3,126 to 3,150 of 28,727 AI Jobs

Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive …/FastAPI Solid frontend experience with modern JavaScript frameworks (React, Angular, or Vue) Experience designing and delivering scalable, cloud‐native applications Exposure to Gen‐AI concepts including: Large Language Models (LLMs) and transformer‐based systems Prompt engineering and basic agent workflows Vector search and retrieval concepts Familiarity with Gen‐AI ...

technical architecture, solutioning, and engineering alignment of a large-scale Wealth Management platform. You will work across applications, UI services, APIs, integrations, data, databases, AI/ML, AWS Cloud, infrastructure, Kubernetes, Docker, DevOps, security, performance, scalability, and cost optimization. You are expected to be hands-on, technically deep, and closely … Kafka), WebSockets, and Salesforce integration patterns. Containers & DevOps: Drive containerized architecture (Docker/Kubernetes) and embed complete CI/CD/DevSecOps lifecycles. Data & AI Architecture: Provide technical direction across RDBMS, NoSQL, Data Lakes, and AI/ML capabilities (LLM integration, RAG, vector databases). Performance & Security: Lead latency profiling ...

modern technologies Collaborate effectively as part of a global team Provide out of hours application support and coordinate of Production releases Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while … outputs through peer review, automated testing, and secure coding standards. 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 automationRequired qualifications, capabilities, and skills Formal training or certification on Java concepts and proficient ...

opportunities to improve operational stability through proactive monitoring, production support, troubleshooting, root-cause analysis, and automation of recurring issues. Drives adoption of enterprise-authorized AI-assisted engineering practices within the team to improve code quality, delivery speed, testing, troubleshooting, and operational outcomes, while ensuring validation, secure coding, peer review … front-end development frameworks. Prior exposure to ETFs, asset management, portfolio management, middle office processes, or broader financial services technology. Familiarity with enterprise-authorized AI-assisted software development tools and responsible AI use in engineering workflows, including validation of AI outputs for correctness, performance, and security. Experience working in globally ...

part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered … AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive ...

post go live, you'll spot performance risks and optimisation opportunities early, combining SaaS expertise, process thinking, data insight and hands on AI experience to help customers get more value from Unit4. You'll work alongside a Support Specialist and a Database Administrator, giving customers a proactive performance and optimisation … value realisation goals. Analyse post go live adoption and process data to recommend clear, actionable improvements. Advise customers on practical ways to use AI to automate work and boost productivity. Partner with Customer Success, Consulting, Support, Managed Services and Product to drive measurable outcomes. Build repeatable playbooks and templates ...

test automation strategy for assigned products, building and scaling the automation framework and prioritising high-value and business-critical coverage. Evaluate, introduce and embed AI-assisted testing tools (for example test-case and script generation, self-healing automation, synthetic test data and defect analysis) to speed up testing, extend coverage … reduce manual effort, ensuring AI-generated outputs are reviewed, validated and used responsibly. Design, develop, review and maintain robust automated tests and reusable test utilities using appropriate frameworks and coding standards. Work with DevOps and engineers to embed automated tests, quality gates and actionable reporting into CI/CD pipelines. ...

heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.Recognized as a top destination for innovators, BNY is where … pricing strategies, pricing governance, and margin managementMaintain good hygiene around capture of management information and KPIs.Lead, support and encourage initiatives to modernize BAU through AI and data science : automate repetitive tasks, implement workflow optimization, and deploy MLOps practices for reliable model lifecycle management.To be successful in this role ...

control standards across the SDLC Guides integration contracts, API/versioning strategies, and deprecation paths for platform services Drives team adoption of enterprise-authorized AI-assisted engineering practices across the SDLC toolchain to improve code quality, delivery speed, and operational outcomes, while setting validation standards for correctness, performance, and security … Software Development Life Cycle, including CI/CD, automated testing practices, application resiliency, and security Demonstrated experience leading effective use of enterprise‐approved AI‐assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance ...

Emerging Technology, Shared Technology Services, Technology, Risk and the Executive Program Management Office (EPMO). Driven by our investment in cutting-edge technologies like AI and cloud solutions, we’re home to a diverse range of roles and backgrounds united by a shared passion for leveraging modern technology to drive … internal and regulatory requirements.Collaborate with engineering leadership to design, implement, and operationalize endpoint policies, configurations, and standards in support of global infrastructure initiatives.Developer Tooling & AI Workload EnablementConfigure, package, and support core developer tooling across the fleet (VS Code, Python, Git, CLI utilities), balancing developer flexibility with security and compliance standards.Define ...

client's new data mart: schemaselection, grain, conformeddimensionsand semantic layer structure — with explicit focus on avoiding decisions that foreclose future analytical or AI use cases. Establish data science fundamentals and good practice across the FP&A and data engineering teams: Modelling discipline, statistical rigour,reproducibilityand documentation standards Review … Deliver structured education and upskilling — working sessions and written standards — so capability persists beyond the engagement. Advise on the data governance implications of downstream AI and agentic tooling, including client-data segregation, permissible-usecontrolsand auditability. Provide a clear, honest read on where the client genuinely needs sustained data science capability ...

modernization projects. Expert knowledge of cloud architecture, networking, and security in Azure and AWS.Experience with microservices and event-driven design. Familiarity with generative AI and agentic AI frameworkProficiency in infrastructure-as-code and configuration-as-code tools such as Terraform, CloudFormation, and Ansible. Skilled in container technologies such as Docker ...

test automation strategy for assigned products, building and scaling the automation framework and prioritising high-value and business-critical coverage. Evaluate, introduce and embed AI-assisted testing tools (for example test-case and script generation, self-healing automation, synthetic test data and defect analysis) to speed up testing, extend coverage … reduce manual effort, ensuring AI-generated outputs are reviewed, validated and used responsibly. Design, develop, review and maintain robust automated tests and reusable test utilities using appropriate frameworks and coding standards. Work with DevOps and engineers to embed automated tests, quality gates and actionable reporting into CI/CD pipelines. ...

foundations of the product, and helping define how users interact with complex energy system models. You will work closely with product, design, backend engineers, AI engineers, and energy specialists to build intuitive experiences over large datasets and complex modelling workflows. From data-heavy interfaces and interactive visualisations to new AI … team to break down ideas into deliverable features and contribute to sprint delivery and release cycles. Identify technical risks, dependencies, and blockers early. Use AI-assisted development tools responsibly to improve productivity while maintaining code quality and understanding. About You You are passionate about advancing the energy transition and building ...

Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive …/FastAPI*** Solid frontend experience with **modern JavaScript frameworks** (React, Angular, or Vue)* Experience designing and delivering **scalable, cloud‐native applications*** Exposure to Gen‐AI concepts including: + Large Language Models (LLMs) and transformer‐based systems + Prompt engineering and basic agent workflows + Vector search and retrieval concepts* Familiarity ...

Engineer, you’ll be the primary architect of our new data platform, supporting our acquisition strategy and turning fragmented legacy data into a competitive, AI-ready asset. If you enjoy building things from the ground up, modernising complex systems, and shaping how data is used across a business, this role … modular, high-performance cloud workflows. Raising engineering standards – introducing Git, CI/CD pipelines, automated testing and best-practice engineering processes. Preparing data for AI and ML – designing resilient architectures that ensure high-quality, accessible data for future AI initiatives. What You Will Need In The Role Of Data Engineer ...

Here’s a summary of the role: Build software that matters, take real technical ownership, and use modern AI tooling to do your best work. This is a hands-on senior engineering role for someone who enjoys solving complex product problems, shaping robust solutions, and helping teams deliver reliable services … owning complex features end to end, contributing to design and architectural decisions, supporting production systems, and helping raise the bar across backend, cloud, and AI-assisted development workflows. Here’s a breakdown of what you’ll do, not all of it, just the important stuff: Own and deliver complex backend ...

post go live, you'll spot performance risks and optimisation opportunities early, combining SaaS expertise, process thinking, data insight and hands on AI experience to help customers get more value from Unit4. You'll work alongside a Support Specialist and a Database Administrator, giving customers a proactive performance and optimisation … value realisation goals. Analyse post go live adoption and process data to recommend clear, actionable improvements. Advise customers on practical ways to use AI to automate work and boost productivity. Partner with Customer Success, Consulting, Support, Managed Services and Product to drive measurable outcomes. Build repeatable playbooks and templates ...

team environment. Document models, methodologies, and processes for transparency and knowledge sharing. Required Qualifications, Capabilities and Skills Advanced degree (Masters or PhD) in Statistics, AI/ML, Computer Science, Operations Research, or related quantitative field. Significant experience in quantitative modelling, analytics, or related roles. Strong background in AI, machine learning … operations research, or revenue/yield management. Proficiency in Python for data analysis, modelling, and software development. Deep understanding of statistics, AI, and optimization techniques. Demonstrated ability to solve complex quantitative problems and deliver business impact. Excellent communication and presentation skills, especially with senior stakeholders. Ability to work collaboratively ...

Make Microsoft Advertising part of your career story. Microsoft Advertising supports advertisers and partners across search, audience, retail media, commerce, and emerging AI-powered experiences, helping businesses connect with customers across the Microsoft ecosystem. Global Support is a critical partner to customers, sales, product, and engineering teams, ensuring advertisers … confidence. As a Service Engineer, you will provide advanced technical support for complex platform and customer issues, using telemetry, diagnostics, data analysis, automation, and AI-assisted tools to investigate root cause, restore service health, and improve the customer experience. You will partner closely with engineering and business stakeholders to turn ...

risk/control standards across the SDLCGuides integration contracts, API/versioning strategies, and deprecation paths for platform servicesDrives team adoption of enterprise-authorized AI-assisted engineering practices across the SDLC toolchain to improve code quality, delivery speed, and operational outcomes, while setting validation standards for correctness, performance, and securityMentors … Software Development Life Cycle, including CI/CD, automated testing practices, application resiliency, and securityDemonstrated experience leading effective use of enterprise-approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance ...

position requires strong leadership skills to guide a team of engineers, foster collaboration, providing technical mentorship, with a focus on the practical use of AI technologies to improve how we deliver software. The Lead Software Engineer will work closely with cross-functional teams to align technical strategies with business objectives … deliver robust solutions that meet client needs. Technical Leadership: Champion the practical use of AI tools and technologies across our development practices. Provide leadership in the design, development, and deployment of software applications. Lead system design and architecture discussions to build scalable and robust systems. Drive best practices across ...

Model ML is the AI workflow builder transforming how major financial institutions produce and validate client-ready work. Model ML converts complex, manual processes into fully automated AI systems that scale across global teams. In under a year, Model ML has become one of the fastest growing enterprise AI platforms ...

Emerging Technology, Shared Technology Services, Technology, Risk and the Executive Program Management Office (EPMO). Driven by our investment in cutting-edge technologies like AI and cloud solutions, we’re home to a diverse range of roles and backgrounds united by a shared passion for leveraging modern technology to drive … regulatory requirements. Collaborate with engineering leadership to design, implement, and operationalize endpoint policies, configurations, and standards in support of global infrastructure initiatives. Developer Tooling & AI Workload Enablement Configure, package, and support core developer tooling across the fleet (VS Code, Python, Git, CLI utilities), balancing developer flexibility with security and compliance ...

this is a newly created, influential role with responsibility for data strategy, analytics, data platforms, automation and CRM, helping the firm use technology and AI to make better decisions, improve efficiency and support sustainable growth. As the Data Analytics Lead you'll initially learn about the business, audit the current … pragmatic with the ability to explain technical concepts to non-technical stakeholders You have a strategic, commercially minded approach and a genuine interest in AI and automation What's in it for you: As a Data Analytics Lead (Azure PowerBI SQL) you will receive a competitive package: Salary to £100k ...