Jobs at New Orleans Saints

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 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 is based in McLean, Virginia or New York, New York.

The Senior Manager, Product Management role for Associate Experience leads a newly formed team dedicated to the technology foundation supporting over 70,000 employees. The position focuses on building secure, frictionless platforms for devices, authentication, and software discovery while balancing strict security protocols with user productivity. Key responsibilities include defining product roadmaps, negotiating with vendors, influencing cybersecurity policy, and driving cross-functional alignment with engineering and executive leadership. This opportunity is appealing due to the high level of autonomy in building a team from scratch, the chance to solve complex, ambiguous problems, and the mission to transform internal technology experiences. The role operates within a collaborative culture that values platform thinking and offers flexibility across various office locations.

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.

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.

The role involves leading the Enterprise Product and Experience team at Capital One, focusing on reimagining customer experiences through technology and data transformation. Key responsibilities include driving cross-functional collaboration among engineering, design, and data science groups to deliver innovative digital products, while applying human-centered and business-focused strategies to solve complex problems. The position offers an appealing environment for growth within a vibrant product culture that values innovation and transformational leadership. The team operates with a focus on integrated problem-solving to create industry-defining platforms for associates and customers.

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.

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.

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 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.