3,151 to 3,175 of 28,597 AI Jobs

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 ...

rebuild of the Electronic Trading Data Strategy? This role sits at the heart of that transformation – reimagining our stack to be cloud‐native and AI‐first, giving you the chance to help re‐architect our data infrastructure from the ground up and embed AI‐first thinking into everything we build. … team. Responsibilities Act as one of the technical leads on the ground‐up rebuild of our Electronic Trading data infrastructure into a cloud‐native, AI‐first platform. Design, build, and maintain a high‐performance, high‐availability, high‐capacity platform that processes and persists massive volumes of business‐critical data ...

modelling using statistical rigor as the throughline, from validated instrument design through to automated, auditable analysis pipelines (Python/R/SQL). Pioneer AI-assisted techniques (e.g. LLM-assisted open-text analysis) where they genuinely sharpen the work, evaluating any AI tooling with a critical eye on validity … track record of quant research that measurably shaped product or business decisions, including A/B testing methodology. Hands-on experience experimenting with AI tools in a research workflow e.g. LLM-assisted analysis, AI-assisted qual coding, or evaluating AI-powered research tooling with a critical eye on validity ...

Help Build the Future of global STEM workforce solutionsWe're reimagining how organisations connect talent, technology, and opportunity.Our team is building the next-generation AI digital platform, automation, cloud-native architecture, and modern engineering practices. This platform is designed to transform workforce engagement at scale through intelligent workflows, seamless integrations … continuous improvement practicesDesign and maintain cloud-native solutions on AzureImplement Infrastructure as Code and modern DevOps practices to improve deployment velocity and platform reliabilityPromote AI-assisted software development by leveraging tools such as GitHub Copilot, Cursor, Claude Code, or similar technologiesMentor engineers and contribute to a culture of learning, collaboration ...

reviews.Stay updated with the latest industry trends and best practices in mobile development.Drive continuous improvement initiatives to enhance development processes and workflowsLeverages 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 … standards; 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 skillsFormal training or certification on JavaScript concepts and proficient applied ...

Inspector, Detective, IAM Identity Center, Macie, Security Lake, Network Firewall, WAF, and emerging capabilities as they launch- You will help customers secure their generative AI and agentic AI workloads by architecting security controls that keep pace with their innovation velocity- You will shape the roadmap by translating field patterns … CISOs, VP-level security leaders, and engineering teams including architecture reviews, security assessments, and proof-of-concept guidance- Help customers architect security for generative AI and agentic AI workloads- Translate recurring customer friction, customer obsession, and market evolutions into structured product feedback that shapes the AWS security services roadmap- Publish ...

Identify and address unfamiliar technology components, share best practices, and influence peers to drive continuous improvement in DevSecOps maturity across the organization.Uses enterprise-authorized AI capabilities within the work environment to accelerate cybersecurity risk analysis and control assessment, validating outputs and handling data according to sensitivity and security requirements.Drives reuse … first adoption of AI-assisted security validation within SDLC/toolchain routines, improving control testing, remediation quality, and traceability/auditability in line with resiliency expectations.Required Qualifications, Capabilities, and Skills:Advanced threat modeling experience (e.g., STRIDE-LM) for DevOps/CICD Pipelines and toolchains.Expert ability to advise and influence secure ...

engineers, data scientists, and business stakeholders Your Impact: Enable transformative business decisions through robust, scalable data architectures Drive adoption of modern data platforms and AI-enabled analytics solutions Establish technical standards and architectural patterns that ensure quality, security, and maintainability Help cultivate a data-driven culture within client organisations … modern data storage formats Experience with streaming architectures using Kafka, Event Hubs, or Kinesis for real-time data processing Knowledge of data architectures supporting AI/ML workloads, including vector databases, feature stores and MLOps pipelines Experience processing and managing unstructured data types (text, images, logs, sensor data) Understanding ...

solve complex technical challenges. Guide our transition towards a cloud‐native, API‐led and event‐driven architecture. Work with our Group Chief of AI to support the safe and effective introduction of AI into member experiences. Partner with Product, Engineering, Data, Marketing and IT teams to align technical solutions with … good understanding of security, identity, privacy and data architecture. Hands‐on experience with C#, .NET, CI/CD and modern DevOps practices. Experience introducing AI or machine‐learning capabilities into digital products. Strong technical judgement and the ability to balance scalability, maintainability, cost and delivery. Excellent communication and stakeholder‐management ...