Jobs at Kingdom Solutions

The Process Engineer Manager role within the Finance, Risk, and Management team focuses on transforming financial operations through simplified, standardized, and strategically aligned processes. Key responsibilities include leading cross-functional process improvement initiatives, applying Six Sigma methodologies to redesign workflows, and partnering with Technology and Product teams to enhance controls and transparency. The position offers the appeal of working on high-visibility projects that drive organizational efficiency while providing opportunities to influence strategic decisions in a fast-paced environment. This hybrid position requires three days per week in the office and is ideal for candidates who thrive in ambiguity and excel at building structure within complex financial systems.

This Accounting Manager role within the Controllers Group focuses on executing high-priority projects to enhance financial systems and reporting accuracy. The position involves understanding financial value streams, gathering requirements for system configuration changes, and managing the implementation of updates across PeopleSoft General Ledger and TrinTech reconciliation platforms. Key duties include configuring technical solutions, performing source-to-target mapping, and participating in peer reviews to ensure adherence to best practices. The role appeals to professionals seeking a collaborative environment that values innovation in accounting processes and offers opportunities for professional growth within a dynamic organization. The position requires an Agile approach and offers a supportive culture focused on work-life balance.

This 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. The position involves designing and deploying large-scale AI components, including foundation model training, LLM inference, and model governance, while leveraging technologies like PyTorch and AWS. Key responsibilities include optimizing system performance for cost and latency, collaborating with cross-functional partners to deliver AI-powered products, and contributing to the long-term technical roadmap. The role appeals to candidates passionate about applying cutting-edge research to real-world problems in a culture that values innovation, technical excellence, and ethical AI development. The position is based in major US hubs including Cambridge, McLean, New York, and San Jose.

This Applied Researcher II role within Capital One's AI Foundations team focuses on developing core Large Language Models and Agentic AI systems to transform banking experiences. The position involves designing, training, and validating foundation models while leveraging technologies like PyTorch and AWS to extract insights from vast datasets. Key responsibilities include collaborating with cross-functional teams to deliver scalable AI products, optimizing model performance for high-volume inference, and translating complex research into tangible business solutions. The role appeals to candidates seeking to work on cutting-edge AI research with a mission to create trustworthy, human-centric financial tools. It offers a collaborative environment that values innovation, technical leadership, and the opportunity to publish impactful research while working with state-of-the-art infrastructure.

This Applied Researcher I role within Capital One's AI Foundations team focuses on developing core Large Language Models and Agentic AI systems to transform banking experiences. The position involves designing and training foundation models from scratch, optimizing training and inference for massive scale, and collaborating with cross-functional teams to deploy AI solutions into production. Key responsibilities include leveraging advanced technologies like PyTorch and AWS to extract insights from complex data and translating research breakthroughs into tangible business value. The role is appealing for its opportunity to work on cutting-edge AI research with a mission to make banking more human and intelligent. It offers a collaborative environment that values innovation and technical depth, with work arrangements based in major hubs including Cambridge, McLean, New York, San Francisco, and San Jose.

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. The position involves designing ML architectures, building optimized data pipelines, and implementing MLOps practices to ensure high availability and responsible AI governance. Key responsibilities include developing scalable cloud-based solutions, automating model deployment and monitoring, and collaborating with cross-functional Agile teams to solve complex business problems. The role appeals to candidates seeking to lead technical innovation in a collaborative environment where they can apply cutting-edge machine learning engineering to impact millions of customers.

The Sr. Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible, scalable AI systems that transform banking services. Key responsibilities include designing and deploying large language model infrastructure, optimizing model performance for latency and cost, and collaborating with cross-functional partners to deliver AI-powered products. The position leverages advanced technologies like PyTorch and AWS to drive innovation in foundation models and governance. This opportunity appeals to candidates seeking to apply cutting-edge research in a high-impact environment where they can shape technical vision and mentor teams. The role offers a collaborative culture dedicated to ethical AI and the chance to solve complex, undefined problems that directly enhance customer experiences.

This Applied Researcher II role within Capital One's AI Foundations team focuses on developing core Large Language Models and Agentic AI systems to transform banking experiences. The position involves designing and training foundation models from scratch, leveraging technologies like PyTorch and AWS to extract insights from massive datasets, and collaborating with cross-functional teams to deploy scalable AI solutions. The role appeals to candidates passionate about pushing the boundaries of machine learning research, offering the opportunity to work on high-impact projects that directly influence customer interactions. It provides a dynamic environment for those with a PhD or extensive experience in deep learning, emphasizing innovation, technical leadership, and the chance to shape the future of trustworthy AI infrastructure.

The Applied Researcher I role is based within Capital One's AI Foundations team, focusing on developing trustworthy and reliable AI systems to transform banking experiences. Key responsibilities include partnering with cross-functional teams to deliver AI-powered products, building and training large-scale foundation models using technologies like PyTorch and AWS, and translating complex research into tangible business solutions. The position appeals to candidates passionate about pushing the boundaries of machine learning, offering the opportunity to work on high-impact projects that redefine customer interactions. The role supports a collaborative culture that values innovation, ethical decision-making, and talent development, with opportunities to engage with state-of-the-art research and production environments.

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 resilient. Key responsibilities include translating business strategy into innovative digital solutions, driving execution excellence, and collaborating with risk and security teams to monitor performance and mitigate product risks. The role appeals to leaders seeking to shape the future of internal technology management within a vibrant, transformational culture that values human-centered innovation and integrated problem-solving. The position is based in various US locations including Chicago, McLean, New York, Plano, Richmond, and San Francisco.

This full-time Lead Machine Learning Engineer role places the candidate within an Agile team at Capital One focused on productionizing machine learning systems 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 applications. The position requires collaborating with product and data science teams to implement continuous integration practices and maintain responsible AI standards. The role is appealing for its opportunity to work with emerging technologies, lead cross-functional initiatives, and continuously apply the latest innovations in machine learning engineering. The position supports a collaborative environment where professionals can drive state-of-the-art big data solutions.

This Process Engineer Manager role within the Finance, Risk, and Management team focuses on transforming financial operations through simplified, standardized, and strategically aligned processes. The position involves leading cross-functional initiatives to redesign workflows, applying Six Sigma methodologies to enhance efficiency, and building robust governance and control frameworks. Key responsibilities include partnering with Technology and Product teams to reduce manual effort, documenting complex processes, and driving change management across the organization. The role is appealing for its opportunity to influence strategic decisions, operate in a fast-paced environment that values structure amidst ambiguity, and deliver high-impact solutions. This is a hybrid position requiring three days per week in the office.

This senior lead AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on customizing and fine-tuning large language models to transform banking services. The position involves designing and deploying scalable AI infrastructure, including foundation model training, inference optimization, and implementing safety guardrails using technologies like PyTorch and AWS. Key responsibilities include inventing state-of-the-art optimization techniques to enhance system performance and contributing to the long-term technical roadmap for foundational AI systems. The role appeals to candidates seeking to apply cutting-edge research in a collaborative environment where they can lead cross-functional initiatives and solve undefined, high-impact problems. The position offers the opportunity to work on responsible AI solutions that directly improve customer experiences while fostering a culture of innovation and technical excellence.

This Applied Researcher I role within Capital One's AI Foundations team focuses on developing large language models and agentic AI systems to transform banking experiences. The position involves designing and training foundation models, optimizing deep learning architectures for scale, and collaborating with cross-functional teams to deploy AI solutions into production. Key responsibilities include leveraging technologies like PyTorch and AWS to extract insights from vast datasets and translating complex research into tangible business value. The role appeals to candidates seeking to work on cutting-edge AI infrastructure in a culture that prioritizes innovation, ethical AI development, and high-impact research. While the listing mentions specific locations, the position emphasizes a collaborative environment where researchers can pursue a personal research agenda and drive the next generation of customer interactions.

This distinguished AI engineering role at Capital One focuses on building responsible and scalable AI systems for the Intelligent Foundations and Experiences team. The position involves designing and deploying large-scale AI components, including foundation model training, LLM inference, and optimization techniques to enhance performance and cost efficiency. Key responsibilities include collaborating with cross-functional partners to deliver AI-powered products, leveraging technologies like PyTorch and AWS, and contributing to the long-term technical vision for the organization. The role appeals to candidates seeking to apply cutting-edge research in a high-impact environment that values innovation, technical excellence, and ethical AI practices. It offers the opportunity to work on transformative banking solutions while engaging with a collaborative culture that supports professional growth and complex problem-solving.

This Senior Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and scalable AI infrastructure for the banking sector. The position involves designing and deploying large language model systems, including foundation model training, inference optimization, and implementing guardrails for safety. Key responsibilities include collaborating with cross-functional partners to deliver AI-powered products, inventing state-of-the-art optimization techniques for latency and cost, and contributing to the long-term technical roadmap. The role is appealing for its opportunity to lead the development of transformative AI solutions that reimagine customer experiences while working with a cutting-edge stack of open-source and cloud technologies. The position offers a collaborative environment where engineers can tackle undefined problems and drive innovation in a mission-driven culture.

This senior lead machine learning engineering role places the candidate within an Agile team 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. The position requires leading teams, managing model governance, and utilizing cloud-based architectures for scalable solutions. The role is appealing due to the opportunity to apply the latest innovations in machine learning engineering, work with state-of-the-art big data technologies, and contribute to a culture of continuous learning and responsible AI. The position involves collaboration with product and data science teams to deliver impactful software solutions.

This senior lead machine learning engineering 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, developing optimized data pipelines, and managing the full lifecycle of model deployment, monitoring, and retraining. The position requires leading teams while ensuring high availability, performance, and responsible AI practices using cloud-based architectures. The role is appealing for its opportunity to apply the latest innovations in machine learning engineering, work with cross-functional teams on state-of-the-art big data solutions, and drive technical leadership in a collaborative environment.

This full-time Lead Machine Learning Engineer role is based within an Agile team at Capital One, focusing on the productionization of machine learning applications at scale. The position involves designing and building ML models to solve real-world business problems, constructing optimized data pipelines, and ensuring high availability and performance of deployed systems. Key responsibilities include collaborating with product and data science teams, implementing continuous integration and deployment practices, and maintaining responsible AI governance. 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 senior leadership role involves leading an Agile team to design, build, and productionize machine learning applications at scale within the financial sector. Key responsibilities include architecting ML systems, developing optimized data pipelines, and managing the full lifecycle of models from training to deployment and monitoring. The position requires collaboration with product and data science teams to solve complex business problems while ensuring high availability, performance, and responsible AI practices. The opportunity is appealing due to the chance to work with emerging technologies in a cloud-based environment, lead cross-functional initiatives, and continuously apply the latest innovations in machine learning engineering. The role supports a collaborative culture focused on technical excellence and professional growth.

This Applied Researcher I role within Capital One's AI Foundations team focuses on developing trustworthy AI systems and large language models to transform banking experiences. Key responsibilities include building and fine-tuning foundation models, conducting high-impact research on reinforcement learning and optimization, and collaborating with cross-functional teams to deploy scalable AI solutions. The position offers the opportunity to work with cutting-edge technologies like PyTorch and AWS while contributing to a culture that values innovation, ethical AI practices, and solving undefined problems. The role supports a mission to bring humanity and simplicity to financial services through advanced machine learning.

The Applied Researcher I role within Capital One's AI Foundations team focuses on developing trustworthy AI systems to transform banking experiences. Key responsibilities include building and training large-scale foundation models, leveraging technologies like PyTorch and AWS to extract insights from vast data sets, and collaborating with cross-functional teams to deploy AI solutions into production. The position appeals to candidates passionate about pushing the boundaries of machine learning, offering the opportunity to work on high-impact research that directly influences customer interactions. The role supports a culture of innovation and continuous learning, allowing researchers to define their own agendas while working with state-of-the-art tools in a collaborative environment.

This senior lead machine learning engineering role places the candidate within an Agile team at Capital One, focusing on the productionization of scalable machine learning systems. Key responsibilities include designing and building ML models to solve business problems, constructing optimized data pipelines, and managing the full lifecycle of model deployment, monitoring, and retraining in cloud environments. The position requires leading teams while ensuring high availability, performance, and adherence to responsible AI practices. The role is appealing for its opportunity to work with emerging technologies, drive innovation in big data applications, and foster a collaborative culture that values continuous learning. The position supports remote flexibility and offers a dynamic environment for professionals with extensive experience in distributed computing and ML architecture.