451 to 475 of 22,149 AI Jobs

data, information, and systems to achieve their business objectives. At Lam Research, we are building the next generation of intelligent IT operations through Agentic AI, platform engineering, and autonomous service management. Aufgaben The impact you'll make As the Principal Agentic Architect, you will define the architecture that enables AI … automate, and operate at enterprise scale while ensuring security, governance, reliability, and observability remain foundational. You will establish the long-term vision for how AI agents, human operators, and digital platforms work together to create a highly automated, resilient, and self-improving IT ecosystem. Your work will directly influence ...

support of the firm’s business objectives. You will work on challenging Cloud-native data, backend engineering and AIML engineering, helping us industrialize AI/ML models at Production scale. This role is a technical hands-on Engineering role. Experience with data science/ML modeling is advantageous … backend engineering, Cloud infra DevOps and MLOps Designs and implements data engineering solutions, leveraging modern big data technologies Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness ...

that span multiple technologies and applications. You will be part of a development team responsible for designing and implementing data and analytics solutions and AI ready capabilities on a federated data platform to support business initiatives. The role includes building performant, automated ingestion and transformation pipelines for internal and external … marketplace supporting Technology teams and business users, including Quantitative Research. In parallel, you will bring an understanding of how to design and implement an AI-ready data platform-helping embed reusable foundations that make the platform and its Data Products easier to understand, discover, trust, and consume for both traditional ...

technology capabilities for our customers and colleagues. To be successful as a Forward Deployment Engineer, you should have experience with: Good technical experience in AI/ML with experience developing and deploying solutions using LLMs, RAG architectures, and modern AI frameworks and protocols (Strands, FastMCP, LangChain, LlamaIndex, Hugging Face … financial environments including one or more of the following: investment banking, risk, compliance, or relevant domain with understanding of regulatory considerations and responsible AI practices. Solid software engineering foundation with proficiency in Python, cloud platforms (AWS/Azure), APIs, and full-stack development to rapidly prototype and productionise AI applications. ...

technology capabilities for our customers and colleagues. To be successful as a Forward Deployment Engineer, you should have experience with: Good technical experience in AI/ML with experience developing and deploying solutions using LLMs, RAG architectures, and modern AI frameworks and protocols (Strands, FastMCP, LangChain, LlamaIndex, Hugging Face … financial environments including one or more of the following: investment banking, risk, compliance, or relevant domain with understanding of regulatory considerations and responsible AI practices. Solid software engineering foundation with proficiency in Python, cloud platforms (AWS/Azure), APIs, and full-stack development to rapidly prototype and productionise AI applications. ...

About the role This role is within the Strategic Research Group (SRG). The SRG are a team of Data Science, Machine Learning and AI specialists who develop novel AI solutions to mission focussed problems. In this role you will work with high levels of autonomy and be responsible … design, planning and technical leadership of multiple AI/ML projects. You will help lead and set technical and strategic direction for the group, support with customer and stakeholder engagement and deliver technical solutions on internal and external projects. Skills and Experience Requirements BSc in Machine Learning, Data Science, Computer ...

solutions using agentic development practices including spec-driven development and agent-driven development with tools such as Claude Code and Codex. You will build AI-native products and workflows, embedding AI capabilities directly into compensation, payroll, and equity workflows to reduce manual effort and improve global mobility outcomes. What … complex regulatory and client requirements into technical plans and deliverables. Use agentic development practices including agent-driven development with Claude Code, Codex, or similar AI coding agents to accelerate design, implementation, testing, and operations across the SDLC. Work in a spec-driven development workflow, authoring detailed specifications—including country-specific ...

their ambitions. We are seeking a Senior Machine Learning Scientist You'll play a key part in designing, building, deploying, and operating production-grade AI services (ML and/or GenAI) that are secure, scalable, and reusable across Wholesale use cases In this role you'll: Design, build, deploy … operate production-grade AI services (ML and/or GenAI) that are secure, scalable, and reusable across Wholesale use cases Productionise PoC/PoV work into hardened solutions with clear non-functional requirements (performance, resilience, cost, security) and defined service ownership Build and maintain MLOps/LLMOps pipelines (CI/ ...

realise their ambitions. We are seeking a Senior Machine Learning Scientist Youll play a key part in designing, building, deploying, and operating production-grade AI services (ML and/or GenAI) that are secure, scalable, and reusable across Wholesale use cases In this role youll: Design, build, deploy, and operate … production-grade AI services (ML and/or GenAI) that are secure, scalable, and reusable across Wholesale use cases Productionise PoC/PoV work into hardened solutions with clear non-functional requirements (performance, resilience, cost, security) and defined service ownership Build and maintain MLOps/LLMOps pipelines (CI/ ...

Lead Machine Learning Engineer At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From … informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable ...

LLMs, strong Python coding skills, and a track record of deploying models to production? Do you thrive in building real-world AI solutions that are used by actual customers? If so, we'd love to talk to you!**ROLE SUMMARY:** As a Principal Data Scientist (individual contributor), you will play … hands-on role in designing, building, and deploying scalable AI solutions that go beyond prototypes and are actively used in production. You'll work closely with collaborative teams to co-develop innovative products for financial markets and professionals.We're looking for someone who combines deep technical expertise ...

solutions are delivered that drive measurable business outcomes. This is an exciting opportunity to influence Vanguard's data strategy, establish engineering best practices, promote AI-enabled software development, and help build a high-performing engineering culture across a growing global team. In this role you will Write ETL (Extract/… resolve and elevate software into production Experience in data analytics, programming, database administration, or data management experience Proficient in spec-driven development using AI coding tools such as Claude Code or Codex. Having AI engineering experience will be a plus What it takes Must-Have Skills & Experience Deep expertise designing ...

solutions are delivered that drive measurable business outcomes. This is an exciting opportunity to influence Vanguard's data strategy, establish engineering best practices, promote AI-enabled software development, and help build a high-performing engineering culture across a growing global team. In this role you will Write ETL (Extract/… resolve and elevate software into production Experience in data analytics, programming, database administration, or data management experience Proficient in spec-driven development using AI coding tools such as Claude Code or Codex. Having AI engineering experience will be a plus What it takes Must-Have Skills & Experience Deep expertise designing ...

About InstaLILY InstaLILY is an AI products and infrastructure company that puts execution at the frontier of enterprise AI. That work begins with LilyTM, the world\'s first AI Forward Deployed Engineer, which learns how a business works, builds the software it needs, and goes live in days. It does … people who join now shape what this company becomes. Everything runs on three principles: Customers, Culture, and Code. Responsibilities Continue to develop the core AI platform and drive technical excellence throughout the organization. Work closely with cross-functional teams (product, UI/UX, business development) to design and implement ...

business models and building innovative solutions that improve how we operate, trade and serve our customers.Join us as we use technology, data and AI to create competitive advantage across bp’s trading and commercial businesses.# **The role**We are looking for an expert **Senior Software Engineer** to join our Trading … business customers to turn sophisticated business problems into scalable, resilient and production-ready solutions.A key focus of the role will be taking **Data and AI solutions from discovery through to production**, including rapid prototyping, evaluation, deployment and operation of agentic applications such as multi-agent systems and Model Context Protocol ...

Senior Software Engineer, Machine Learning Infrastructure - Generative AI About the Team Deliveroo's GenAI Platform team sits within Machine Learning Platform and builds the shared infrastructure that helps DoorDash, Wolt, and Deliveroo teams safely bring GenAI-powered products, agents, automation, and personalisation to production. Our mission is to increase … Agent Gateway, evals infrastructure, guardrails, and cost attribution. About the Role You will join a small, high-leverage team building production infrastructure for Generative AI at Deliveroo and DoorDash, leading the design and architecture of our open-weights model platform spanning inference and fine-tuning: real-time GPU serving, high ...

Palantir Foundry. You'll drive the engineering plan for complex feature areas, lead code and design reviews, and work closely with data scientists and AI engineers to get prototypes into production. Mentoring the engineers around you is a big part of the job too. What You’ll Be Doing … This Role Design the technical solutions that tie together data pipelines, models, and user-facing experiences into one coherent product. Break complex analytics or AI feature areas down into clear engineering plans, and flag technical risks before they become problems. Lead code and design reviews, helping the team sharpen ...

America, Europe, and Japan to enable the products and services of tomorrow to be invented faster and more disruptively than ever before. Our advanced AI-based algorithms and software platform help our clients and in-house inventors create breakthrough innovations. We’ve helped customers file hundreds of patents in areas … Google, and Amazon. The Opportunity Join our dynamic technical team and play a key role in building and securing the infrastructure that powers our AI-driven innovation platform. As a DevOps & Security Engineer, you will help design, deploy, and maintain robust cloud infrastructure while ensuring the highest standards of security ...

company certification or experience with the the company Platform Experience with Unity Catalog, Lakeflow Spark Declarative Pipelines, or MLflow Background at a data/AI company, cloud provider, or technical consulting firm Interview Process Recruiter Screen -> Hiring Manager Screen -> Design and Architecture Interview -> Live Coding Assessment -> Build, Demo, Pitch! Presentation … Reference Check About the company the company is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the the company Data + AI Platform to build and scale data and AI ...

flows to ensure end-to-end application or infrastructure service delivery to support business operations, addressing anomalies using standard observability tools. Uses enterprise-authorized AI capabilities within the work environment to speed up incident triage and initial problem analysis (e.g., summarizing logs/symptoms into hypotheses), validating outputs and handling … support the management of incidents, problems, and changes in technology applications or infrastructure, escalating in compliance with firm policy and processes. Applies reuse-first, AI-assisted practices within operational stability routines to identify recurring interruption patterns and support validated remediation actions aligned to resiliency and security expectations. Execute creative ...

leadership to guide cutting-edge projects, fostering growth and innovation in a dynamic environment. As a Lead Technical Program Manager in Corporate Technology, AI/ML Data Platforms team, you will drive the successful delivery of complex technology projects and programs that will help reaching business goals across the firm. … while effectively managing the dynamic landscape of GenAI. Experience in organizational operation, Excel data analysis, and organization budgeting & planning Experience or exposure in the AI ML, Data ecosystem space Expertise on the AI and data product lifecycle, spanning from data discovery, data processing, model development, model deployment, and model monitoring ...

building the UK's next generation engineering powerhouse, providing critical technology that strengthens national security and resilience. We specialise in turning advances in sensing, AI, and communications into operational capability for the edge, where connectivity may be degraded or denied. Our work focuses on accelerating the deployment of technology, improving … engineering businesses. About the role We are growing our ML team and hiring across mid, senior, lead and principal levels. We are looking for AI builders; you will be working on developing and deploying AI systems to solve complex problems that have real-world impact. You’ll join an existing ...

contributing to informed decision-making for secure, stable application development. Champion agile methodologies, application resiliency, and security throughout the development process. Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test … contributes learnings and reusable patterns to improve broader team effectiveness. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation. Foster a culture of diversity, inclusion, and respect within the team, actively participating ...

modeling; Microsoft .NET technologies (C#, ASP.NET Core, REST APIs); Azure cloud solutions; GitHub Enterprise and CI/CD automation; enterprise application and API integrations; AI-enabled applications, agents, copilots, and automation solutions, along with a strong foundation in software architecture, object-oriented design, Agile development, security best practices, debugging … necessary. Preferred Qualifications: Experience in enterprise software development; Microsoft technologies including SQL Server, Power Platform, Fabric, and Power BI; Azure cloud services and AI technologies such as Azure AI, OpenAI, Copilot Studio, Semantic Kernel, and RAG architectures. Additional experience with microservices, containerization, Infrastructure as Code (IaC), cloud migration, legacy system ...

solve, and being hands-on enough that the interesting part of the work lands with you, not someone else — you'll build with AI, not watch it happen.This is the stretch zone. Come find out what you're capable of.About the roleFirst-line fraud teams at Klarna build models against … reviewing methodologies built with scikit-learn, LightGBM, graph models, anomaly detection, and increasingly GenAI-based components. You'll also build your own tooling — agentic AI systems that read model documentation and code and surface risks automatically, so validation keeps pace with how fast first-line teams ship.The scope spans ...