2,276 to 2,300 of 21,600 AI Jobs

teams. You will build and scale a high-performing engineering organisation, oversee architecture and engineering standards, manage vendor relationships, and drive day-to-day AI automation. This position requires a strong blend of strategic foresight, people leadership, and a deep understanding of advanced engineering practices to deliver a world-class … SailGP App/Headsets, Fan Simulator and SailGP Insights. Production Ownership: Oversee the maintenance and evolution of production software, implementing best-practice with an AI first software engineering approach (agile methodologies, unit testing, refactoring, rigorous code reviews, and CI/CD pipelines). Performance & SEO: Direct technical strategies for concurrency ...

have strong backend Python software development experience? You could be joining the world's most advanced cybersecurity technology business that uses AI technology to protect clients across the globe from advanced cyber threats, working alongside a team of friendly and supportive people and enjoying a host of perks and benefits. … Senior Software Engineer within the R&D team you'll work on a new Greenfield product to combat the threat of AI based security attacks. You'll work on a range of complex and interesting projects from rapid prototyping of new ideas to the structured development of existing platforms, driving ...

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 ...

Role Exists The Email & Collaboration Security (ECS) product line sits at the intersection of some of the most consequential challenges in enterprise security today: AI-augmented threats, sprawling collaboration surfaces, multi-cloud delivery complexity, and the expectation that detection and response capabilities keep pace with a threat landscape that does … business problems into coherent, deliverable technical direction, and owning the decisions that give ECS engineering teams a stable foundation to move fast with quality. AI-First Ways of Working Mimecast is an AI-first engineering organisation. This is not a cultural aspiration — it is an operating expectation. The person ...

that develops connected consumer products and lifestyle solutions under the Shark and Ninja brands. Its products integrate hardware, software, cloud infrastructure, mobile applications, and AI-driven processes. Задачи Design and develop scalable cloud services and APIs for SharkNinja's connected device ecosystem. Build IoT connectivity platforms using AWS IoT Core … queues, serverless architectures, Docker, connected devices, IoT ecosystems, large-scale device management platforms, BLE, WiFi connectivity protocols, Rust, C/C++, systems programming languages, AI-assisted development workflows, AWS Bedrock, AI-powered development tools, prompt engineering, robotics, consumer electronics, smart home products, open source contributions, mentoring engineers, Step Functions ...

solve problems and find smarter solutions than the status quo Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting About the role We're hiring two Senior Quality Engineers to join our Mobile team at Lendable and help … test scripts by hand. You'll work alongside software engineers, product, and design, setting direction. You'll also be working at the frontier of AI-assisted quality, using LLMs and AI tooling to speed up test authoring, triage failures, and surface coverage gaps, while applying the engineering judgement to keep ...

develop visualizations and reporting from large, diverse data sets for continuous improvement of software applications and systems. Drives 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 … testing) and promoting reuse of effective patterns across the team. 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. Proactively identify hidden problems and patterns in data, using insights to drive improvements ...

investment, sales and performance. Embed privacy, security, consent, retention and cross-border data requirements into the architecture from the outset. Define how analytics, ML, AI services and agents access structured data safely and consistently. Produce data models, flows, lineage, architecture decision records and reusable design patterns for engineering and business … including dbt. Experience with consumer, digital and transactional data at scale, including web and app analytics and GA4. Understanding of data design for ML, AI or automated decisioning, including trusted definitions, controlled access and decision/outcome capture. Knowledge of privacy and security by design across multiple jurisdictions, including GDPR ...

ClearRoute are engaged to lead a strategic platform engineering initiative aimed at fundamentally modernising the path to production. The project centres on building an AI-enabled delivery platform on AWS that reduces friction, enforces consistency, and embeds governance directly into the engineering lifecycle. We are looking for hands‐on software … engineer(s) who can help design and implement the controls, tooling, and engineering practices needed to support safe AI-assisted development in an enterprise environment. The role sits across several domains. It requires someone who is credible as a developer first, with enough breadth across cloud, security, operating systems, desktop ...

Supporting testing, deployments, and governance for product enhancements and new releases. Business Continuity & Resilience: Safeguarding uninterrupted operations and ensuring readiness for critical events. Automation & AI Enablement: Leverage automation tools and AI-assisted workflows to drive initiatives that modernize, scale, and improve production processes across business units. Your Key Responsibilities … resolve production issues within established boundaries, knowing when to own the call and when to escalate Identify and implement opportunities to embed automation and AI-driven solutions into production workflows, reducing manual intervention and improving operational resilience Leverage AI-driven tools such as anomaly detection, AI-assisted log analysis ...

Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,400 firms in nearly 60 countries … tools to fulfill investors' needs. From Big Data in Databricks to new web apps and everything in between, you'll help us build an AI-first platform to empower investors. Moving forward, Navigator and these other tools will be used as the foundation to build key workflows that cater ...

ready to shape the future of data? Matillion is the company behind Maia, the AI Data Automation platform. In the AI economy, demand for data is exploding. Manual data engineering can’t keep up. Maia fixes that by combining 15 years of data expertise with agentic AI to eliminate … MongoDB, Cassandra, DynamoDB). Hands-on command of integration architecture, including APIs, Linux environments, SQL, and data pipeline technologies. Active experience leading/deploying AI initiatives, specifically enterprise adoption of Generative and Agentic AI workflows (e.g., Claude, ChatGPT, Cursor, n8n). Preferred/Desirable Qualifications Expertise in Data Productivity ...

investment, sales and performance. Embed privacy, security, consent, retention and cross-border data requirements into the architecture from the outset. Define how analytics, ML, AI services and agents access structured data safely and consistently. Produce data models, flows, lineage, architecture decision records and reusable design patterns for engineering and business … including dbt. Experience with consumer, digital and transactional data at scale, including web and app analytics and GA4. Understanding of data design for ML, AI or automated decisioning, including trusted definitions, controlled access and decision/outcome capture. Knowledge of privacy and security by design across multiple jurisdictions, including GDPR ...

investment, sales and performance. Embed privacy, security, consent, retention and cross-border data requirements into the architecture from the outset. Define how analytics, ML, AI services and agents access structured data safely and consistently. Produce data models, flows, lineage, architecture decision records and reusable design patterns for engineering and business … including dbt. Experience with consumer, digital and transactional data at scale, including web and app analytics and GA4. Understanding of data design for ML, AI or automated decisioning, including trusted definitions, controlled access and decision/outcome capture. Knowledge of privacy and security by design across multiple jurisdictions, including GDPR ...

Excellence in advancing both strategic and tactical implementation of solutions to meet organizational automation objectives. Direct the creation of Python-based and Agentic AI tools aimed at automating extensive repetitive tasks like combining various data sources, producing reports, and system reconciliation. Conduct detailed reviews of automation code developed by team … frameworks, and problem-solving techniques. Find opportunities for process improvements and implement solutions to optimize existing automations. Research and incorporate new Python libraries and AI tools to improve automation capabilities. Support proof-of-concept developments for evaluating new AI tools and frameworks for automation efficiency. Perform other related duties ...

transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity … measurements, as well as achieving higher operational efficiency without the need for humans-in-the-loop (both internal and customer-facing), via building AI-powered automation and servicesLakebase Manager (LBM):Build and operate the central control plane that owns the core logic for Lakebase — database creation and deletion, wake ...

teams to drive delivery and continuous improvement. The role reports to Associate Director, Investment Technology supporting the ETFs business. What you will be doing: AI‐accelerated engineering: institutionalize daily use of AI tools (e.g., GitHub Copilot, Claude, ChatGPT, AWS Bedrock) for coding, tests, documentation, and prototyping; set review standards … AI‐generated code. Design, build, and maintain data engineering workflows and platform services supporting the Vision platform and model delivery ecosystemDevelop and extend platform components responsible for data ingestion, transformation, validation, and routing across internal and external systemsBuild robust Python-based services, APIs, and microservices supporting portfolio analytics, optimization workflows ...

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. ...

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 … 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 ...