Jobs at Kingdom Solutions

This full-time manufacturing support role on the first shift involves joining a dynamic team of cross-trained operators at a global industrial plant. The position requires executing shop orders, performing quality checks, and operating various machinery including presses and pneumatic tools while interpreting blueprints. The role offers significant appeal through comprehensive cross-training across four distinct areas such as assembly and shipping, fostering skill development and career growth. Employees benefit from a collaborative, inclusive culture that values innovation and work-life balance, supported by a robust benefits package including health insurance and retirement matching. The position is based on-site at the Waukegan facility.

This full-time manufacturing support role on the first shift involves joining a dynamic team of cross-trained operators at Deublin's Waukegan plant. The position requires executing shop orders, performing quality checks, and operating various machinery including presses and pneumatic tools while interpreting blueprints. The role offers significant appeal through comprehensive cross-training across four distinct areas such as assembly and shipping, fostering skill development and career growth within a stable, collaborative environment. The company provides a supportive culture focused on innovation and inclusion, along with benefits like health insurance and a 401(k) plan. This on-site position allows individuals to contribute to global manufacturing solutions in the energy and automotive sectors.

This full-time manufacturing support role on the first shift involves joining a dynamic team of cross-trained operators at a global industrial manufacturing plant. The position requires executing shop orders, performing quality checks, and operating various machinery including presses and pneumatic tools while interpreting blueprints. The role offers significant appeal through comprehensive cross-training across four distinct areas such as assembly and shipping, fostering skill development and career growth within a collaborative, inclusive culture. The company provides a stable work environment with a focus on innovation and work-life balance, supported by robust benefits and a mission to drive progress in key industries.

The Gas & NGL Planning Engineer role within Aramco's Engineering Services division focuses on leading the development and coordination of capital programs for gas and natural gas liquids facilities. Key responsibilities include conducting techno-economic studies to identify investment opportunities, managing project development from feasibility assessment to full funding, and leading integrated project teams for major capital initiatives. The position also involves developing executive-level briefings and mentoring junior engineers. This opportunity is appealing due to the chance to work on world-scale industrial projects supported by significant technology investment and a strong commitment to workforce development. The role is based within Saudi Arabia and offers a full-time schedule in a high-performing environment focused on solving global energy challenges.

The Solution Architect role within Aramco's Engineering Services team bridges high-level business needs with technical execution to design scalable data ecosystems. Key responsibilities include leading end-to-end solution architecture for data pipelines, defining cloud-native infrastructure strategies, and developing proof-of-concepts for complex integrations. The position requires expertise in database governance, performance optimization, and migrating legacy systems to modern cloud environments. This opportunity appeals to professionals seeking to work on world-scale energy projects with access to significant technology investment and extensive workforce development programs. The role is based in Saudi Arabia and offers a full-time schedule within a collaborative environment focused on global energy challenges and innovation.

The Manager, Data Science - AI Foundations role leads the AI Foundations Specialist Models team within Capital One's mobile app division. The position focuses on designing and deploying scalable generative AI solutions, including Large Language Models and Natural Language Processing systems, to enhance customer interactions. Key responsibilities involve partnering with cross-functional teams to operationalize machine learning models for millions of users, leveraging technologies like PyTorch and AWS, and translating complex technical concepts into business value. The role is appealing for its opportunity to drive innovation at scale within a data-centric culture, offering a chance to shape next-generation financial experiences while fostering talent development and challenging conventional thinking.

The Applied Researcher I role within Capital One's AI Foundations team focuses on developing trustworthy and scalable artificial intelligence 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, offering the opportunity to work on high-impact research that directly influences customer interactions. The role emphasizes a culture of innovation and ethical AI development, providing a platform to lead research agendas and solve undefined problems in a collaborative environment.

This Director-level role within the External Data Strategy team at Capital One leads a group of 10 to 15 data scientists in building advanced analytics and machine learning models. The position involves overseeing the full data lifecycle, from sourcing external data and designing feature pipelines to implementing scalable solutions using Python, Spark, and AWS. Key responsibilities include partnering with cross-functional teams to drive business insights, providing technical guidance, and developing talent within the organization. The role appeals to candidates seeking to leverage big data to improve customer financial outcomes within a company that values innovation and data-driven decision-making. It offers the opportunity to work at scale across billions of records while fostering a culture of technical excellence and strategic leadership.

The Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and scalable AI systems for the banking sector. Key responsibilities include designing and deploying large language model solutions, optimizing foundation model training and inference, and implementing governance and observability tools using technologies like PyTorch and AWS. The position appeals to technical leaders who enjoy solving undefined problems and applying cutting-edge research to real-world products. The team offers a collaborative environment dedicated to transforming customer experiences through innovation, with opportunities to shape the long-term technical vision of foundational AI infrastructure.

This senior lead AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on building scalable, responsible large language model infrastructure and foundation model hosting. Key responsibilities include designing and deploying AI software components such as LLM inference, similarity search, and guardrails, while optimizing system performance for latency and cost using technologies like PyTorch and AWS. The position appeals to candidates seeking to lead technical vision for high-impact banking applications that enhance customer experiences. The role offers a collaborative environment where engineers can apply cutting-edge research to solve undefined problems and mentor teams, with opportunities to work on proprietary solutions that serve millions of users.

This Senior Manager, Machine Learning Engineering role leads an Agile team within Capital One focused on productionizing machine learning applications at scale. The position involves designing ML architectures, developing and reviewing model code, and building optimized data pipelines to solve complex business problems. Key responsibilities include managing model retraining and monitoring, ensuring high availability and performance, and enforcing responsible AI governance. The role appeals to candidates seeking to apply the latest innovations in distributed computing and cloud platforms while leading cross-functional teams. It offers a collaborative environment where professionals can continuously learn and drive technical strategy for state-of-the-art big data solutions.

This senior lead AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and scalable Gen AI platform services. The position involves designing and deploying large-scale AI systems, including foundation model training, LLM inference, and implementing guardrails using technologies like PyTorch and AWS. Key responsibilities include optimizing model performance for cost and latency, contributing to the technical roadmap, and collaborating with cross-functional partners to deliver innovative banking solutions. The role appeals to candidates seeking to apply cutting-edge research in a high-impact environment that values technical excellence and ethical AI development. It offers the opportunity to lead the creation of transformative customer experiences while working with a world-class engineering team.

This Manager, Product Management role leads the Enterprise AI/ML team at Capital One, focusing on safely introducing and scaling intelligent banking capabilities. The position requires driving innovation through human-centered design and technology-driven solutions while managing complex product risks. Key responsibilities include leading cross-functional teams to operationalize machine learning models, defining product strategy for technical platforms, and ensuring alignment with business goals. The role appeals to candidates seeking to shape the future of digital banking within a vibrant, transformational culture that values reimagining the status quo. The position is based in various US locations including Cambridge, Chicago, McLean, New York, Richmond, and San Francisco.

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.

The Senior Manager, Data Science - AI Foundations role leads the AI Foundations Specialist Models team within Capital One's mobile app division. The position focuses on designing and deploying scalable machine learning solutions, specifically leveraging Large Language Models and Natural Language Processing to enhance customer interactions. Key responsibilities include partnering with cross-functional teams to build AI-powered features, fine-tuning models for production environments serving over 80 million users, and translating complex technical concepts into business value. This opportunity appeals to candidates seeking to drive innovation in generative AI within a data-centric culture that values customer-first decision-making and professional growth. The role operates on-site in McLean, New York, or San Jose.

The 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 foundation model training and inference for performance and cost, and implementing governance and observability tools. The position leverages a modern stack including PyTorch, AWS, and vector databases to deliver high-impact products. This opportunity appeals to candidates seeking to apply cutting-edge research in a collaborative environment where they can shape the technical vision for enterprise AI. The role offers the chance to work on complex, undefined problems that directly enhance customer experiences while contributing to a culture of innovation and technical excellence.

This full-time Lead Machine Learning Engineer role within the Enterprise Platforms Technology team focuses on designing, building, and scaling production-ready machine learning systems for a major financial institution. The position involves collaborating with cross-functional Agile teams to architect ML solutions, develop optimized data pipelines, and ensure high availability and performance of deployed models. Key responsibilities include overseeing model retraining and monitoring, implementing continuous integration and deployment practices, and maintaining strict governance for responsible AI. The role appeals to candidates seeking to apply advanced technical skills in Python, Scala, or Java while working with cloud-based architectures at scale. It offers a dynamic environment for professional growth, the opportunity to lead engineering initiatives, and a collaborative culture centered on innovation and complex problem-solving.

The Senior Manager, Data Science - AI Foundations role leads the AI Foundations Specialist Models team within Capital One's Data Science department. This position focuses on building and deploying state-of-the-art scalable AI and machine learning solutions for the company's mobile applications, serving over 80 million customers. Key responsibilities include partnering with cross-functional teams to deliver generative AI features, leveraging technologies like PyTorch and Large Language Models to process vast datasets, and managing the full lifecycle of model development from design to production. The role is appealing for its opportunity to drive innovation at a Fortune 200 scale, work with cutting-edge NLP technologies, and foster a culture of customer-centric creativity and talent development.

The Senior Manager, Data Science - AI Foundations role leads the development of scalable AI and machine learning solutions for Capital One's mobile applications. The position involves partnering with cross-functional teams to design, train, and operationalize large language models and NLP systems that serve over 80 million customers. Key responsibilities include leveraging technologies like PyTorch and AWS to build generative AI features, adapting models for customer-facing interactions, and translating complex technical concepts into business value. This opportunity appeals to innovative leaders seeking to drive the next wave of disruption in financial services within a collaborative culture. The role offers the chance to work with cutting-edge tools while fostering talent development and shaping the future of digital banking experiences.

The Applied Researcher I role within Capital One's AI Foundations team focuses on developing trustworthy and scalable artificial intelligence systems to transform banking experiences. Key responsibilities include building and training large-scale foundation models, collaborating with cross-functional teams of engineers and product managers to deploy AI solutions, and translating complex research into tangible business value. The position appeals to candidates passionate about pushing the boundaries of machine learning, offering the opportunity to work with cutting-edge technologies like PyTorch and AWS while contributing to high-impact research that directly improves customer interactions. The role is based in major US hubs including Cambridge, McLean, New York, and San Francisco, with a strong emphasis on innovation, technical excellence, and professional growth within a collaborative engineering culture.

This Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and scalable AI systems to transform banking services. Key responsibilities include designing and deploying large language model solutions, optimizing foundation model training and inference for performance and cost, and implementing governance and observability tools. The position leverages a modern stack including PyTorch, AWS, and Huggingface to deliver high-impact products. The role appeals to candidates seeking to apply cutting-edge research in a collaborative environment where they can shape the technical vision for foundational AI. It offers the opportunity to work on complex, undefined problems with a team dedicated to bringing humanity and simplicity to financial services.

This senior leadership role within Capital One's Enterprise Platforms Technology team focuses on designing, building, and scaling machine learning applications for enterprise use. 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 models in production. Key responsibilities include leading cross-functional Agile teams, implementing continuous integration and deployment practices, and maintaining responsible AI governance. The role appeals to candidates seeking to drive innovation with emerging technologies while fostering a culture of continuous learning and technical excellence. The position offers opportunities to work with cloud-based architectures and manage complex data-intensive solutions at scale.