Top Software Engineer Jobs
The role involves coordinating with government and contractor teams to implement AI/ML technologies in space systems. Responsibilities include identifying opportunities in acquisitions, developing governance strategies, and enhancing infrastructure for optimized utilization of AI/ML. The engineer will facilitate communication with stakeholders and support various phases of system integration and testing.
As a Software Engineer, you will develop and maintain scalable interfaces for AI/ML tools, ensuring integration with user-facing applications. Responsibilities include collaborating with cross-functional teams, designing APIs and microservices, implementing software development best practices, and troubleshooting existing systems to enhance performance.
The Lead AI Data Engineer at MetLife will build and oversee data pipelines and architecture to integrate AI capabilities into products for Disability and Absence customers. Responsibilities include mentoring developers, managing technical solutions, conducting code reviews, and resolving production issues while focusing on hands-on development and SRE practices.
The GenAI Solution Architect will lead the development and delivery of AI Lighthouse engagements, driving customer adoption of GenAI products, and managing roadmaps for Generative AI technology. Responsibilities include analyzing market trends, communicating insights to stakeholders, and enhancing customer satisfaction through innovative tech solutions.
As a Staff AI Implementation Engineer, you will implement AI products on the Now platform for early adopter customers. This includes hands-on work with products like LLM-powered VA Topic flows, conversational catalogs, and AI Search. You will become an expert in these solutions, debug issues, and act as a subject matter expert while providing product feedback to improve capabilities.
The Lead Quality Engineer for AI/ML is responsible for developing and executing automated testing frameworks for language models, assessing output quality and performance, maintaining testing tools, and collaborating with cross-functional teams to ensure model reliability and effectiveness in customer interaction scenarios.
In this role, you will work with a cross-functional team to design, develop, and deploy AI software for banking applications. Responsibilities include leveraging AI technologies, optimizing large language models, and contributing to the technical vision of foundational AI systems at Capital One.
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The Senior Software Engineer will design, develop, and maintain scalable software solutions, collaborate with teams to gather requirements, and ensure code quality. Responsibilities include managing code repositories, troubleshooting issues, and integrating applications with external services.
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The Senior Director of Engineering, AI/ML will lead a team of ML Engineers and Data/ML Scientists to develop, scale, and integrate AI models into Workiva's platform. This role involves overseeing the architecture of AI systems, aligning AI initiatives with business goals, fostering innovation, and ensuring ethical AI use.
As a Senior AI Engineer at Capital One, you will collaborate with cross-functional teams to develop and deploy AI software components, including foundation model training and large language model inference. You will contribute to technical vision and optimize large-scale AI systems while ensuring the responsible application of AI.
As Director of AIDA R&D AI & Data Solutions Engineering at Pfizer, you will lead the data solutions engineering team, drive the development of innovative R&D data solutions, and oversee complex projects. You'll manage resources, ensure data security and compliance, and establish best practices in collaboration with stakeholders to optimize data storage and processing.
The Director of AIDA R&D AI & Data Solutions Engineering will lead the R&D data solutions engineering team, focusing on designing and implementing innovative data solutions. Responsibilities include managing high-complexity projects, promoting data security, collaborating with stakeholders, and establishing a culture of continuous improvement.
The Director will lead the R&D data solutions engineering team, managing high-complexity projects and driving the delivery of innovative data solutions. Responsibilities include overseeing data architecture and engineering practices, promoting data security, and collaborating with various stakeholders to meet business goals, while fostering a culture of continuous improvement.
As an AI Engineer at Capital One, you'll design, develop, and support AI software components, partner with cross-functional teams to deliver AI-powered products, and contribute to the technical vision and roadmap of foundational AI systems.
The Staff AI Engineer will design and enhance machine learning inference services for Cash App's Financial Crimes Technology team, focusing on optimizing operations and integrating AI/ML best practices. The role involves collaboration with cross-functional teams and requires leadership in driving strategic initiatives and prototyping new tools for modelers.
The Senior Manager, AI Engineer at Capital One leads a team in delivering AI-powered products by designing, developing, testing, and deploying AI software components. They collaborate with cross-functional teams and leverage advanced AI technologies to optimize large-scale AI systems, and contribute to the long-term technical vision for foundational AI systems.
Lead the development of AI-powered products at Capital One by partnering with cross-functional teams. Responsibilities include designing, developing, and deploying AI software components, leveraging various AI technologies, and contributing to the technical vision of foundational AI systems.
The AI/ML Scientist Manager will lead the deployment of AI solutions, ensuring best practices in model operationalization. Responsibilities include framework development, collaborative implementation with Data Scientists, team leadership of ML engineers, managing ML operations with ML Flow, and overseeing CI/CD pipelines.
The role involves leading and mentoring a team of ML engineers, developing frameworks for AI model deployment, assuring code quality through CI/CD processes, and collaborating with various stakeholders to transition AI PoCs into production applications. A strong emphasis is placed on operationalizing AI models and maintaining best practices in machine learning operations.
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The Staff Machine Learning Engineer will lead projects within the Square Conversational AI team, focusing on building scalable machine learning solutions. Responsibilities include collaborating with business leaders, developing ML products, mentoring team members, and overseeing the entire ML lifecycle from data collection to production.
The Artificial Intelligence Integrator will support NATO's wargaming capability development by integrating AI techniques. Responsibilities include collaborating with experts, enhancing wargaming activities, developing AI-related materials, conducting experiments, and providing data analytics to improve decision-making processes.
The Director of Data Science will oversee AI Insights at Movable Ink, managing a data team and guiding product analytics. Responsibilities include maintaining the internal reporting stack, mentoring client-facing teams, and presenting insights to senior client executives. The role focuses on advancing the Analytics product and driving improvements in the model suite through collaboration.
The Director of Data Science & AI will lead a team in developing and deploying advanced analytics and AI techniques. Responsibilities include innovation in AI solutions, collaboration with various teams, and effective communication of complex ideas to leadership, ensuring the impactful application of data science in the mortgage industry.
The Sr. AI/ML Architect will advise private sector clients on integrating AI and ML across enterprises, analyze and enhance technology selection processes, develop and maintain AI controls, ensure data synchronization, and collaborate on enterprise architecture policies.
The Principal Machine Learning Engineer will drive the development and implementation of machine learning algorithms, collaborate with product and engineering teams, design architectures, conduct experiments, and guide emerging ML engineers, ensuring the effective integration of AI across Atlassian's products and services.
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