Jobs at Kingdom Community Development

The Principal Financial Analyst role serves as the lead financial partner for the Enterprise Payments organization, supporting Operations, Strategy, and Governance teams across various payment rails. Key responsibilities include developing annual budgets, long-term financial plans, and complex financial models to drive business growth. The position requires monitoring performance indicators, analyzing variances, and providing strategic insights to management for decision-making. This opportunity appeals to candidates seeking a strategic environment where they can influence business outcomes, solve complex problems, and collaborate closely with engaged business leaders. The role is based in McLean or Richmond, Virginia, and offers a dynamic setting for professional growth within a major financial ecosystem.

This Senior Manager role leads the Associate Experience Endpoints team within Capital One's Product Management division, focusing on the technology foundation for over 70,000 employees. The position involves building secure, user-centric platforms for devices and software while balancing zero-trust security with seamless productivity. Key responsibilities include defining product roadmaps, negotiating with vendors, influencing cybersecurity policy, and driving strategic initiatives to reduce friction in the internal technology experience. The role is particularly appealing due to the opportunity to build a new team from scratch with significant autonomy, work directly with executive stakeholders, and apply rigorous product thinking to complex internal challenges. The position offers a collaborative environment where reducing daily friction for the workforce is valued as a core business outcome.

This senior lead machine learning engineering role places the candidate within an Agile team focused on productionizing scalable machine learning applications at Capital One. 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 code quality, system performance, and adherence to responsible AI practices. The role is appealing for its opportunity to work with emerging technologies, drive innovation in big data solutions, and foster a collaborative culture that values continuous learning and technical excellence.

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 analyze vast datasets, 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 research while solving undefined business problems. It offers a collaborative environment that values innovation, technical depth, and the opportunity to work on high-impact projects that directly influence customer interactions. The role is based in major hubs including Cambridge, McLean, and New York.

The Distinguished AI Engineer role at 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-scale AI components such as foundation model training and LLM inference, optimizing system performance for cost and latency, and collaborating with cross-functional partners to deliver innovative product experiences. This position appeals to technical leaders who thrive on solving undefined problems and shaping the long-term technical vision for AI infrastructure. The role offers the opportunity to work with cutting-edge open-source technologies and a collaborative culture dedicated to bringing humanity and simplicity to financial services.

This Applied Researcher II 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, training, and validating foundation models while collaborating with cross-functional teams of engineers and product managers to deploy scalable AI solutions. Key responsibilities include leveraging advanced 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 research in a collaborative environment that values innovation and ethical decision-making. It offers the opportunity to lead impactful projects that redefine customer interactions, with a strong emphasis on professional growth and technical excellence.

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 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 innovation and high-impact applied research, offering the opportunity to work with state-of-the-art tools on massive datasets. The role supports a collaborative culture that values creative problem-solving and professional growth, with work arrangements typically based at specific office locations including Cambridge, McLean, New York, or 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 cross-functionally with engineering, security, and compliance stakeholders. The role is appealing due to its central impact on the company's cloud mission, offering the opportunity to shape industry-leading tools that improve developer productivity and security. The position requires deep empathy for developer needs and strong leadership to drive a platform that is intuitive, reliable, and automated across the enterprise.

This senior director role leads the product management team within Capital One's Cloud Operations Resilience Engineering organization, focusing on operational intelligence and observability. The position is responsible for overseeing tools that enable the collection and analysis of data across software, databases, security, and infrastructure assets to ensure system performance and resilience. Key duties include driving product strategy to reimagine technology solutions, leading cross-functional teams to solve complex problems, and aligning technology with business and risk imperatives. The role appeals to leaders seeking to shape a vibrant product culture that values human-centered innovation and transformational leadership. It offers the opportunity to manage critical technology assets at scale within a digital-first financial institution, with a focus on delivering sustainable customer experiences through advanced data governance and monitoring.

The Sr. Distinguished AI Engineer role at Capital One is a senior leadership position within the Intelligent Foundations and Experiences team, focused on building responsible and scalable AI systems for the banking sector. Key responsibilities include designing and deploying large-scale AI components such as foundation model training and LLM inference, optimizing system performance for cost and latency, and contributing to the long-term technical vision for foundational AI. The position appeals to candidates who thrive on solving undefined problems and applying cutting-edge research to real-world products. It offers the opportunity to work with a diverse stack of open-source and cloud technologies while influencing cross-functional stakeholders. The role is based in various US locations including McLean, Richmond, New York, Cambridge, and San Francisco.

This Manager, Product Management role within Capital One's Enterprise Payments team focuses on defining the roadmap for the bank's digital payments strategy and modernizing legacy systems into a cloud-based, real-time environment. The position involves shaping product strategy, developing intuitive payment experiences for diverse customer segments, and collaborating with cross-functional teams of engineers, designers, and data scientists to deliver straight-through processing solutions. The role is appealing for its opportunity to drive innovation within a tech-centric culture that is redefining the industry's future. It offers a dynamic environment where candidates can leverage human-centered design and transformational leadership to solve complex problems while working in a collaborative, agile setting.

This Lead Machine Learning Engineer role within Capital One's GenAI Workflows Serving team focuses on designing and productionizing Generative AI applications and Agentic Workflow systems at massive scale. The position involves building robust ML serving architectures using Python and Go, implementing cloud-native platforms with Kubernetes and AWS, and establishing advanced MLOps practices for continuous deployment. Key responsibilities include developing high-performance code, ensuring low latency and security for AI solutions, and collaborating with product and data science teams to solve complex business problems. The role appeals to engineers seeking to lead innovation in a collaborative Agile environment while working with cutting-edge technologies like service meshes and scalable data pipelines. The position is based in major US hubs including Cambridge, McLean, New York, 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 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. The role is appealing for its opportunity to continuously apply the latest innovations in machine learning engineering and work with diverse technologies like Python, Golang, and major cloud platforms. The position supports a collaborative culture centered on technical growth and delivering state-of-the-art big data solutions.

This senior leadership role within Capital One's Alternative Renewable Energy team focuses on tax equity transactions for wind, solar, and storage investments. The position combines underwriting new deals with managing an existing portfolio, requiring deep expertise in credit risk and financial modeling. Key responsibilities include conducting due diligence, analyzing market trends, structuring complex transactions, and leading quarterly portfolio reviews to ensure asset performance. The role appeals to experienced professionals seeking to drive growth in the sustainable energy sector while mentoring junior analysts and collaborating across business functions. The position is based in Charlotte, Houston, or New York and involves direct interaction with clients and internal stakeholders to support scalable business expansion.

This Applied Researcher I role within Capital One's AI Foundations team focuses on developing large language models and agentic AI systems to transform customer 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 innovative researchers passionate about pushing the boundaries of AI while working in a culture that prioritizes ethical decision-making and customer impact. Candidates will engage in high-impact applied research with opportunities to lead independent agendas and contribute to industry-leading publications.

This senior lead AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on building scalable, responsible AI infrastructure for large language model inference and foundation model hosting. Key responsibilities include designing and deploying AI software components, optimizing LLM performance for cost and latency, and collaborating with cross-functional partners to integrate advanced AI solutions into banking products. The position appeals to technical leaders who thrive on solving undefined problems and applying cutting-edge research to real-world systems. It offers the opportunity to shape the long-term technical vision of foundational AI while working in a culture that values innovation, quality, and the transformative impact of technology on customer experiences.

This senior management role within Capital One's Retail and Small Business Banking division focuses on driving growth and profitability through strategic business analysis. The position involves developing comprehensive business strategies, managing product and pricing initiatives, and leading credit risk modeling efforts to improve consumer performance. Key responsibilities include overseeing P&L accountability for business segments, mentoring analyst teams, and coordinating cross-functional projects with IT, sales, and operations. The role appeals to candidates seeking a dynamic environment that values innovation, continuous learning, and the opportunity to make significant impacts on the company's bottom line. It offers a collaborative culture where strategic thinking and quantitative skills are essential for navigating a fast-paced, entrepreneurial landscape.

This senior lead AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible generative AI platforms that transform banking services. The position involves designing and deploying large-scale AI systems, including foundation model training, LLM inference, and optimization techniques to enhance scalability and cost-efficiency. Key responsibilities include collaborating with cross-functional partners to deliver AI-powered products, implementing guardrails and governance frameworks, and contributing to the technical roadmap for foundational AI infrastructure. The role appeals to candidates passionate about applying cutting-edge research to real-world problems, offering the opportunity to work with a diverse technology stack on high-impact projects. The position supports a culture of innovation and technical excellence, allowing engineers to lead initiatives that redefine customer and associate experiences.

The Senior Distinguished AI Engineer role at 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 solve complex, undefined problems while shaping the long-term technical vision for foundational AI. This opportunity appeals to those seeking to apply cutting-edge research in a high-impact environment, offering the chance to work on systems that serve millions of customers with a focus on innovation and ethical AI deployment.

This Director of Product Management role leads the Developer Experience team at Capital One, focusing on building a world-class CI/CD platform for the company's 1,800 software development teams. The position involves setting multi-year strategies for deployment pipelines, managing operational risk while enhancing customer experience, and collaborating cross-functionally with engineering, security, and compliance stakeholders. The role is appealing due to its central impact on the organization's cloud mission, offering the opportunity to shape industry-leading tools that improve the quality of life for developers. The position requires strong leadership to drive product lifecycles and align technical capabilities with business outcomes within a high-tech, entrepreneurial culture.

This full-time Principal Risk Associate role within Capital One's Enterprise Data Risk Management team focuses on overseeing data risk and ensuring effective mitigation strategies. Key responsibilities include testing and validating data management controls, analyzing data to identify emerging risks and trends, and collaborating with enterprise stakeholders to drive transformation and improve data maturity. The position appeals to professionals seeking to apply analytical and process management skills in a forward-thinking environment that values curiosity and creativity. The role offers the opportunity to influence organizational strategy while working with diverse teams to protect customers and maintain a sustainable operational risk profile.

This Senior Manager, Data Scientist role within the Generative AI Systems team at Capital One focuses on developing cutting-edge AI solutions for dialogue, text processing, and image analysis. The position involves leading cross-functional teams to build machine learning models from design through implementation, leveraging technologies like Python, AWS, and Spark to extract insights from massive datasets. Key responsibilities include translating complex technical work into business value, mentoring talent, and driving innovation in natural language processing and computer vision. The role is appealing for its opportunity to shape the future of financial services using emerging generative AI technologies, work with a collaborative culture of researchers and engineers, and contribute to research presented at major industry conferences. The position is based in McLean, Virginia or New York, New York.