Jobs at Source One Technical Solutions

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 for 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 long-term technical roadmap. 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 initiatives. The position supports a culture of innovation and technical excellence, allowing engineers to lead the development of systems that enhance customer experiences while maintaining high standards of reliability.

This full-time Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building scalable infrastructure for foundation model hosting and large language model inference. Key responsibilities include designing and deploying AI software components, optimizing LLM performance for cost and latency, and implementing governance and observability tools using technologies like PyTorch and AWS. The position appeals to technical leaders who want to shape the future of banking by applying cutting-edge research to real-world customer experiences. The role offers the opportunity to work on high-impact, undefined problems within a collaborative environment that values innovation and responsible AI development.

The Applied Researcher II role within Capital One's AI Foundations team focuses on developing and deploying trustworthy artificial intelligence systems to transform banking experiences. Key responsibilities include building AI foundation models from design through production, leveraging technologies like PyTorch and AWS to analyze vast datasets, and collaborating with cross-functional teams to integrate state-of-the-art research into customer-facing products. The position appeals to innovative researchers passionate about solving undefined problems and driving the next generation of intelligent services. It offers a dynamic environment where candidates can pursue a personal research agenda, publish findings, and work with cutting-edge tools in a culture that values both technical excellence and ethical decision-making. The role is based in major hubs including Cambridge, McLean, New York, and San Jose.

The 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 infrastructure, optimizing model performance for latency and cost, and implementing governance and observability tools using technologies like PyTorch and AWS. This position appeals to technical leaders who thrive on solving undefined problems and applying cutting-edge research to real-world products. The role offers the opportunity to shape the long-term technical vision of foundational AI while working in a collaborative environment that values innovation and high-quality engineering.

This full-time Lead AI/ML Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building scalable, responsible AI infrastructure using Kubeflow and foundation models. Key responsibilities include designing and deploying large language model systems, optimizing inference performance for cost and latency, and implementing governance and observability tools. The position leverages a modern stack including PyTorch, AWS, and vector databases to deliver high-impact products. The role appeals to candidates seeking to apply cutting-edge research in a collaborative environment that values technical excellence and innovation. It offers the opportunity to shape the long-term technical vision for AI at a leading financial institution while working with world-class talent.

This lead AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible, scalable generative AI platforms. The position involves designing and deploying large language model infrastructure, including training, inference, and governance systems, while optimizing performance for cost and latency. Key responsibilities include collaborating with cross-functional partners to deliver AI-powered products and applying state-of-the-art research to production environments using technologies like PyTorch and AWS. The role appeals to technical leaders seeking to reimagine banking through breakthrough AI capabilities, offering a collaborative culture that values innovation, resilience, and the opportunity to solve undefined problems at scale.

This Applied Researcher I role within Capital One's AI Foundations team focuses on developing trustworthy AI systems that transform customer banking experiences. The position involves partnering with cross-functional teams to build and deploy large-scale foundation models, utilizing technologies like PyTorch and AWS to extract insights from vast datasets. Key responsibilities include managing the full research lifecycle from design and training to evaluation and implementation, while translating complex technical concepts into tangible business value. The role is appealing for its opportunity to work on cutting-edge machine learning projects with a mission to bring humanity to finance, offering a collaborative environment that values innovation and professional growth. Candidates will engage with high-impact research to push the boundaries of current AI capabilities.

The Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and scalable GenAI platforms, including LLM core and agentic systems. Key responsibilities involve designing and deploying AI software components such as foundation model training, inference, and guardrails, while optimizing large-scale production systems for performance and cost. The position offers the opportunity to work with cutting-edge technologies like PyTorch and AWS Ultraclusters to solve undefined problems and shape the technical vision for the future of banking. This role appeals to those seeking a collaborative environment where they can apply state-of-the-art research to real-world challenges, driving innovation in a culture committed to bringing humanity and simplicity to financial services.

This lead AI engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible generative AI platforms and LLM infrastructure. The position involves designing and deploying scalable AI components such as foundation model training, inference systems, and guardrails while leveraging technologies like PyTorch and AWS. Key responsibilities include optimizing large-scale production systems for performance and cost, collaborating with cross-functional partners to deliver AI-powered products, and contributing to the long-term technical vision for foundational AI. The role appeals to candidates passionate about applying cutting-edge research to real-world banking challenges, offering the opportunity to work on high-impact problems that transform customer experiences. The position is based in major US hubs including Cambridge, McLean, New York, and San Francisco.

This full-time Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building scalable infrastructure for foundation model hosting and large language model inference. The position involves designing and deploying AI software components, optimizing LLM performance for cost and latency, and implementing governance and observability tools using technologies like PyTorch and AWS. The role appeals to candidates seeking to apply cutting-edge research to real-world banking challenges while contributing to a culture of responsible AI innovation. The team collaborates cross-functionally to deliver high-impact products, offering opportunities for technical growth and shaping the future of AI systems in a major financial institution.

This full-time Lead Machine Learning Engineer role within Capital One's Agile teams focuses on productionizing machine learning applications at scale. The position involves designing and building ML models to solve real-world business problems, developing optimized data pipelines, and ensuring high availability and performance of deployed systems. Key responsibilities include collaborating with product and data science teams, managing model retraining and monitoring, and implementing continuous integration and deployment practices using languages like Python, Scala, or Java. The role appeals to candidates seeking to apply the latest innovations in machine learning engineering within a collaborative environment that emphasizes responsible AI and technical growth. The position is based in McLean, VA, New York, NY, or Plano, TX.

This Lead AI/ML Engineer role within the Intelligent Foundations and Experiences team focuses on building scalable, responsible AI infrastructure and platforms at Capital One. Key responsibilities include designing and deploying large language model systems, optimizing foundation model training and inference for performance and cost, and implementing governance and observability tools using technologies like Kubeflow and PyTorch. The position appeals to technical leaders who thrive on solving undefined problems and applying cutting-edge research to real-world banking challenges. The role offers the opportunity to shape the long-term technical vision for AI while working in a collaborative environment that values innovation, quality, and the mission to transform banking for good.

This senior distinguished AI engineering role at Capital One focuses on building responsible and scalable AI systems within 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 partnering with cross-functional teams to deliver AI-powered products, leveraging technologies like PyTorch and AWS, and contributing to the long-term technical vision for foundational AI. The role appeals to candidates passionate about applying cutting-edge research to transform banking, offering the opportunity to solve undefined problems in a collaborative environment that values technical excellence and innovation. The position is based in various US locations including Cambridge, McLean, New York, Richmond, San Francisco, and San Jose.

This Applied Researcher I role within Capital One's AI Foundations team focuses on developing trustworthy AI systems to transform banking experiences. The position involves partnering with cross-functional teams to build and deploy large-scale foundation models, utilizing technologies like PyTorch and AWS to extract insights from vast datasets. Key responsibilities include managing the full research lifecycle from design and training to evaluation and implementation, while translating complex technical concepts into tangible business value. The role appeals to candidates passionate about pushing the boundaries of machine learning and deep learning, offering the opportunity to work on high-impact projects that redefine customer interactions. The position is based in major hubs including Cambridge, McLean, New York, and San Francisco, providing a collaborative environment dedicated to innovation and ethical AI development.

This Senior Lead Machine Learning Engineer role sits within an Agile team focused on productionizing AI and ML systems for Capital One's Credit and Financial Risk Management products. The position involves leading engineering pods, designing scalable AI architectures, and building intelligent applications using technologies like LLM inference and agentic AI. Key responsibilities include mentoring teams, developing robust data pipelines, ensuring model governance and responsible AI practices, and managing the full lifecycle of model deployment and monitoring. The role appeals to candidates seeking to apply cutting-edge machine learning innovations in a collaborative environment while working with a broad stack of cloud-based technologies. The position is based in various US locations including Cambridge, McLean, New York, and Richmond.

This Applied Researcher II role within Capital One's AI Foundations team focuses on developing and deploying large-scale artificial intelligence systems to transform banking experiences. The position involves partnering with cross-functional teams to build AI foundation models, leveraging technologies like PyTorch and AWS to extract insights from vast datasets, and translating complex research into tangible business solutions. The role appeals to candidates passionate about pushing the boundaries of machine learning, offering the opportunity to work on state-of-the-art projects that directly impact customer interactions. It emphasizes a culture of innovation, leadership, and continuous learning within a collaborative environment dedicated to trustworthy and reliable AI.

This full-time Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and scalable GenAI platforms, including LLM core and agentic systems. Key responsibilities involve designing and deploying AI software components such as foundation model training, inference, and guardrails, while optimizing large-scale production systems for performance and cost. The position offers the appeal of working at the forefront of applied science to transform banking, with a collaborative culture that encourages innovation and the application of cutting-edge research. The role requires deep technical expertise in Python and cloud infrastructure to solve undefined problems and deliver high-impact customer 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, 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 full-time 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. 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, implementing state-of-the-art research in production environments, and contributing to the long-term technical roadmap. The role is appealing for its opportunity to work with cutting-edge technologies like PyTorch and AWS Ultraclusters while driving meaningful change in customer experiences. It offers a collaborative culture that values innovation and technical excellence, with a hybrid work arrangement based on the specific location.

The Lead AI Engineer role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and 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 implementing governance and observability tools using technologies like PyTorch and AWS. The position appeals to candidates passionate about applying cutting-edge research to real-world problems, offering the opportunity to shape the technical vision for foundational AI. The role involves collaborating with cross-functional partners to deliver high-impact products and provides a dynamic environment for engineers who thrive on solving undefined challenges.

This lead AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on building scalable infrastructure for foundation model hosting and large language model inference. The position involves designing and deploying AI software components, including model training, similarity search, and guardrails, while leveraging technologies like PyTorch and AWS. Key responsibilities include inventing state-of-the-art optimization techniques to enhance system performance, latency, and cost, as well as contributing to the long-term technical vision for foundational AI systems. The role appeals to candidates passionate about applying cutting-edge research to transform banking, offering the opportunity to work on high-impact problems in a collaborative environment that values responsible AI. 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 and deploying trustworthy, large-scale AI systems to transform banking experiences. The position involves partnering with cross-functional teams to build foundation models from design through production, leveraging technologies like PyTorch and AWS to extract insights from massive datasets. Key responsibilities include conducting high-impact research on emerging AI methods, optimizing training and inference for deep learning models, and translating complex technical concepts into tangible business value. The role appeals to candidates seeking to work at the intersection of cutting-edge research and real-world application within a collaborative culture that values innovation, ethical AI practices, and professional growth. The position is based in McLean, New York, or San Jose, with opportunities to drive the next generation of customer-facing intelligent products.

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.