1,351 to 1,375 of 23,254 AI Jobs

developing resilient backend services and APIs, and delivering enterprise automation capabilities across products such as AaaS, Ansible Automation Platform, AutoM8, event-driven automation, and AI-enabled service management. You will work with technologies including Java, Spring Boot, Go, Kubernetes, Terraform, Ansible, PostgreSQL, CockroachDB, Redis, CI/CD tooling, public cloud … builds, and delivers trusted technology products in a secure, stable, and scalable way. EPAS delivers Day 2 operational automation, workflow orchestration, event-driven automation, AI/ML-enabled service management, and platform tooling that support Incident, Change, Problem, Crisis, and Production Management processes across the firm. This role ...

reviews and mentors other engineers Creates durable, reusable software frameworks and patterns that are leveraged across teams and functions Designs and governs agentic AI systems, including multi-agent workflows, tool-use integrations, and human-in-the-loop controls appropriate for regulated financial services environments Establishes engineering standards for LLM-based … methodologies Serves as the function's go-to subject matter expert in one or more areas of focus within data engineering, platform architecture, or AI systems Advises cross-functional teams on technological matters within your domain of expertise Influences leaders and senior stakeholders across business, product, and technology teams ...

technical teams, contractors, and vendorsDevelops secure and high-quality production code, and reviews and debugs code written by othersDrives 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 … proven patterns and automation within the SDLC/TLM toolchain. Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale. Drives decisions that influence the product design, application functionality, and technical operations ...

research for novel subsurface workflows. Working with geoscientists, data scientists, and product teams you will translate geological concepts into robust computational methods, prototype new AI-enabled workflows, and proactively identify opportunities to advance domain technology. Required Qualifications & Skills Degree in geoscience, geology, petroleum geoscience, computational geoscience, or a related discipline … machine learning libraries. Excellent communication skills, with the ability to explain technical concepts clearly to geoscientists, software engineers, data scientists, and product stakeholders. AI/ML Implementation Design, implement, and test AI/ML methods that automate or enhance subsurface interpretation, prediction, and modelling. Apply data-driven approaches to sparse ...

Chemify is revolutionising chemistry. We are creating a future where the synthesis of previously unimaginable molecules, drugs, and materials is instantly accessible. By combining AI, robotics, and the world’s largest continually expanding database of chemical programs, we are accelerating chemical discovery to improve quality of life and extend … evolve the next generation of our automated chemistry platform. You’ll work in a tight-knit, cross-functional team spanning software, hardware, data, AI, and infrastructure shipping real features against real science, fast. You’ll work shoulder-to-shoulder with scientists, hardware engineers, and AI researchers the kind of environment ...

communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and respect 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. Required qualifications, capabilities and skills Formal training or certification on software engineering concepts ...

gene-editing outcomes, field trials, genotyping, phenotyping and product decisions. This role will make that evidence more connected, traceable and reusable, enabling scientists and AI applications to learn from previous results and improve future crop-development decisions. You will define the architecture that connects Tropic's scientific and operational data … through shared identifiers, metadata, lineage and governance. Working with Bioinformatics, IT and business data owners, you will recommend the data engineering stack to support AI programmes across science, commercial, pipeline and supply. Within your first year, you will launch the first connected scientific data layer and operationalise the shared architecture ...

About AnthropicAnthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build … beneficial AI systems. About the roleOur Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack ...

leading music company operating across A&R, finance, legal, digital, sales and marketing. Universal Music UK supports artists, labels and central teams through data, AI and technology initiatives. Задачи: Support artists and labels across the business in collaboration with the Data & AI team; Lead data strategy at a label level … data quality Have working knowledge of Python or another programming language for analysis Be familiar with Git, version control and modern analytics workflows Understand AI and machine learning concepts and their practical application Mentor others and raise the quality of analytical work across a team Have at least 4 years ...

experienced professional to join our Financial Crime Risk team in the role of Technical Delivery Lead. Youll deliver leadership and hands-on Agentic AI engineering in Financial Crime Riskdriving end-to-end, production-grade AI solutions from governance and senior decision-making through to LLM/agent workflow design, evaluation … work, and a contributory pension scheme with a generous employer contribution. In this role youll: -Lead end-to-end delivery of production-grade AI and Agentic AI solutions for financial crime risk detection and investigation -Contribute to solution design and build where needed, including: LLM/agent workflow design (tool ...

close to the technology. The ideal candidate will have deep experience across cloud and on-prem security, security engineering, automation, incident response, and emerging AI security. This person should be equally comfortable providing technical direction to a security team and jumping in to troubleshoot complex security challenges. Responsibilities Lead security … architecture and engineering across on-premise, AWS, and Azure environments. Establish security standards and guardrails for AI/ML and LLM technologies, including RAG pipelines, API security, prompt injection, and emerging AI threats. Lead and participate in threat hunting, incident response, vulnerability management, and remediation. Serve as a senior technical ...

Role OverviewAs a Software Engineer III 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 … 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. Key responsibilitiesDeliver software through a disciplined software development lifecycle, working from well-defined requirements through design ...

seeking a future team member for the role of Java Full Stack Engineer with AI-driven development exposure to join our Conventional Trust Platform team. This role is located in London. In this role, you'll make an impact in the following ways: Define and execute the enterprise Java full … stack technology strategy, aligned with business transformation goals. Champion AI driven development practices (e.g., AI-assisted coding, automated testing, remediation, and code quality).Drive modernization initiatives including cloud migration, microservices, event-driven architectures, and API-led platforms. Establish best practices for secure, scalable, and resilient application design. Oversee ...

platforms.This is a hands-on engineering role for someone who enjoys working across the whole stack and is equally comfortable building conventional services and AI-enabled features. You will work alongside architects, product stakeholders and delivery partners to ship software that brokers and analysts use every day.**Key Responsibilities:*** **Build … infrastructure-as-code.* **Data-Driven Features:** Consume data through APIs and services to surface it in usable, performant ways for brokers and analysts.* **AI-Enabled Development:** Build AI-enabled product features using patterns such as retrieval-augmented generation, tool and API integration, evaluation and human-in-the-loop design.* **AI ...

technology. Make an impact! Join Expedia Group’s Growth Marketing Technology team to help shape the future of marketing through data-driven innovation and AI-powered solutions. Product Owner responsibilities In this role, you will: Lead product strategy, roadmap, and execution for AI, machine learning, automation, and decisioning capabilities within … data science, including data and feature pipelines, model or system selection, experimentation, evaluation, deployment, monitoring, guardrails, and feedback loops Drive the productionization of AI and agentic capabilities, including tool use, orchestration, state and context management, failure handling, human-in-the-loop experiences, and operational controls Define validation approaches and success ...

Chemify is revolutionising chemistry. We are creating a future where the synthesis of previously unimaginable molecules, drugs, and materials is instantly accessible. By combining AI, robotics, and the world's largest continually expanding database of chemical programs, we are accelerating chemical discovery to improve quality of life and extend … systems, and agentic workflows that tie it all together. You will partner with computational chemists, CADD scientists, software engineers, and hardware engineers, and apply AI/ML to build the next generation of Chemify's platform. What sets this role apart is the combination of breadth of ML problems — generative ...

design, build, and optimize enterprise applications. This role is ideal for an engineer who enjoys building scalable software, automating delivery processes, and leveraging emerging AI technologies to improve developer productivity and application quality. Responsibilities Design, develop, and maintain scalable applications using C#/.NET. Build and enhance cloud-native solutions … root cause analysis, and implement long-term improvements. Optimize application performance, scalability, and reliability. Contribute to software architecture discussions and engineering best practices. Utilize AI-assisted development tools (such as GitHub Copilot or similar technologies) to improve development efficiency. Identify opportunities to automate repetitive development and operational tasks. Required Qualifications ...

Modernize 40+ Applications & Build New AI Solutions Lead Full Stack Engineer React, Python & Azure Long-Term Contract This Jobot Consulting Job is hosted by: Dawit Demoz Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $40 - $60 per hour … applications and digital services used across the organization and throughout the state. With a strong focus on application modernization, cloud technologies, and emerging AI capabilities, our team is transforming legacy systems and building modern, scalable solutions that improve how services are delivered. We are looking for talented technology professionals ...

ability to translate business requirements into scalable, secure, and maintainable technical solutions. It will also require combining pro-code development, Microsoft platform agentic AI capabilities, and low-code tools into practical, secure, and maintainable solutions. The Legal Solutions Architect will partner closely with attorneys, business professionals, Innovation, IT, and external … challenges and accelerate the firm's strategic objectives. Responsibilities Determine when a business problem is best solved through custom software development, low-code technologies, AI agents, or a hybrid approach, and design solutions accordingly. Build and deploy Model Context Protocol (MCP) servers that securely expose firm tools and data ...

leading-edge technologies Add to team culture of diversity, opportunity, inclusion, and respect Drive team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause … testing) and promoting reuse of effective patterns across the team Apply 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 Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts ...

their portfolio companies to solve complex operational and commercial problems through technology. We build new digital products, modernise critical platforms, automate business processes with AI and create the technical foundations companies need to scale. This is not traditional consulting. We do not produce recommendations and leave clients to execute them. … directly with business leaders, operators and engineers to define the problem, build the solution and deliver measurable results. Product strategy and development Software engineering AI and automation Data and analytics Technology-enabled operational improvement The Role We are hiring a Senior Full Stack Engineer to join our core engineering team. ...

applications and digital services used across the organization and throughout the state. With a strong focus on application modernization, cloud technologies, and emerging AI capabilities, our team is transforming legacy systems and building modern, scalable solutions that improve how services are delivered. We are looking for talented technology professionals … approximately 40 existing applications, determining the appropriate future-state architecture, technology stack, migration strategy, and Azure hosting model for each. 2. New Application & AI Development: Design and build new applications, features, and AI-enabled solutions that support future business initiatives. The ideal candidate brings deep hands-on development experience, strong ...

company and is influential across multiple engineering teams. They are a hands-on technologist who leads by example and coaches engineers in modern, AI-augmented engineering practices. They are an expert at designing all layers of an application and platform, and they pioneer the use of Agentic AI for architecture … technical design, and implementation-using AI agents to accelerate solution design, generate and review code, evaluate trade-offs, and automate repetitive engineering tasks. They work in an Agile development environment architecting, designing, leading, and delivering technology solutions to transform healthcare into a safer and more cost-effective industry. They ...

Задачи: Provide technical support to developers as a subject matter expert in underlying technologies Prioritize engineering decisions and modernize DevOps practices through automation and AI-assisted engineering Design, implement, and lead CI/CD pipelines using GitLab and Jenkins Automate infrastructure provisioning and configuration management with Ansible and Terraform Develop … based pipelines Proficiency in Shell or PowerShell scripting and Python Experience with Agile/Scrum practices Knowledge of Docker, Kubernetes, and AWS Exposure to AI/ML-powered tooling in software engineering or DevOps workflows Strong communication and stakeholder management skills Willingness to work in a hybrid model in London ...

your course fees back. What's Included: 7 training modules: Excel, SQL, Python, Tableau, Power BI, Azure Data Fundamentals & Azure AI Fundamentals 3 official Microsoft certifications: Power BI Data Analyst (PL-300), Azure Data Fundamentals (DP-900) & Azure AI Fundamentals (AI-901) 100+ hours of live, instructor-led training: Learn ...