26 to 50 of 22,231 AI Jobs

multiple complex domains, you will serve as the premier technical authority, designing mission-critical enterprise systems, overarching data ecosystems, and leading our artificial intelligence (AI) integration strategy.The successful candidate will set the architectural target state, establish design patterns for highly resilient systems, and ensure technical coherence across a highly heterogeneous … technology stack. You will partner with business stakeholders and engineering management to translate strategic objectives into robust, scalable, secure, and AI-ready architectures, navigating the complexities of a highly regulated, high-expectation environment.What You’ll Bring (Experience & Competencies)Extensive Architectural Experience: 8+ years of hands-on experience in software engineering ...

functions to prioritise initiatives and drive adoption. Define acceptance criteria and maintain quality standards for reporting and analytical solutions. Promote best practices in analytics, AI, cloud technologies, and modern data delivery. Support business development activities, including solution design, proposal creation, effort estimation, and project planning. Create reusable frameworks, delivery methodologies … DevOps, Jira, Confluence, SharePoint, or equivalent collaboration platforms. Desirable Qualifications Degree in a technical, analytical, scientific, or related discipline. Professional certifications in cloud, analytics, AI, data engineering, or data science. Certifications across Azure, AWS, Snowflake, Databricks, or GCP. Agile certifications such as Scrum Master or SAFe Agilist. Cloud architecture certifications ...

intelligent solutions. Lead with insight. Drive data innovation. The RoleWe're looking for a Data Science Manager to lead innovative projects that apply data, AI, and machine learning to solve complex challenges across financial services. You'll guide talented data professionals, collaborate closely with business stakeholders, and drive impactful, scalable … solutions that deliver measurable business value. You'll champion AI-enabled ways of working, encouraging the responsible use of approved AI tools and automations to improve delivery quality, productivity, and insight while maintaining appropriate human oversight and governance. What You'll DoLead data science teams to design, develop, and deploy ...

build intelligent systems that drive commercial and customer outcomes while mentoring others and collaborating in a dynamic, multi-disciplinary environment. You'll also embrace AI-enabled ways of working, using approved AI tools where appropriate to enhance delivery while applying sound professional judgement. What You'll DoLead … complex business challenges using modern techniques and tooling. Collaborate closely with engineers, domain experts, and business teams to translate requirements into deliverables, using approved AI tools where appropriate to improve efficiency and accelerate insight. Guide and coach data science pods, supporting skill development and solution design. Act as a subject ...

throughout the team. This position offers the opportunity to shape large-scale data ecosystems, implement modern engineering practices and enable next-generation analytics and AI-driven solutions. Responsibilities Lead the architecture, design and build of large-scale data platforms using Azure Databricks and modern cloud technologies Implement and optimize … Infrastructure as Code and automated testing in data engineering environments Implement observability and monitoring using tools like Databricks Workflows and related frameworks Contribute to AI-driven initiatives by leveraging Databricks ML/MosaicML to integrate Generative AI and LLM-based solutions Requirements Bachelor’s or Master’s degree in Computer ...

work that matters - to you, to your community, and to the world. Progress starts with you. \n \n Job Description \n \n Build AI-driven automation that powers reliability at global scale. \n Work on real engineering problems, writing production-grade software that improves resilience, automation, and operational efficiency across … problems and drive solutions \n Engineering-first mindset - strong emphasis on software development, automation, platform engineering, and long-term reliability improvements \n AI-driven innovation - build intelligent automation, agent-based workflows, and next-generation reliability solutions \n Meaningful ownership - work on systems that directly improve operational efficiency, resiliency, and engineering ...

part of something bigger. As a Senior Data Scientist within Kainos’ Workday Products division , you'll be responsible for developing high quality AI and ML solutions for our fast growing suite of Workday products – including Kainos Smart (Smart Test, Smart Audit and Smart Shield), Employee Document Management and Pay Transparency … Analyzer. You will work on the design and delivery of advanced AI/ML solutions that improve the functionality, scalability and efficiency of our Workday product suite. You may also carry some formal line management responsibilities, including appraisals, for more junior members of the team. Essential Experience: Typically ...

platform such as Snowflake or PostgreSQL, they will join a squad designing, developing and supporting solutions that advance business capabilities in Investment Technology, applying AI-assisted tooling and techniques where they add value. Working across the full software development lifecycle, from requirements and design through to build, test, deployment … process administration within the squad. Working in partnership with more experienced staff, their responsibilities will expand based on developing capabilities, including growing exposure to AI/ML and GenAI approaches. A key part of the role is collaborating with colleagues across Investment Technology & Distributions, Cloud Teams, and Tech departments including ...

platform such as Snowflake or PostgreSQL, they will join a squad designing, developing and supporting solutions that advance business capabilities in Investment Technology, applying AI-assisted tooling and techniques where they add value. Working across the full software development lifecycle, from requirements and design through to build, test, deployment … process administration within the squad. Working in partnership with more experienced staff, their responsibilities will expand based on developing capabilities, including growing exposure to AI/ML and GenAI approaches. A key part of the role is collaborating with colleagues across Investment Technology & Distributions, Cloud Teams, and Tech departments including ...

machine learning on large data sets, along with experience of developing and managing the full model development life cycle of machine learning and AI products from concept to production. We’ll also look to you to bring the ability to demonstrate leadership, self-direction and a willingness to both teach … drive pricing strategies of financial products, simulation techniques and core concepts of deep learning and Bayesian statistics are also required Expertise in developing Gen AI, Agentic AI tools for chat bots in addition to understanding workflows and evaluation methods to measure and monitor performance at scale Managing ML, AI models ...

machine learning on large data sets, along with experience of developing and managing the full model development life cycle of machine learning and AI products from concept to production. We’ll also look to you to bring the ability to demonstrate leadership, self-direction and a willingness to both teach … drive pricing strategies of financial products, simulation techniques and core concepts of deep learning and Bayesian statistics are also required Expertise in developing Gen AI, Agentic AI tools for chat bots in addition to understanding workflows and evaluation methods to measure and monitor performance at scale Managing ML, AI models ...

compensation related questions, including pay details for this role. Job Description The TDS Research Technology team is responsible for delivering the data, analytics, and AI platforms that support Research business capabilities globally. From Belfast, this role will help build the strategic Research data platform leveraging Databricks, enabling reusable data products … modern analytics, and future AI solutions across the organization. Role Description We are seeking a Senior Data Engineer to help build and evolve the strategic Research data platform in Databricks. Working as part of a global Research Technology team, this role will focus on developing scalable data pipelines, governed data ...

join Allocation Strategy's technology team. This is a hands‐on, early‐stage role at the intersection of software engineering, quantitative modelling, applied AI, and investment analytics . You will work closely with the company founders, including the Heads of Technology and Research, to design, build, and evolve the firm … modelling and analytics. Prototype and help harden new modelling approaches, analytical tools, and platform features. Work across the design and build of our internal AI layer, including LLM integrations, MCP servers, and agentic tooling, to automate research workflows and deliver analytical insights within the client‐facing platform. Help with ...

overall maturity of the function. They will contribute to the most complex analyses and help introduce new techniques, including the practical application of AI tools within the analytics workflow. Duties and Accountabilities Business partnering and value‐added analytics Act as the senior analytics business partner to one or more underwriting … with the wider business to identify areas of automation and acceleration to improve operational efficiency. Identify practical opportunities to enhance the analytics workflow with AI tooling -for example, using LLMs and agentic tools for data exploration, code generation, documentation, and surfacing insight to underwriters. Support the Data Analytics Manager ...

multiple directories/tenants, M&A integrations, directory consolidation, app migrations). Familiarity with Zero Trust principles and identity-centric security patterns. Experience applying AI agents or AI-assisted support in IT or security operations with strong governance and auditability. A sound understanding of Identity and Access Management processes … such as NIST, CRI, DORA, SOX. Excellent written and verbal communication skills. Preferred: Knowledge of Privileged Access Management principles, process and tools Experience applying AI agents or AI-assisted support in IT or security operations with strong governance and auditability. Exposure to cloud identity patterns (AWS, Azure ...

witness your growth within our organization. All Visa roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work. Visa requires at least 3 days in office, expectations of these days will be confirmed by your … REST APIs, and test frameworks (e.g., Selenium). Exposure to cloud technologies (AWS), databases (MySQL), or data visualization (Power BI). Understanding of Generative AI tools and concepts (framework usage, integration, prompt design). Knowledge of software engineering principles, testing, and version control. Strong problem-solving and analytical skills. Ability ...

following areas: Programming and software development Web development Database systems Cloud computing Networking Cybersecurity IoT and emerging technologies Business IT systems IT management AI and Machine Learning Operating Systems UI/UX You will have experience supervising student work and providing support and feedback You will have experience of accurate ...

pivotal role in guiding enterprise clients through their data platform modernisation journey, leveraging Microsoft Fabric's capabilities to enable data democratisation, advanced analytics, and AI-driven insights. As a trusted advisor, you will collaborate with client partners, business stakeholders, and technology teams to define Microsoft Fabric strategies, design robust architectures ...

beyond. The Work itself: Build Agentic Solutions using world's most advanced LLM models from Anthropic, OpenAI and others Build Deep Learning solutions using AI/ML Platforms for real time transactions at a scale of 100K+ TPS and for peta bytes of Data. Design code and systems that touch ...

Leadership of small work packages.* Mentoring and knowledge sharing.* Proven experience in data engineering.* Strong Python and SQL skills.## Desirable:* Degree in STEM, Data, AI, or Programming-related field* Experience influencing technical decisions and supporting capability growth.* Experience with CI/CD practices* Experience with big data tools e.g. Spark ...

Description Job Description Job Title: Artificial Intelligence Senior Associate Location: Dearborn, MI (local preferred) Duration: 12 Months (with potential for extension) Interview: Interview onsite in South Lyon/Novi, MI Candidate must be USC or GC. Do not apply for C2C. It will be a hybrid position. REVIEW JD MAKE … enable self-service capabilities Perform large-scale experimentation and develop data driven applications that translate data into actionable intelligence Drive innovative applications of Artificial Intelligence tools and techniques such as deep learning, generative AI, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants and specialized ...

AI Consulting –Sr. AI Architect & Client Partner Trending Job Info Job Identification 17708 Posting Date 07/30/2026, 11:26 AM Job Role AI Engineer-AI Solutions Architect Experience (In Years) 12-15 Job Location London, United Kingdom Job Description EXL (NASDAQ: EXLS) is a global data … artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of data, AI, and deep industry knowledge to transform businesses, including the world’s leading corporations in industries including insurance, healthcare, banking and financial ...

Full-Time Analyst in the Data & AI Program at JPMorganChase, you will drive impact by building end-to-end data, analytics, and artificial intelligence and machine learning solutions that translate business objectives into measurable outcomes for clients and customers. Working alongside global experts in collaborative teams, you will design scalable … value your ideas and help you grow. Job Responsibilities Build intelligent systems that power real business outcomes, from machine learning models to generative artificial intelligence and agent-based solutions. Work hands-on with cutting-edge technologies to design, develop, and deploy artificial intelligence capabilities that automate processes and enhance decision ...

seeking an AI Engineer for Autonomy to design, develop and deliver advanced Artificial Intelligence and Machine Learning solutions within complex and safety-critical environments. Working within a multidisciplinary AI and software engineering team, you will transform business and operational challenges into robust, scalable and secure AI capabilities. This role offers … DevOps/MLOps principles. Strong stakeholder engagement and communication skills with both technical and nontechnical audiences. Degree, Master's qualification or equivalent experience in Artificial Intelligence, Software Engineering, Data Science or a related discipline. Eligible to obtain UK Security Clearance (SC). DESIRABLE SKILLS: Experience with MLflow, Weights & Biases ...

KPMG is driving innovation at the intersection of auditing and advanced technological solutions, reshaping the future of audit delivery. By combining expertise in Artificial Intelligence, Data Engineering, Data Analytics, and Software Development, the team is revolutionising the auditing process to deliver smarter, faster, and more reliable outcomes. Our mission … Audit Technology function with the skills and knowledge to adopt and adapt AI innovations effectively. Requirements· Bachelor (preferably master or PhD) in Computer Science, Artificial Intelligence, Data Science, Statistics, Engineering, or a related technical field — or equivalent professional experience.· Strong knowledge of generative AI, machine learning, deep learning, natural language ...