1 to 25 of 4,720 Artificial Intelligence Jobs

Sand Technologies is a fast-growing enterprise AI company that solves real-world problems for large blue-chip companies and governments worldwide. We're pioneers of meaningful AI : our solutions go far beyond chatbots. We are using data and AI to solve the world's biggest issues in telecommunications, sustainable water management, energy, healthcare, climate change, smart cities, and other … areas that have a real impact on the world. For example, our AI systems help to manage the water supply for the entire city of London. We created the AI algorithms that enabled the 7th largest telecommunications company in the world to plan its network in 300 cities in record time. And we built a digital healthcare system that enables More ❯

as Kafka, Airflow, and Spark to build scalable and efficient data pipelines Ability to design, build, and deploy data solutions that capture, explore, transform, and utilize data to support AI, ML, and BI Strong ability in programming languages such as Java, Python, and C/C++ Ability in data science languages/tools such as SQL, R, SAS, or Excel More ❯

Corp Office West Crk - 12800 Tuckahoe Creek Parkway, Richmond, Virginia, 23238 CarMax, the way your career should be! About this job At CarMax, a Senior Technology Manager, AI & ML is a key leader in providing reliable and scalable machine-learning capabilities across the organization. The Senior Technology Manager will be responsible for overseeing multiple portfolios of ML and AI capabilities … you will support managers and their teams of engineers to help prioritize business needs and drive innovative solutions for two teams. One of those teams is focused on Generative AI use cases and helping to accelerate partner teams development using Generative AI. The second that this manager will support is focused on customer journey modeling and guiding CarMax customers through … their optimal buying journey by providing predictive inputs at key moments. The ideal candidate will have a passion and understanding of Data Science, Machine Learning and AI and will have the substantial experience in software engineering and cloud engineering that is necessary to turn those models into highly visible, mission-critical capabilities that drive CarMax’s iconic customer experience. Essential More ❯

Assistant Vice President Cognitive Engineering Products and Services (Gen AI) Salary: Negotiable (Market) + Top 5 Company Benefits + Bonus Location: Hybrid out of Vienna, VA Position Type: Direct Hire, Permanent - full benefits/bonus etc Requirements The Cognitive and Generative-AI Engineering team, within the Enterprise Data and Information Management (EDIM) department, is responsible for designing and implementing advanced … AI systems to enhance and scale AI adoption across the organization. This pivotal role drives the AI Center for Enablement by leading skilled AI Engineering talent and AI Operations, spurring innovation, attracting top talent, and fostering collaboration with business partners, Enterprise Technology Services, Enterprise AI Strategy, The AI Working Group, and external technology partners. Additionally, this person will operationalize an … Enterprise AI Anchor Platform, nurture an AI-as-a-service culture, and enable the organization to maximize the value from AI investments. The successful candidate will provide delivery and ongoing support for data science, advanced analytics, and augmented intelligence technologies, executing on the strategic vision and ensuring the effective implementation of AI initiatives across the organization, while demonstrating strong More ❯

Job Description: The Cognitive and Generative-AI Engineering team, within the Enterprise Data and Information Management (EDIM) department, is responsible for designing and implementing advanced AI systems to enhance and scale AI adoption across the organization. This pivotal role drives the AI Center for Enablement by leading skilled AI Engineering talent and AI Operations, spurring innovation, attracting top talent, and … fostering collaboration with business partners, Enterprise Technology Services, Enterprise AI Strategy, the AI Working Group, and external technology partners. Additionally, this person will operationalize an Enterprise AI Anchor Platform, nurture an AI-as-a-service culture, and enable the organization to maximize the value from AI investments. The successful candidate will provide delivery and ongoing support for the clients's … data science, advanced analytics, and augmented intelligence technologies, executing on the strategic vision and ensuring the effective implementation of AI initiatives across the organization, while demonstrating strong communication, technical leadership, and organizational skills. They will assist in leading the coordination of strategic program delivery across Enterprise Data & Information Management (EDIM) disciplines. The incumbent will be considered a subject matter More ❯

Velocity-X is seeking a highly motivated and self-directed professional to fill the role of Artificial Intelligence (AI) Engineer to support our team in Northern Virginia. Responsibilities: Design, develop, and implement scalable AI/ML computing infrastructures and application stacks. Build and deploy machine learning models and AI solutions from scratch. Transform machine learning models into APIs … for integration with other applications. Collaborate with data scientists, software engineers, and business stakeholders to understand requirements and deliver AI solutions. Conduct statistical analysis and interpret results to guide and optimize decision-making. Manage data ingestion, preprocessing, and feature engineering to ensure data quality for model training. Optimize AI algorithms for performance, scalability, and efficiency. Stay up-to-date with … the latest AI and machine learning advancements, research, and tools. Troubleshoot and resolve AI-related issues, ensuring the reliability and accuracy of AI applications. Document architecture roadmaps, reference architectures, and standard operating procedures for AI solutions. Potentially lead cross-functional teams in identifying and prioritizing areas where AI can provide business benefits. Advise stakeholders on AI strategy, technology, and policy More ❯

perceptual design principles What You'll Need Required: Bachelor's degree in Engineering, Computer Science, Analytics, or related field with 7-10 years of experience 5+ years leading business intelligence or analytics engineering teams delivering production-grade solutions using Power BI, Tableau, and enterprise-scale data platforms Deep understanding of semantic modeling, star and snowflake schema design, dimensional modeling … Azure, AWS, or GCP, including cloud-native storage and computer solutions Experience with enterprise data warehousing platforms such as Databricks, Snowflake, Redshift, Synapse, or similar technologies Experience with generative AI and natural language technologies such as Microsoft Copilot, Salesforce Einstein, Databricks Ginni, or other LLM-driven analytics tools Experience leading solution design and implementation using cloud data lakes, and version More ❯

in Python-including pandas, scikit learn, TensorFlow/PyTorch, LightGBM/XGBoost-and experience with SQL. Hands on experience with cloud ML platforms (AWS SageMaker, Azure ML, or Google AI Platform). Solid understanding of software engineering fundamentals: version control, code reviews, automated testing, and containerization. Familiarity with FX markets, risk management concepts, or financial forecasting. Excellent problem solving skills More ❯

alongside exceptional service, to deliver personalised experiences that meet our customers ever-changing needs today and in the future. Job Description We currently have a phenomenal opportunity for an AI Engineer to join our us as we enhance our customer experience by harnessing the power of NLP, large language models, and flawless integration with third-party GenAI services. In this … dynamic role, you'll be involved in every stage of the AI lifecycle, from brainstorming ideas and crafting prompts to fine-tuning models and deploying them into production. Success in this role is measured through rigorous A/B testing, ensuring our solutions deliver real value. You'll have the opportunity to work on a variety of impactful projects across … vision to fix insurance for good. What you’ll do: Collaborate with business partners to identify use-cases where GenAI can provide measurable benefits. Support the data science and AI team in deploying scalable AI applications across the enterprise. Work with a multi-functional team (DevOps, data engineers, developers, testers, Infosec) to productionize AI services on AWS. Enhance our tech More ❯

code reviews to ensure project teams produce clean, maintainable code. Evaluate and benchmark all new initiatives prior to developing solutions. Maintain awareness of emerging engineering methodologies and advancements in artificial intelligence, while continually refining our Agile processes and fostering strong collaborations with academia, IDT, and industry partners. Contribute to community building initiatives like Quant Capability Centre for Shell … can grow into a roleWe are keen to hear from candidates with the following: Postgraduation/PhD with substantial years' work experience as software developer/data scientist/AI engineer. Degree level in STEM, computer science, engineering, mathematics, or a relevant field of applied mathematics. Good understanding of Trading terminology and concepts (incl. financial derivatives), gained from experience working More ❯

of working experience in leading the end-to-end design, development and support of data management disciplines including [data platforms, data integration, modeling, optimization, Master Data Management (MDM), Business Intelligence reporting tools, Data Governance/Quality], and other relevant experience such as quality engineering, release management, monitoring and production support 5+ years’ experience building enterprise-grade solutions with Microsoft … is preferred. Experience with Snowflake, Databricks, Azure Data Factory and other Azure services, Tableau/Power BI Experience with Data Orchestration and Observability technologies and platforms Familiarity with Azure AI services (Azure Machine Learning, Azure Cognitive Services) and Model Development and Deployment (ML Flow, Azure ML), container orchestration (Kubernetes, Docker), Machine Learning, MLOps, Microservices and Event-driven architecture Work Authorization More ❯

analysis; reengineering of court processes; strategic foresighting; and leadership and governance. To learn more about NCSC, visit NCSC.org NCSC seeks candidate to provide strategic leadership on data science (DS) & AI to advance work of state courts & other justice systems. Applicants must possess: (i) PhD in DS, data analytics, economics, public policy, or social science-related field; (ii) 3yr exp leading … DS projects in justice system environment (e.g. LLM-based chatbots, data visualization dashboards, big data collection/processing initiatives, database administration), which includes: published peer-reviewed research on AI applications w/judicial systems; published open-source software for DS or court community; demonstrated exp transforming complex DS solutions to production-ready apps for court systems; demonstrated success: securing funding … via competitive research grant to improve justice systems, & build/maintain strategic partnerships w/court partners, funding agencies & justice system stakeholders; exp w/DS & AI thought or facilitative leadership via speaking engagements, workshops or technical presentations to national court community; serving minimum 1 yr as supervisor for DS staff; (iii) Demonstrated ability to: represent organization in professional manner More ❯

you will define and build our entire data ecosystem from the ground up. You will design, implement, and operate the production-grade infrastructure that becomes the backbone of our AI-native SaaS product. Your mission is to turn complex business requirements into scalable data solutions, from sophisticated multi-tenant cloud architectures and robust ELT pipelines to observable workflows that power … our AI systems. Partnering closely with product and AI engineering teams, you will own the full lifecycle of the data platform, making a direct and visible impact on what we deliver to clients. This is a remote role and a rare opportunity to shape a global product at its earliest stage while working hands-on as part of a small … scaling mechanisms for multi-tenant environments Design and support SaaS observability practices covering SLA monitoring, usage metering, and compliance adherence Collaboration and Leadership Collaborate with Data Analysts, Data Scientists, AI Engineers, and Business Stakeholders to translate product requirements into scalable cloud-based solutions Mentor data engineers and future team members as the organization grows Proactively troubleshoot and resolve platform issues More ❯

You will be part of a team designing and building a Gen AI virtual agent to support customers and employees across multiple channels. You will build and run LLM-powered agentic experiences, owning the design, orchestration, MLOps, and continuous improvement. Design & build client-specific GenAI/LLM virtual agents Enable the orchestration, management, and execution of AI-powered interactions through … purpose-built AI agents Design, build and maintain robust LLM powered processing workflows Develop cutting edge testing suites related to bespoke LLM performance metrics Craft context-aware, multi-channel self-service experiences Develop bespoke testing suites and LLM performance metrics CI/CD for ML/LLM: automated build/train/validate/deploy pipelines for chatbots and agent More ❯

machine learning and statistical modelling techniques, from classical linear models and tree-based methods to advanced deep learning architectures. Practical experience with, or demonstrable capability for, applications of Generative AI, Large Language Models (LLMs), and related areas such as Natural Language Processing (NLP) or Computer Vision, relevant to business solutions. Solid understanding of foundational statistics and experimental design. Familiarity with … Impact and Achievements: As a Principal Data Scientist, your success will be measured by your ability to: Pioneer the development and robust deployment of highly impactful machine learning and AI-driven solutions, directly contributing to significant commercial value, quantifiable business growth, or efficiency gains across the organization. Translate complex data science insights into tangible, measurable improvements across critical business processes … the real-world adoption and beneficial outcomes of our analytical work. Actively elevate the technical maturity and capabilities of the data science team by shaping and implementing industry-leading AI, data, and analytics techniques, methodologies, and engineering best practices. Work with amazing people and be part of a unique culture Why work here? If you want to help build a More ❯

machine learning and statistical modelling techniques, from classical linear models and tree-based methods to advanced deep learning architectures. Practical experience with, or demonstrable capability for, applications of Generative AI, Large Language Models (LLMs), and related areas such as Natural Language Processing (NLP) or Computer Vision, relevant to business solutions. Solid understanding of foundational statistics and experimental design. Familiarity with … Impact and Achievements: As a Principal Data Scientist, your success will be measured by your ability to: Pioneer the development and robust deployment of highly impactful machine learning and AI-driven solutions, directly contributing to significant commercial value, quantifiable business growth, or efficiency gains across the organization. Translate complex data science insights into tangible, measurable improvements across critical business processes … the real-world adoption and beneficial outcomes of our analytical work. Actively elevate the technical maturity and capabilities of the data science team by shaping and implementing industry-leading AI, data, and analytics techniques, methodologies, and engineering best practices. Work with amazing people and be part of a unique culture Why work here? If you want to help build a More ❯

facilities. Information collected and processed through your application with INSPYR Solutions (including any job applications you choose to submit) is subject to INSPYR Solutions' Privacy Policy and INSPYR Solutions' AI and Automated Employment Decision Tool Policy: By submitting an application, you are consenting to being contacted by INSPYR Solutions through phone, email, or text. More ❯

Overview Senior AI Engineer - Generative AI and Search - Artificial Intelligence Location: London Business Area: Engineering and CTO Ref #: Responsibilities Developing and deploying robust Retrieval-Augmented Generation (RAG) systems, curating high-quality data for model training and evaluation, and building evaluation frameworks to enable rapid iteration and continuous improvement based on real-world user interactions. Designing and implementing … tools that enable LLM-powered search agents to effectively handle complex client queries, shaping Bloomberg's generative AI ecosystem, and scaling these innovative solutions to support thousands of users. Leveraging both traditional ML approaches and Generative AI to prototype, build, and maintain high-performing, client-facing search and streaming applications that deliver timely and relevant financial insights. Building robust APIs … relevant results and maintaining system stability and reliability. What You'll Have the Opportunity To Do Collaborate closely with cross-functional teams, including product managers and engineers, to integrate AI solutions into client facing products, enhance analytical capabilities and improve user experience. Architect, develop, and deploy production-quality search systems powered by LLMs, emphasizing both ML innovation and solid software More ❯

Overview Do you want to be at the heart of some of the biggest and most ambitious AI & Data projects? Technology & Transformation: How do you make intelligent, future-proof decisions in a world where change is the one constant? That's exactly what you'll help our clients to do. You'll build trusted relationships with business stakeholders - and use … take, guiding us to deliver impact how and where it matters most. Connect to your opportunity We are seeking to hire experienced Lead GenAI System Architect(s) in the AI Institute, which is a centre of excellence in Deloitte's Engineering, AI & Data service offering. You will be working with clients and other third parties, as well as Deloitte teams … across the Firm. You will have the opportunity to work with a huge variety of interesting, international, and world-leading clients who are navigating an evolving marketplace where Generative AI is taking artificial intelligence to a new level. This technology has the potential to transform various industries by creating higher-order opportunities such as new services, business models More ❯

DTS is looking for AI Developer for our direct client Position in Lansing, MI. Top Skills & Years of Experience: 3+years in TensorFlow, PyTorch, Keras, or Scikit-learn. 3+ years in microservices. 3+years in SpaCy, NLTK, or Hugging Face's 3+years in Tesseract, Google Vision API, or AWS Textract. 3+years in Dialogflow ES or CX, Google Assistant SDK, or other Google … R, and/or Pandas. 3+ years in cloud computing and software development. 3+ years software development in Python, Java, JavaScript. 3+ years implementing core Artificial Intelligence (AI) and Machine Learning (ML) concepts. 3+ years designing, building, and managing Google Cloud Platform (GCP) solutions. 3+ years in projects development using Angular/React JS, JavaScript framework. 3+ years … monitoring to ensure the chatbot runs smoothly. • Strong understanding of conversation design and user experience principles to create intuitive and engaging chatbot interfaces. • Ability to design, develop, and deploy AI and machine learning solutions. • Experience with machine learning algorithms and deep learning frameworks such as TensorFlow, PyTorch, Keras, or Scikit-learn. • Proficiency with Natural Language Processing (NLP) tools like SpaCy More ❯

Job Title: Lead AI Developer Base Location: London plus network of 20 offices nationally: www.kpmg88careers.co.uk/experienced-professional/#LeBlender.OfficeLocations The KPMG Audit Technology team is dedicated to building cutting-edge solutions in close collaboration with the Audit function. We blend audit expertise with the latest technology, enabling us to understand the challenges our customers face daily and develop indispensable … As a valued team member, you'll be expected to stay current with the tech field and the latest trends in Audit delivery. Why Join KPMG As a Lead AI Developer The Audit Technology team at KPMG is driving innovation at the intersection of auditing and advanced technological solutions, reshaping the future of audit delivery. By combining expertise in Artificial … solutions today that anticipate the challenges and opportunities of tomorrow, ensuring that audit services remain at the forefront of technological progression. What will you be doing? As a Lead AI Engineer, you will report to AI Engineering Squad Lead and lead the technical delivery of AI projects within your squad, collaborating with data scientists, engineers, developers, cloud architects, and audit More ❯

Job Title: Lead AI Developer Base Location: London plus network of 20 offices nationally: www.kpmg88careers.co.uk/experienced-professional/#LeBlender.OfficeLocations The KPMG Audit Technology team is dedicated to building cutting-edge solutions in close collaboration with the Audit function. We blend audit expertise with the latest technology, enabling us to understand the challenges our customers face daily and develop indispensable … As a valued team member, you'll be expected to stay current with the tech field and the latest trends in Audit delivery. Why Join KPMG As a Lead AI Developer The Audit Technology team at KPMG is driving innovation at the intersection of auditing and advanced technological solutions, reshaping the future of audit delivery. By combining expertise in Artificial … solutions today that anticipate the challenges and opportunities of tomorrow, ensuring that audit services remain at the forefront of technological progression. What will you be doing? As a Lead AI Engineer, you will report to AI Engineering Squad Lead and lead the technical delivery of AI projects within your squad, collaborating with data scientists, engineers, developers, cloud architects, and audit More ❯

Job Title: Lead AI Developer Base Location: London plus network of 20 offices nationally: www.kpmg88careers.co.uk/experienced-professional/#LeBlender.OfficeLocations The KPMG Audit Technology team is dedicated to building cutting-edge solutions in close collaboration with the Audit function. We blend audit expertise with the latest technology, enabling us to understand the challenges our customers face daily and develop indispensable … As a valued team member, you'll be expected to stay current with the tech field and the latest trends in Audit delivery. Why Join KPMG As a Lead AI Developer The Audit Technology team at KPMG is driving innovation at the intersection of auditing and advanced technological solutions, reshaping the future of audit delivery. By combining expertise in Artificial … solutions today that anticipate the challenges and opportunities of tomorrow, ensuring that audit services remain at the forefront of technological progression. What will you be doing? As a Lead AI Engineer, you will report to AI Engineering Squad Lead and lead the technical delivery of AI projects within your squad, collaborating with data scientists, engineers, developers, cloud architects, and audit More ❯

Job Title: Lead AI Developer Base Location: London plus network of 20 offices nationally: www.kpmg88careers.co.uk/experienced-professional/#LeBlender.OfficeLocations The KPMG Audit Technology team is dedicated to building cutting-edge solutions in close collaboration with the Audit function. We blend audit expertise with the latest technology, enabling us to understand the challenges our customers face daily and develop indispensable … As a valued team member, you'll be expected to stay current with the tech field and the latest trends in Audit delivery. Why Join KPMG As a Lead AI Developer The Audit Technology team at KPMG is driving innovation at the intersection of auditing and advanced technological solutions, reshaping the future of audit delivery. By combining expertise in Artificial … solutions today that anticipate the challenges and opportunities of tomorrow, ensuring that audit services remain at the forefront of technological progression. What will you be doing? As a Lead AI Engineer, you will report to AI Engineering Squad Lead and lead the technical delivery of AI projects within your squad, collaborating with data scientists, engineers, developers, cloud architects, and audit More ❯

Job Title: Lead AI Developer Base Location: London plus network of 20 offices nationally: www.kpmg88careers.co.uk/experienced-professional/#LeBlender.OfficeLocations The KPMG Audit Technology team is dedicated to building cutting-edge solutions in close collaboration with the Audit function. We blend audit expertise with the latest technology, enabling us to understand the challenges our customers face daily and develop indispensable … As a valued team member, you'll be expected to stay current with the tech field and the latest trends in Audit delivery. Why Join KPMG As a Lead AI Developer The Audit Technology team at KPMG is driving innovation at the intersection of auditing and advanced technological solutions, reshaping the future of audit delivery. By combining expertise in Artificial … solutions today that anticipate the challenges and opportunities of tomorrow, ensuring that audit services remain at the forefront of technological progression. What will you be doing? As a Lead AI Engineer, you will report to AI Engineering Squad Lead and lead the technical delivery of AI projects within your squad, collaborating with data scientists, engineers, developers, cloud architects, and audit More ❯