2,851 to 2,875 of 20,399 AI Jobs

contractors, and vendors Develops secure and high-quality production code, and reviews and debugs code written by others Drives 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 … review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain. Establishes an enterprise-aligned operating model for AI-assisted engineering across teams (approved use cases, guardrails, RACI, auditability), ensuring consistent adoption that improves throughput and quality without increasing risk. Defines and enforces measurable ...

functional partners Familiarity with customer journeys, user-centered design, feature prioritization, product strategy, roadmap planning, requirements definition, user stories, and launch readiness Understanding of AI concepts, including prompt design, model capabilities and limitations, responsible AI practices, human-in-the-loop review, and AI output evaluation Experience using tools such … experimentation, and operational data (preferred) Interest in user research, design thinking, usability testing, accessibility, journey mapping, inclusive design, and service excellence (preferred) Experience using AI-enabled product and delivery practices (preferred) Core Competencies Demonstrates expertise in product management, Agile methodologies, and user-centered design, with a strong focus on collaboration ...

focused on creating a modern, integrated financial crime technology ecosystem spanning client onboarding, screening, transaction monitoring, client risk management, workflow orchestration, data platforms and AI-enabled capabilities. You will work closely with senior stakeholders across Technology, Risk, Compliance, Data and Operations to deliver a scalable, resilient and future-ready architecture … Lead architecture assessments and platform rationalisation initiatives across multiple enterprise applications. Define integration patterns, API standards, event-driven architectures and data governance frameworks. Shape AI-enabled financial crime capabilities including alert optimisation, case investigation support and anomaly detection. Establish architecture guardrails covering security, resilience, auditability, regulatory traceability and model governance. ...

building a new enterprise-wide Financial Crime data platform that will underpin key capabilities including transaction monitoring, client screening, onboarding, risk assessment and future AI-driven decision making. The Role This is a highly visible role sitting at the intersection of: Data Engineering Financial Crime Data Architecture Governance AI Enablement … quality, lineage, governance and reconciliation controls Create MI and reporting solutions that provide visibility of alerts, investigations, risk trends and operational performance Support future AI and automation initiatives through AI-ready data products Partner with Compliance, Risk, Operations and Technology teams to define and deliver data requirements Establish data engineering ...

Governance and Data Transformation? We're partnering with a leading technology and transformation business that is continuing to invest heavily in its growing Data & AI capability. Due to continued growth and a strong project pipeline, opportunities are available for experienced data professionals from mid-level through to leadership positions. Working … Master Data Management (MDM) capabilities Designing scalable cloud-based data solutions Working with senior business and technology stakeholders Collaborating with Data Engineers, Architects and AI specialists Supporting enterprise-wide data modernisation programmes Delivering projects within Agile environments Why Join? Join a rapidly growing AI & Data function Work on enterprise-scale ...

Overview We are looking for a Principal Software Engineer to join a small, highly experienced Epicor Labs team that transforms innovative AI concepts into enterprise‐grade products trusted by enterprise customers. This hands‐on engineering role involves designing and building AI capabilities across Epicor’s ERP portfolio. Responsibilities Design … build the next generation of AI capabilities across Epicor’s ERP portfolio. Lead rapid PoC and MVP exploration of new AI capabilities and evolve successful ones into production‐grade services. Design and build cloud platform services, APIs, data layers, and integrate them with large, established ERP products. Bring research & development ...

looking for a hands‐on Technology Consultant to lead the envisioning, architecture, and delivery of Microsoft automation and agentic AI solutions. You’ll shape roadmaps with executive stakeholders, design and build Copilot Studio (Full), Power Platform, Dynamics 365, and Azure AI solutions, and drive measurable business impact (adoption, cycle time … reduction, presales hours saved, and cost per agent action). Key Responsibilities Technology Consulting Lead discovery and envisioning workshops to identify high‐value AI use cases; define problem statements, success metrics, and ROI (e.g., cycle time reduction, presales hours saved, cost per agent action). Translate business requirements into solution ...

Aioi R&D Lab – Oxford is an AI R&D company based in Oxford, on a mission to harness AI to understand, predict, and manage risk, helping build a safer, more resilient society. We sit at the intersection of academia and industry, working with Oxford's professors, researchers, and graduates … alongside commercial spinouts and partner companies, to turn frontier research into AI that actually ships rather than just gets published. Our work spans applied AI for insurance and adjacent industries, including supply chains, nature, autonomous driving, and the emerging challenges nobody's solved yet, alongside deep research ...

/CD pipelines, Infrastructure as Code, and DevOps practices. Develop automated tests and support quality engineering standards. Monitor, maintain, and optimise production systems. Leverage AI-assisted development tools throughout the software lifecycle. Collaborate with Product, UX, Marketing, and Engineering teams. Technical Requirements Essential React.js Next.js Node.js TypeScript REST APIs Cloud … DevOps Infrastructure as Code Automated testing Agile delivery Desirable Python Serverless architectures Headless CMS platforms SaaS search platforms Observability and monitoring tools AI engineering and AI-assisted development We believe in equal opportunity for all and actively encourage applications from diverse backgrounds, experiences, and perspectives. #J-18808-Ljbffr ...

clients structure, operate and grow through our expertise, innovation and digitisation, backed by the operational scale to support global expansion SUMMARY Reporting to the AI and Automation Manager, the Lead Automation Engineer will be vital to the success of Waystone’s engineering, integration, automation and assurance capabilities. The role leads … strategic technologies — the role sets the standards, reusable patterns and guardrails for building reliable, secure and supportable automations. The role increasingly draws AI into workflows as a step, such as LLM calls to classify, extract or summarise, working in close partnership with the AI Engineering team, which owns agents ...

looking for a Software Engineer to join an AI leader in governance, risk and compliance. The client You’ll be building cloud software that matters, growing your technical depth, and use modern AI tooling to do your best work. This is a hands‐on engineering role for someone who enjoys … collaborative product engineering team where you can own features, contribute to design discussions, support production systems, and keep growing across backend, cloud, and AI‐assisted development workflows. The role Design, build, test, and improve backend services and APIs using Node.js, TypeScript, and AWS. Take ownership of well‐defined features from ...

many conditions remain unclear, limiting our ability to identify the right targets, design the right interventions and bring the right medicines to patients. The AI Accelerator exists to change that.Based in London and sitting within Computational Innovation (@computationalinnovation), a global organisation spanning computational biology, human genetics, data excellence and AI … Accelerator's mission is to build production-quality AI capabilities that deepen our understanding of disease biology and increase probability of success. We do this by applying neural-based methods across the biomedical data landscape to integrate heterogeneous, multimodal data sources, infer biological relationships and embed causal thinking into what ...

Описание: Bohringer Ingelheim’s AI Accelerator builds production-quality AI capabilities to improve understanding of disease biology and increase the probability of successful medicines. The AI Systems team designs, builds and deploys multimodal foundation models across biomedical data to enhance and accelerate portfolio decision-making. Задачи: Bring ML engineering expertise … MLOps engineers with documentation covering capabilities, known limitations, failure modes and retraining criteria; Stay current with advances in ML engineering, distributed training and biomedical AI tooling. Требования: Hold a postgraduate degree in Machine Learning, Computer Science, Computational Biology or a related technical field; Have a PhD or an MSc with ...

technology across its Tax & Legal business. Youll join a 300+ strong technology function, working at the forefront of how software, cloud and generative AI are transforming the way tax and legal services are delivered. This is a hands-on technical leadership role where youll lead and mentor Software … large portfolio of systems, including internal platforms and client-facing web applications, with a strong focus on modern cloud technology, automation and emerging AI capabilities. What youll be doing Lead and mentor Software and QA Engineers across multiple projects Stay hands-on with software design, development and technical delivery Build ...

related field, or equivalent practical experience. 5 years of experience with software development using Python or similar coding languages. Experience taking production‐grade AI‐driven solutions from conception to launch and architecting AI systems on cloud platforms (e.g., GCP). Experience building pipelines for structured and unstructured data using both … vector databases and RAG‐like architectures to power enterprise AI solutions. Experience leading technical discovery sessions with customers. Active, or the ability to obtain, a Security Check (SC) UK security clearance. Preferred qualifications: Master’s degree or PhD in AI, Computer Science, or a related technical field. Experience implementing multi ...

play a key role in shaping enterprise data strategies? We're partnered with a leading technology consultancy that is investing heavily in its Data & AI capabilities following a significant increase in customer demand. This is an opportunity to join a business operating at the forefront of Microsoft's Data & AI … value of their data through Microsoft Fabric, Azure and modern analytics solutions. With a strong reputation in the Microsoft space, ongoing investment in Data & AI, and clear opportunities for career progression, this is the ideal environment for someone who enjoys combining technical expertise with customer engagement and advisory work. ...

Forward Deployed Engineer London - Hybrid Two founding appointments for product-minded software and AI engineers who want to work directly with business teams and own solutions from discovery through live deployment and measurable impact. The company and the opportunity Our client develops, finances, builds, owns and operates the flexible infrastructure … grown from a developer into an integrated operating platform with a substantial UK portfolio and European growth ambitions. Our client is establishing an Applied AI capability to improve how work gets done across the asset lifecycle, from development and construction through operations, optimisation and trading. The approach is to solve ...

Tactics is a pioneering technology company specializing in advanced autonomy for squad robotic systems. We’re blending cutting-edge computer vision, ML, multi-agent AI and probabilistic inference techniques into autonomous UxV solutions for complex, mission-critical operations. Our team is dedicated to pushing the boundaries of robotics and AI … offer a dynamic and collaborative work environment where creativity and problem-solving are highly valued. About the Role At MT we are developing AI capabilities to orchestrate UAVs together, even if heterogeneous (with different capabilities) or built by different OEMs to solve complex missions such as the ability to search ...

U.S. agencies in a FedRAMP Moderate Authorized environment. For more information, please visit www.synack.com . We are looking for a Graduate Software Engineer (AI), where you'll take a hands-on lead in designing and building cutting-edge, AI-centric systems tailored for the offensive security sector. You will directly … drive product innovation at the intersection of AI and cybersecurity. Sounds interesting? Keep reading... Here’s what you'll do Design, implement and deliver scalable AI-centric software systems Help to drive the development of agentic AI capabilities for identifying vulnerabilities, automating penetration testing processes, workflow optimization and enhancing threat ...

Scale AI, we’re not just building AI tools—we’re pioneering the next era of enterprise AI. As businesses race to harness the power of Generative AI, Scale is at the forefront, delivering cutting-edge solutions that transform workflows, automate complex processes, and drive unparalleled efficiency for the largest … enterprises. Our Scale Generative AI Platform (SGP) provides foundational services and APIs, enabling businesses to seamlessly integrate AI into their operations at production scale. We’re looking for a Backend Engineer to help bring large-scale GenAI systems to production. In this role, you’ll build the core infrastructure that ...

teams across the organisation. About the role As a Data Scientist, you’ll be responsible for developing machine learning models and designing AI‐driven workflows to process and extract value from data. You’ll also create reusable features using SQL and Python to support scalable and consistent use across … reporting infrastructure. Your day‐to‐day responsibilities will include: Developing, testing and deploying predictive machine learning models within Azure (e.g., Azure ML, Azure AI Foundry). Monitoring and evaluating model performance, implementing iterative improvements and retraining where required. Designing and implementing AI‐driven workflows to analyse data and generate actionable ...

About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER … platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER ...

processes, usage, or recent software releases, routing unresolved problems to relevant teams. Proactively identify opportunities to improve monitoring, investigation, and incident resolution processes using AI tools and automation to streamline workflows and enhance response times. To be successful in this role, we’re seeking the following: Technical skills: Excellent … Understanding of Message Queuing (i.e. IBM WebSphere MQ or Microsoft MQ etc.) Knowledge of any issue/problem tracking system such as ServiceNow Common AI tools (e.g., Microsoft Copilot, ChatGPT, GitHub Copilot) to support troubleshooting, documentation and automation AI Automation Agentic AI Prompt Engineering Soft Skills: Excellent verbal and written ...

breakdown technical problems Develops secure and high-quality production code, and reviews and debugs code written by others 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 … support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team. Establishes clear “where AI helps/where it must not” guardrails for the SDLC (design, coding, testing, deployment, operations), ensuring sensitive data handling and secure engineering practices are consistently ...

experienced engineers who are passionate about clean code, scalable architecture, and continuous improvement — and you'll have the opportunity to explore emerging technologies like AI and GenAI from day one. As a Software Engineer II at JPMorganChase within [Insert Team Name/Line of Business], you will ship secure, full … Contribute to communities of practice across software engineering by sharing knowledge, supporting adoption of modern technologies, and promoting engineering best practices Leverage 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 ...