2,226 to 2,250 of 22,016 AI Jobs

Lead Engineer (AI)****Remote-first with occasional visits to Hemel Hempstead or on Park****Permanent | Full Time****Competitive salary + bonus and benefits****About the role**Are you an experienced software engineering leader passionate about AI-enabled ways of working? If so, we want to hear from you! Haven … architecture, and be the key technical contact for squad stakeholders and the wider business. You'll shape how the squad adopts and continually improves AI-enabled engineering practices, ensuring work is well-structured, appropriately supported, and delivered to a high standard of quality, security, reliability, and maintainability.This is a strongly ...

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 ...

Company Overview Trianz is an applied AI solutions company that accelerates customer business transformation through AI powered "Transformation Services as a Software Model". With 25+ years of transforming enterprises, we've evolved to a product-led, platform-driven organization serving global enterprises across Financial Services, Insurance, Healthcare, Hi-Tech … continents, our platform portfolio under the unified Concierto brand delivers end-to-end transformations including solutions for Migrate, Manage, Maximize, Modernize, Insights & Agentic AI, and SecOps - delivered through strategic partnerships with leading hyperscalers. We're building the premier innovation-led organization in the digital transformation space through AI-first methodologies ...

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 ...

lead creation of thought leadership, innovation, and assets for the discipline. You own how the most demanding programs formulate real-world problems into scalable AI and KG solutions, setting strategy and architecture end to end. You lead and develop teams of engineers, building capability across the discipline and guiding adoption … complete Knowledge Graph solution scope that transforms data architecture for our most strategic and complex clients. Own the design, development, and implementation of AI and semantic solutions across the program. Partner with project leaders, delivery leads, and senior client stakeholders to create stand-out, graph-powered offerings. Develop trusted-advisor ...

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 ...

lead creation of thought leadership, innovation, and assets for the discipline. You own how the most demanding programs formulate real-world problems into scalable AI and KG solutions, setting strategy and architecture end to end. You lead and develop teams of engineers, building capability across the discipline and guiding adoption … complete Knowledge Graph solution scope that transforms data architecture for our most strategic and complex clients. Own the design, development, and implementation of AI and semantic solutions across the program. Partner with project leaders, delivery leads, and senior client stakeholders to create stand-out, graph-powered offerings. Develop trusted-advisor ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...