Jobs at Kingdom Solutions

The Corrosion Control Engineer role within Aramco's Northern Area Gas Producing Engineering Division focuses on safeguarding critical gas production assets through advanced technical strategies. Key responsibilities include developing and implementing corrosion control plans, conducting surveys to identify risks, designing cathodic protection systems, and creating pipeline integrity plans aligned with industry standards. The position involves collaborating with cross-functional teams to perform failure analysis and ensure operational safety. This opportunity is appealing due to the chance to work on world-scale projects with significant investment in technology, a strong commitment to professional development through extensive training programs, and the ability to contribute to global energy reliability. The role requires flexibility for field work and travel within Saudi Arabia.

This Security Engineer role supports cross-functional teams developing innovative medical devices and wearable technology, focusing on securing both software and hardware systems throughout the product lifecycle. Key responsibilities include developing cybersecurity documentation for regulatory submissions, conducting threat modeling and vulnerability testing, and implementing security controls for data integrity and communication protocols. The position appeals to candidates seeking to protect sensitive user data while ensuring compliance with standards like FDA and HIPAA within a collaborative environment. The role offers opportunities for professional growth through training and certifications, with a culture that values innovation and continuous learning.

This full-time Lead Machine Learning Engineer role places the candidate within an Agile team at Capital One, focusing on the productionization of machine learning applications at scale. Key responsibilities include designing and building ML models to solve business problems, developing optimized data pipelines, and ensuring high availability and performance through cloud-based architectures. The position requires collaboration with product and data science teams to manage model retraining, monitoring, and deployment using best practices in Responsible AI. The role is appealing for its opportunity to continuously learn and apply emerging technologies while working on state-of-the-art big data solutions. The position supports a collaborative engineering culture and offers flexibility in work arrangements.

This senior leadership role within Capital One's Agile engineering teams focuses on designing, building, and scaling machine learning applications for production environments. The position involves collaborating with product and data science groups to architect ML systems, develop optimized data pipelines, and ensure high availability and performance of deployed models. Key responsibilities include leading teams, implementing continuous integration and deployment practices, and maintaining responsible AI governance. The role appeals to candidates seeking to apply cutting-edge technologies in a collaborative culture that values innovation and professional growth. While the position requires significant technical expertise in Python, Scala, or Java, it offers the opportunity to work on complex, real-world business problems at scale.

This Applied Researcher II role within Capital One's AI Foundations team focuses on developing and deploying large-scale AI foundation models to transform customer banking experiences. The position involves collaborating with cross-functional teams to design, train, and validate deep learning models using technologies like PyTorch and AWS, while translating complex research into tangible business solutions. The role appeals to candidates passionate about pushing the boundaries of AI through high-impact research on topics such as large language models, graph neural networks, and training optimization. It offers the opportunity to work on cutting-edge infrastructure and contribute to industry-leading product innovations in a collaborative environment that values creativity, technical excellence, and ethical AI development.

The Manager, Product Management role within the Enterprise Product and Experience team at Capital One focuses on reimagining industry-defining products and platforms for associates and customers. Key responsibilities include leading cross-functional teams to solve complex problems, translating business strategy into consumer-facing digital solutions, and leveraging technology to drive innovative outcomes. The position appeals to candidates seeking a vibrant environment that values human-centered design, transformational leadership, and data-driven decision-making. This full-time opportunity supports professional growth through a collaborative culture that emphasizes sustainable innovation and organizational alignment.

This Principal Associate Product Designer role supports the Experience Design team at Capital One, focusing on creating meaningful digital and physical banking experiences. The position involves leveraging expertise in interaction, visual, and service design to co-create innovative solutions for complex business problems. Key responsibilities include developing high-fidelity designs and prototypes, championing human-centered research to inform strategy, and collaborating with cross-functional partners to align customer needs with business goals. The role appeals to creative innovators seeking a culture of authenticity, diversity of thought, and healthy critique. It offers the opportunity to work with emerging technologies in a regulated environment while contributing to a mission of changing banking for good.

The Lead Machine Learning Engineer role is part of an Agile team at Capital One focused on productionizing machine learning applications at scale. Key responsibilities include designing and building ML models to solve business problems, developing optimized data pipelines, and ensuring high availability and performance of deployed systems using cloud architectures. The position requires collaboration with product and data science teams to manage model retraining, monitoring, and governance while adhering to responsible AI practices. This opportunity appeals to candidates seeking to apply the latest innovations in ML engineering within a collaborative environment that values continuous learning and technical excellence. The role involves working with distributed computing technologies and programming languages such as Python, Scala, or Java to deliver state-of-the-art big data solutions.

This Director of Product Management role leads the Developer Experience team at Capital One, focusing on building a world-class CI/CD platform for deployment and release decisioning. The position involves setting multi-year strategies for the common capabilities across the deployment pipeline lifecycle and managing operational risk while enhancing the customer experience. Key responsibilities include collaborating cross-functionally with engineering, cybersecurity, and compliance stakeholders to drive roadmap execution and overseeing the end-to-end product lifecycle from ideation to launch. The role is appealing for its opportunity to shape the future of software delivery for over 1,800 development teams, fostering a culture of innovation and collaboration within a high-tech financial environment. The position supports Capital One's mission to transform banking through scalable, secure, and automated cloud solutions.

This senior leadership role within Capital One's Cloud Operations Resilience Engineering organization directs the product strategy for operational intelligence and observability tools. The position involves leading cross-functional teams to manage the collection and analysis of data across software, databases, and infrastructure assets, ensuring technology platforms remain performant, secure, and well-governed. Key responsibilities include driving innovation in monitoring solutions, aligning product outcomes with business and risk strategies, and fostering a culture of human-centered problem solving. The role appeals to leaders seeking to shape the future of internal technology resilience at scale, offering the opportunity to work with cutting-edge cloud technologies in a vibrant, transformational environment.

This full-time Lead Machine Learning Engineer role operates within an Agile team at Capital One, focusing on the productionization and scaling of machine learning systems. The position involves designing and building ML models to solve complex business problems, constructing optimized data pipelines, and ensuring high availability through continuous integration and deployment practices. Key responsibilities include collaborating with product and data science teams, managing model retraining and monitoring, and maintaining responsible AI governance. The role appeals to candidates seeking to apply the latest innovations in cloud-based architectures and distributed computing while leading teams in a collaborative environment. The position requires a blend of technical expertise in Python, Scala, or Java and leadership experience, offering opportunities for professional growth in a mission-driven organization.

This Lead Machine Learning Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on productionizing AI systems at scale using AWS, Kubernetes, and frameworks like PyTorch and TensorFlow. Key responsibilities include designing ML architectures, building optimized data pipelines, automating model deployment through MLOps practices, and ensuring high availability and responsible AI governance. The position appeals to candidates seeking to lead cross-functional Agile teams in a collaborative environment where they can apply cutting-edge technology to solve complex business problems. The role offers significant opportunities for professional growth and innovation while working on proprietary solutions that impact millions of customers.

This full-time Lead Machine Learning Engineer role operates within an Agile team at Capital One, focusing on the productionization of scalable machine learning applications. The position involves designing and building ML models to solve real-world business problems, constructing optimized data pipelines, and ensuring high availability through continuous integration and deployment practices. Key responsibilities include collaborating with product and data science teams, managing model retraining and monitoring, and adhering to responsible AI governance standards. The role appeals to candidates seeking to apply the latest innovations in cloud-based architectures and distributed computing while working with cross-functional teams. It offers a collaborative environment focused on technical growth and the opportunity to lead the development of state-of-the-art big data solutions.

This full-time Lead Machine Learning Engineer role within Capital One's Enterprise Platforms Technology team focuses on productionizing scalable machine learning applications. The position involves designing and building ML models to solve complex business problems, constructing optimized data pipelines, and ensuring high availability through robust cloud-based architectures. Key responsibilities include collaborating with cross-functional Agile teams, implementing continuous integration and deployment practices, and maintaining responsible AI governance. The role appeals to candidates seeking to apply the latest innovations in distributed computing and deep learning frameworks while leading technical initiatives. It offers a dynamic environment for professional growth and the opportunity to work on state-of-the-art big data solutions.

This full-time Lead Machine Learning Engineer role places the candidate within an Agile team at Capital One focused on productionizing machine learning applications at scale. Key responsibilities include designing and building ML models to solve business problems, constructing optimized data pipelines, and ensuring high availability through continuous integration and deployment practices. The position requires collaboration with product and data science teams to manage model retraining, monitoring, and governance while leveraging cloud-based architectures. The role is appealing for its opportunity to apply the latest innovations in machine learning engineering within a collaborative environment that values responsible AI. The position is based in McLean, VA, New York, NY, or Plano, TX, with a hybrid work arrangement involving on-site collaboration.

This senior distinguished AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on building a proprietary agentic AI platform to transform banking services. The position involves architecting core platform components such as agent orchestration, RAG pipelines, and multi-tenant policy enforcement while standardizing workflows across frameworks like LangGraph and AutoGen. Key responsibilities include developing a comprehensive GenAI SDK to accelerate prototyping, implementing central guardrail services for trust and safety, and optimizing system performance to reduce costs. The role is appealing for its opportunity to lead high-impact innovation in responsible AI, mentor senior engineering talent, and represent the company at major industry conferences. The position requires deep technical expertise in AI systems and offers a collaborative environment dedicated to reimagining customer experiences through scalable, secure technology.

This Senior Lead AI Engineer role within the Intelligent Foundations and Experiences team at Capital One focuses on building responsible and scalable AI infrastructure to transform banking services. Key responsibilities include designing and deploying large language model systems, optimizing training and inference for performance and cost, and establishing governance and observability for production AI. The position offers the opportunity to work with cutting-edge technologies like PyTorch and AWS while shaping the technical vision for foundational AI. The role is appealing for its mission to bring humanity to banking through innovation, offering a collaborative environment where engineers can solve undefined problems and mentor teams. The position is based in major US hubs including Cambridge, McLean, New York, and San Jose.

This Director of Product Management role leads the Developer Experience team at Capital One, focusing on building a world-class CI/CD platform for 1,800 software development teams. The position involves setting multi-year strategies for deployment pipelines, managing operational risk while enhancing customer experience, and collaborating with cross-functional stakeholders in cybersecurity, compliance, and engineering. The role is appealing for its opportunity to shape the future of enterprise software delivery, drive innovation in cloud infrastructure, and work within a high-tech culture that values bold ideas and collaboration. The position requires deep empathy for developer needs and the ability to translate complex business strategies into intuitive platform solutions.

This full-time Lead Machine Learning Engineer role within Capital One's Enterprise Platforms Technology team focuses on productionizing scalable machine learning applications. The position involves designing and building ML models to solve complex business problems, constructing optimized data pipelines, and ensuring high availability through robust cloud-based architectures. Key responsibilities include collaborating with cross-functional Agile teams, implementing continuous integration and deployment practices, and maintaining responsible AI governance. The role appeals to candidates seeking to apply the latest innovations in distributed computing and deep learning frameworks while leading technical initiatives. It offers a collaborative environment with opportunities for professional growth and the chance to impact enterprise-scale systems.

This full-time Lead Machine Learning Engineer role places the candidate within an Agile team at Capital One, focusing on the productionization of machine learning applications at scale. Key responsibilities include designing and building ML models to solve business problems, constructing optimized data pipelines, and ensuring high availability through continuous integration and deployment practices. The position requires collaboration with product and data science teams to maintain model governance and implement responsible AI standards. The role is appealing for its opportunity to work with emerging technologies in a collaborative environment that values continuous learning and innovation. The position is based in McLean, VA, New York, NY, or Plano, TX, with a hybrid work arrangement involving on-site collaboration.

This Lead Machine Learning Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on productionizing AI applications at scale using AWS, Kubernetes, and frameworks like PyTorch and TensorFlow. Key responsibilities include designing ML architectures, building optimized data pipelines, automating model deployment through MLOps practices, and ensuring high availability and responsible AI governance. The position offers the appeal of working on cutting-edge technology that delivers value to millions of customers while fostering continuous learning and innovation. The team operates in an Agile environment with opportunities for cross-functional collaboration and technical leadership.

This full-time Lead Machine Learning Engineer role involves leading an Agile team to productionize scalable machine learning applications within Capital One's technology division. Key responsibilities include designing ML architectures, building and optimizing data pipelines, and ensuring high availability and performance of models in production using languages like Python and Java. The position emphasizes collaboration with product and data science teams to solve complex business problems while adhering to responsible AI practices. The role is appealing for its focus on continuous learning, exposure to emerging technologies, and the opportunity to lead teams in a collaborative environment. The position is based in McLean or Richmond, Virginia, with a hybrid work arrangement.