1 to 25 of 3,944 DemandTrendPermanent Artificial Intelligence Jobs

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 ❯

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 ❯

with teams from Google, Meta, TradeDesk and Amazon to deliver innovative solutions that helps deliver businessresults to our clients. Job Description We are seeking a highly motivated and experienced AI/Data Science Product Strategy Lead to spearhead the development and implementation of innovative AI-powered solutions that will revolutionize our performance marketing capabilities. This pivotal role will be responsible … for envisioning, building, and scaling AI automations and measurement products that directly enhance campaign performance, drive efficiency, and unlock new opportunities for our clients. You will be at the forefront of leveraging recent advancements in AI, particularly in the areas of Large Language Models (LLMs) and AI agent frameworks, to create truly game-changing solutions within a performance media context. … This role demands a strategic thinker with strong technical acumen, a passion for innovation, and the ability to translate complex AI concepts into tangible and scalable product offerings. Responsibilities • Develop and own the AI product vision and strategy for performance marketing: Define a clear roadmap for AI-powered products and automations that address key challenges and opportunities within performance media 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 ❯

Range: $52.24 - $80.97 - The hourly pay rate offered is determined by a candidate's expertise and years of experience, among other factors. Position Highlights: Position: Data Scientist III - Gen AI Products Location: Skokie, IL Full Time Hours: Monday-Friday, 8:00am - 4:30pm Hybrid Role: work from home, onsite as needed. Periodic visits to other corporate locations will be required. … Job Summary: As a Data Scientist III for GenAI Products at Endeavor Health, you will be a key player in transitioning our enterprise AI platform from a vendor-managed product to a sustainable, internally owned solution. You will leverage cutting-edge LLM and agentic AI technologies to design, build, and maintain AI components to rapidly iterate on user-facing features. … in a fast-evolving, ambiguous environment - we're looking for people who thrive even when the roadmap is still being drawn. Effective communication skills are essential to translate complex AI concepts for non-technical stakeholders and collaborate across product, engineering, and business teams. You will serve as an internal AI expert, leading efforts to understand and enhance vendor-built systems 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 ❯

An exciting opportunity has come up at SThree for a talented AI Engineer . Reporting to the Head of Infrastructure, Security and Operations, the role is based in our Glasgow office at Cadworks, on a permanent contract, hybrid working basis. As an AI Engineer specialising in Azure Services, you will be responsible for designing, implementing, and maintaining AI solutions within … our organisation. Leveraging the Azure platform, including Azure Open AI, Azure Vision and other Azure AI services, you will develop scalable, efficient, and effective AI models and systems Who will you be working for? SThree is the global STEM-workforce consultancy. We connect sought-after specialists with dynamic organisations around the world. We advise businesses, build expert teams, and deliver … project solutions to drive innovation across STEM sectors, helping them to Outpace tomorrow, together. What are the key expectations of this role? Design and develop AI models and solutions using Azure OpenAI, Azure Machine Learning, and Azure Cognitive Services to address specific business challenges. Implement and maintain scalable and efficient AI systems, ensuring they meet business requirements and performance benchmarks. 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 … grow into a role We 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 ❯

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 ❯

Engineer to join our growing platform team. This role is critical in designing, building, and maintaining our robust, scalable, and secure cloud platform, which supports our core applications and AI/ML models. The ideal candidate will have deep expertise in cloud technologies (Azure), Infrastructure as Code (IaC), container orchestration, and CI/CD pipelines. An understanding of MLOps and … data pipeline tools is also essential for integrating with our AI components. Core Responsibilities Cloud Platform & Infrastructure Management Design, implement, and manage secure and high-performance cloud infrastructure on the Microsoft Azure ecosystem. Utilize Terraform to automate the provisioning, configuration, and management of cloud resources, ensuring consistency and reliability. Optimize cloud costs and performance through best practices in resource management 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 ❯

Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering expertise to resolve issues efficiently. Professional Development and Training: Participate in … or conduct training sessions to enhance the team's skills and knowledge in specific areas related to application architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. More ❯

Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering expertise to resolve issues efficiently. Professional Development and Training: Participate in … or conduct training sessions to enhance the team's skills and knowledge in specific areas related to application architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. More ❯

Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering expertise to resolve issues efficiently. Professional Development and Training: Participate in … or conduct training sessions to enhance the team's skills and knowledge in specific areas related to application architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. More ❯

Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering expertise to resolve issues efficiently. Professional Development and Training: Participate in … or conduct training sessions to enhance the team's skills and knowledge in specific areas related to application architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. More ❯

Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering expertise to resolve issues efficiently. Professional Development and Training: Participate in … or conduct training sessions to enhance the team's skills and knowledge in specific areas related to application architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. More ❯

Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering expertise to resolve issues efficiently. Professional Development and Training: Participate in … or conduct training sessions to enhance the team's skills and knowledge in specific areas related to application architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. More ❯

Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering expertise to resolve issues efficiently. Professional Development and Training: Participate in … or conduct training sessions to enhance the team's skills and knowledge in specific areas related to application architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. More ❯

Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering expertise to resolve issues efficiently. Professional Development and Training: Participate in … or conduct training sessions to enhance the team's skills and knowledge in specific areas related to application architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. More ❯

Automation and Optimization: Streamlining data processes and automating repetitive tasks, ensuring efficiency in data pipelines and analytics workflows. Continuous Learning: Stay updated with the latest trends in software architecture, AI technologies, and development tools. Problem-Solving: Be available to troubleshoot and solve complex technical problems as they arise, offering expertise to resolve issues efficiently. Professional Development and Training: Participate in … or conduct training sessions to enhance the team's skills and knowledge in specific areas related to application architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. More ❯

As a Senior Microsoft Azure AI Engineer (m/w/d) Lead AI Solution Architecture , you're responsible for the end-to-end architecture of AI/ML solutions on Azure . You provide technical leadership to teams in implementing best practices and MLOps, and work closely with clients to translate their business needs into innovative AI solutions. Activities … Lead AI Solution Architecture: Own the end-to-end architecture for AI/ML solutions on Azure, from concept and design to deployment. Develop high-level solution designs that integrate with clients' existing data platforms and infrastructure. Client Engagement: Work closely with enterprise clients to understand business challenges and identify opportunities where AI/ML can drive value (e.g. predictive … in pharma, or risk modeling in insurance). Translate these needs into solution roadmaps and technical plans. Technical Leadership: Provide hands-on technical leadership to delivery teams. Guide Azure AI Engineers and Data Engineers in implementing best practices for data preparation, model development, and cloud deployment. Mentor team members in advanced AI techniques and review designs/code to ensure More ❯

As a Senior Microsoft Azure AI Engineer (m/w/d) Lead AI Solution Architecture , you're responsible for the end-to-end architecture of AI/ML solutions on Azure . You provide technical leadership to teams in implementing best practices and MLOps, and work closely with clients to translate their business needs into innovative AI solutions. Activities … Lead AI Solution Architecture: Own the end-to-end architecture for AI/ML solutions on Azure, from concept and design to deployment. Develop high-level solution designs that integrate with clients' existing data platforms and infrastructure. Client Engagement: Work closely with enterprise clients to understand business challenges and identify opportunities where AI/ML can drive value (e.g. predictive … in pharma, or risk modeling in insurance). Translate these needs into solution roadmaps and technical plans. Technical Leadership: Provide hands-on technical leadership to delivery teams. Guide Azure AI Engineers and Data Engineers in implementing best practices for data preparation, model development, and cloud deployment. Mentor team members in advanced AI techniques and review designs/code to ensure More ❯

As a Senior Microsoft Azure AI Engineer (m/w/d) Lead AI Solution Architecture , you're responsible for the end-to-end architecture of AI/ML solutions on Azure . You provide technical leadership to teams in implementing best practices and MLOps, and work closely with clients to translate their business needs into innovative AI solutions. Activities … Lead AI Solution Architecture: Own the end-to-end architecture for AI/ML solutions on Azure, from concept and design to deployment. Develop high-level solution designs that integrate with clients' existing data platforms and infrastructure. Client Engagement: Work closely with enterprise clients to understand business challenges and identify opportunities where AI/ML can drive value (e.g. predictive … in pharma, or risk modeling in insurance). Translate these needs into solution roadmaps and technical plans. Technical Leadership: Provide hands-on technical leadership to delivery teams. Guide Azure AI Engineers and Data Engineers in implementing best practices for data preparation, model development, and cloud deployment. Mentor team members in advanced AI techniques and review designs/code to ensure More ❯