elastic is seeking a Principal Software Engineer to join the Elasticsearch - Storage Engine team. This globally distributed, fully remote team focuses on developing core storage and query technologies for observability workloads. The role involves improving storage efficiency, advancing query processing and performance, and optimizing data layouts. The ideal candidate will drive the technical vision, architecture, and design of Elasticsearch's core storage and query engine, with a proven track record in high-performance, scalable database or search engine technologies and the ability to lead technical initiatives across organizations.

$160k - $304k

Moveworks is seeking an Agentic AI Harness Architect to define the technical vision for our agentic AI harness. This role involves planning, selecting tools, managing context, and implementing memory, critique, reflection, adaptation, and recovery mechanisms for AI agents. You will invent and prototype algorithms to enable agents to complete complex tasks with minimal supervision and high reliability. The position requires designing model-agnostic abstractions to integrate foundation models, specialized agents, enterprise tools, and workflows, while developing approaches for agent memory and learning that prioritize enterprise security and privacy. You will also create rigorous benchmarks and evaluation methods for agent performance and explore advanced methods like iterative planning, self-critique, and multi-agent coordination. The role includes building prototypes, identifying promising ideas, and collaborating with platform and product teams to bring them to production, while remaining hands-on with code and experiments.

$201k - $352k

JPMorgan Chase & Co. is seeking an AI Platform Engineer – Vice President to join the Global Technology Applied Research (GTAR) center. This role will engineer, operate, and evolve the shared platforms that enable researchers to develop, evaluate, and mature AI solutions in secure, scalable, firm-approved environments. You will own the cloud and compute foundation for AI research workloads, build reusable platform services and automation, and partner with researchers and enterprise technology teams to ensure experimentation is reproducible, reliable, well-controlled, and ready for downstream integration.

Escape is seeking a Senior Full-Stack Engineer to join their AI Cybersecurity team. This role is central to the company's product, focusing on owning and evolving the core data model that represents attack surfaces and AI-learned insights. You will be responsible for translating offensive AI research into tangible product features, accessible through a Svelte frontend and GraphQL API. This position offers a high-leverage opportunity to influence technical direction and directly impact what customers see, with a clear path towards technical leadership.

€75k - €90k

Brex

Brex is seeking a Senior Software Engineer to join the Operational AI team, focusing on building and evolving Brex's internal platform for creating, evaluating, and running AI agents in production. This platform is crucial for automating critical internal operations, such as customer onboarding and providing AI tools for sales and customer success teams. The role involves owning the technical direction of the platform, enhancing its capabilities to support complex agent interactions and secure data access, and strengthening its evaluation and reliability systems. The goal is to make this platform the standard for deploying AI within Brex's operations, directly impacting the company's ability to onboard, serve, and grow its customer base.

Taktile

Banks and fintechs use Taktile to automate critical decisions, like credit and risk, in real time. We're building the infrastructure that makes financial institutions truly AI-native, and the backend is where the hard problems live. We're growing rapidly with enterprise customers across banking and insurance, and we're looking for a Senior Backend Engineer to join Team Atlas, a small, high-ownership team focused on the data infrastructure powering our feature computation platform. You'll own critical systems end-to-end, and your decisions will shape the product.

ClickHouse

Langfuse is seeking a Senior Product Engineer, Integrations to own the critical first impression for developers interacting with their platform. This role involves building and maintaining integrations with over 40 frameworks and model providers, ensuring a seamless experience for users. You will be at the forefront of LLM application development, working with cutting-edge AI frameworks and contributing to the core Python and TypeScript SDKs. This position offers significant exposure to the rapidly evolving AI ecosystem and the opportunity to directly impact thousands of developers through open-source contributions.

€90k - €160k

Taktile

Taktile is seeking a Data Engineer (AI Enablement) to join their rapidly growing team, empowering financial institutions to become AI-native. As the first dedicated Data Engineer for AI Enablement, you will be responsible for building internal tools, agents, and integrations to enhance team efficiency. This role involves end-to-end project ownership, collaborating with leads across Engineering, GTM, and Ops to identify and scale high-impact workflows. You will embed across various departments to pinpoint areas where AI can reduce operational friction, drive adoption through workshops and support, and partner with Security and IT to ensure data protection.

Join us in redefining how artificial intelligence accelerates business impact. As an AI & Data Scientist, you will apply advanced analytics, machine learning, and artificial intelligence techniques to transform workforce data into actionable insights and solutions. You will partner with business leaders, product teams, and technologists to develop models, evaluate outcomes, and deliver AI-powered capabilities that support evidence-based workforce decisions. Your work will help accelerate the delivery of innovative AI solutions within a regulated environment.

As a Senior Lead Software Engineer within the Chief Technology Office - Risk, Control & Regulatory team, you will be an integral part of an agile team focused on enhancing, building, and delivering market-leading technology products securely and at scale. You will leverage deep technical expertise to solve complex challenges across multiple technologies, driving significant business impact. Your work will involve developing Python-based software that integrates data pipelines, authenticated internal system integrations, and generative AI/LLM-based agent capabilities on a Python and PostgreSQL platform. You will contribute production code, elevate engineering quality, and ensure solutions are reliable, observable, and compliant with firm expectations for security, data sensitivity, and responsible AI use.

SambaNova

SambaNova is seeking a Software Architect to join the SambaStack platform team. This role involves defining the technical direction and architectural strategy for an AI inference platform that serves enterprise AI workloads on SambaNova's RDU hardware. You will own cross-cutting architectural decisions, ensuring the platform meets enterprise-grade standards for scalability, reliability, and performance. This is a high-impact position at the intersection of AI infrastructure, enterprise software, systems architecture, and developer experience.

$245k - $325k

Harvey is transforming legal and professional services by integrating advanced agentic AI with an enterprise-grade platform. This role is a founding position on the Security Engineering team, focused on building the foundational security for AI agents. You will lead the development of a platform that enables agents to perform security work, including vulnerability discovery and validation through authorized penetration testing, while ensuring data and system protection. The work involves shaping how agents are sandboxed across product and internal platforms, building execution environments, orchestration, and controls, and enabling the secure internal use of open-source models.

$231k - $346k

Cerebras

Cerebras Systems is seeking an AI and Automation Engineer to join their Business Intelligence and Systems team. This role involves designing, building, and operating secure AI solutions and enterprise automations for the company. You will translate complex requirements from Finance, Accounting, Supply Chain, and other business units into reliable agents, applications, integrations, and controlled workflows. The position requires a blend of solution architecture, direct engineering, production support, and agile delivery, with a strong emphasis on software engineering judgment and practical business process knowledge to move prototypes into secure, supportable production services.

Monte Carlo is seeking a Senior Fullstack Engineer to join their team and build the core of their agent trust platform. This role involves developing backend services, distributed systems, and agentic workflows that enable enterprises to monitor and trust AI in production. You will take ownership of problems from initial concept through prototyping, architecture, development, testing, and deployment, ensuring reliability, observability, and scalability as the platform grows. The position is primarily backend-focused but includes shipping React surfaces when necessary, and involves building and maintaining data pipelines for analytics, ML, and customer-facing features. You will collaborate with product, ML, and infrastructure teams to deliver customer value.

$180k - $230k

SpaceXAI is seeking an engineer to join our RL infrastructure team and help develop our evaluation infrastructure. This role involves building highly reliable, efficient, and user-friendly systems to run evaluations at scale. You will collaborate with modeling and evaluation teams to develop new evaluations, maintain signal quality, and create internal tooling for training next-generation models. A key part of this role is identifying and resolving performance bottlenecks across the entire evaluation infrastructure stack, including inference, capacity fleet management, and asynchronous evaluation orchestration.

$180k - $440k

As a Staff Data Engineer at Capital One, you will be a leading technical expert contributing to the future of data platforms and banking in the cloud. You will collaborate with data engineers, data scientists, machine learning experts, and product managers to devise scalable and reusable data solutions for complex problems. Your role involves driving innovation, optimizing business outcomes, and delivering strong data and technology solutions. You will promote engineering excellence, mentor junior engineers, and actively recruit talent to build our community. You will operate as a trusted advisor, sharing knowledge through communications, code samples, and blog posts, specializing in a particular subject area while impacting the organization broadly.

$269k - $307k

General Motors is seeking a Staff Individual Contributor to design and build the next generation of customer-facing AI systems. This role involves leading the architecture and hands-on implementation of reusable modules for conversational AI, agent orchestration, grounding, memory, tool integration, and policy enforcement. The successful candidate will establish durable technical patterns across cloud services and customer experiences, contributing production code in Python, Go, and/or Java. This is a senior technical leadership position focused on influencing architecture, mentoring, raising engineering standards, and driving execution through design and implementation.

$189k - $333k

We are seeking a Product Manager / AI Product Manager to join our Payments Platform team. In this high-visibility role, you will define and drive the product strategy for AI-powered automation within our payments platform. You will leverage data, machine learning, and agentic AI to enhance reliability, mitigate operational risk, and accelerate the resolution of payment issues at scale. This position sits at the critical intersection of payments domain workflows, machine learning (particularly anomaly detection), and LLM-based systems (RAG, agentic orchestration).

As a Director of Software Engineering at JPMorgan Chase within Operations Collections, you will lead a technical area and drive impact across teams, technologies, and projects. You will utilize your in-depth knowledge of software, applications, technical processes, and product management to drive multiple complex projects and initiatives. You will serve as a primary decision-maker for your teams and be a driver of innovation and solution delivery.

JPMorgan Chase is seeking a Lead Software Engineer for their Asset and Wealth Management- Analytics & Applied AI Team. This role is integral to an agile team focused on enhancing, building, and delivering secure, stable, and scalable technology products. You will be a core technical contributor, responsible for developing critical technology solutions across various business functions to meet firm objectives. The ideal candidate is passionate about solving business problems through innovation, analytics, and an AI-first engineering mindset, focusing on building reusable, governed analytical data products and accelerating regulatory and CEO-priority analytics. You will lead an AI-first transformation of data engineering and analytics by productizing the data product lifecycle and building human-in-the-loop autonomous agents to reduce manual effort, improve auditability, and enable self-service consumption on the strategic data mesh, while also owning the modernization of this mesh.

As an Applied ML and Generative AI leader within the Corporate Technology team, you will develop applications and provide tech support for all corporate functions across the network. You will operate as a hands-on leader responsible for designing, building, and running production-grade ML and Generative AI services, while setting technical direction that scales across multiple workstreams. You will remain close to the code and architecture decisions, establish delivery and engineering standards, and ensure solutions meet enterprise expectations for security, stability, and operational rigor. A core requirement is stakeholder partnership: you will routinely explain what is being built, why it matters, and how it will perform in production to both technical and non-technical audiences, enabling informed decisions and clear delivery alignment.

As the Applied ML and Generative Lead within J.P. Morgan, you will operate as a hands-on engineering leader responsible for designing, building, and running production-grade ML and Generative AI services, while setting technical direction that scales across multiple workstreams. You will remain close to the code and architecture decisions, establish delivery and engineering standards, and ensure solutions meet enterprise expectations for security, stability, and operational rigor. A core requirement is stakeholder partnership: you will routinely explain what is being built, why it matters, and how it will perform in production to both technical and non-technical audiences, enabling informed decisions and clear delivery alignment.