Jobs at New Orleans Saints

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.

This Applied Researcher II role within Capital One's AI Foundations team focuses on developing and deploying large-scale AI systems to transform banking experiences. The position involves partnering with cross-functional teams to build 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 seeking to work at the forefront of machine learning innovation in a collaborative environment that values creativity, ethical decision-making, and professional growth. The position requires a strong engineering mindset to deliver models at scale and offers the opportunity to shape the future of customer interactions through cutting-edge AI applications.

The Senior Vice President of Federation Fundraising leads the Development division at Planned Parenthood Federation of America, reporting to the Chief Development Officer. This strategic role unifies national and local fundraising efforts to maximize revenue for the organization's mission. Key responsibilities include overseeing the Direct Response and Digital Marketing programs, developing cohesive strategies for affiliate engagement, and driving data-driven growth across the federation. The position requires navigating complex dynamics between the national office and local affiliates while fostering a diverse, innovative team culture. The role appeals to leaders passionate about reproductive health equity, offering the opportunity to shape the future of mass-market philanthropy. The position involves significant travel to engage with affiliate leadership and operates within a collaborative environment that values belonging and shared purpose.

This senior management role within Capital One's Enterprise Product and Experience team focuses on leading the development of industry-defining digital products and platforms. The position involves driving cross-functional collaboration among data, design, engineering, and machine learning experts to deliver innovative customer experiences. Key responsibilities include applying human-centered design principles, translating business strategy into actionable product outcomes, and solving complex problems while mitigating risks. The role appeals to leaders seeking to shape the future of enterprise technology within a vibrant, transformational culture that values reimagining the status quo. The position is based in McLean, New York, or Richmond, offering opportunities to work with high-scale technologies and drive sustainable value creation.

This distinguished AI engineering 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 establishing governance and observability for production AI. The position leverages a modern stack of open-source and cloud technologies to solve complex, undefined problems. The role appeals to candidates seeking to lead technical vision, influence cross-functional stakeholders, and apply cutting-edge research to real-world impact. It offers a collaborative environment dedicated to innovation and high-leverage business outcomes.

The VP, Reliability and Automation Engineering Manager leads the Reliability Engineering function within the Digital Servicing Engineering domain, focusing on maintaining application stability and operational efficiency. Key responsibilities include defining reliability standards for monitoring and incident response, managing a team of engineers, and driving an automation-first strategy to reduce operational toil. The role requires deep technical expertise in modern architecture and strong leadership to foster a culture of continuous improvement and blameless learning. This position offers the appeal of shaping engineering strategy in a dynamic financial technology environment with a hybrid work model that allows flexibility between home and office hubs, alongside a commitment to an inclusive and collaborative company culture.

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 language model infrastructure, including training, inference, and optimization techniques to enhance performance 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 in a culture that values innovation and ethical AI. The position offers the opportunity to work with a broad stack of open-source and cloud technologies while driving high-impact solutions for millions of customers.

This Senior Director, Applied Research role leads the AI Foundations team at Capital One, focusing on building trustworthy AI systems that transform customer banking experiences. The position involves managing teams of applied scientists while partnering with cross-functional groups to design, train, and deploy large-scale foundation models. Key responsibilities include driving strategic research direction, leveraging advanced technologies like PyTorch and AWS to analyze vast data sets, and translating complex technical concepts into tangible business value. The role appeals to innovative leaders passionate about pushing the boundaries of machine learning, offering the opportunity to represent the company in the global research community and mentor high-performing talent. This position combines deep technical expertise with people leadership in a culture dedicated to reimagining financial services through cutting-edge artificial intelligence.

This 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 thrive on solving undefined problems and applying cutting-edge research to transform banking. It offers the opportunity to shape the long-term technical vision of foundational AI systems while working in a collaborative environment dedicated to responsible and reliable AI.

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 and training foundation models, leveraging technologies like PyTorch and AWS to extract insights from vast datasets, and collaborating with cross-functional teams to deploy scalable AI solutions. The role appeals to candidates seeking to apply cutting-edge research in a high-impact environment where innovation directly improves customer interactions. It offers the opportunity to lead a research agenda, publish findings, and work with state-of-the-art infrastructure in a culture that values technical excellence and ethical AI development. The position 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 infrastructure to transform banking services. Key responsibilities include designing and deploying large language model systems, optimizing inference performance for cost and latency, and implementing governance and observability tools using technologies like PyTorch and AWS. The position appeals to candidates seeking to apply cutting-edge research to real-world problems in a collaborative environment that values technical excellence and innovation. The role offers the opportunity to shape the long-term technical vision of foundational AI systems while working with a diverse cross-functional team.

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.

This managerial role within the AI Foundations team at Capital One focuses on developing scalable machine learning and natural language processing solutions for the company's mobile applications. The position involves leading cross-functional teams to design, train, and operationalize large language models that power personalized customer experiences and digital assistants. Key responsibilities include leveraging advanced technologies like PyTorch and AWS to process massive datasets, adapting generative AI for production environments serving over 80 million users, and translating complex technical concepts into strategic business goals. The role is appealing due to the opportunity to drive innovation at a Fortune 200 scale, work with cutting-edge AI tools, and foster a culture of talent development and creative problem-solving. The position is based in McLean, New York, or San Jose.

This senior leadership role serves as the VP and Product Owner for the Privileged Access Management program at Synchrony, focusing on the strategic evolution of the Delinea Secret Server suite. The position is responsible for defining the multi-year roadmap, managing privileged access analysts, and driving the adoption of Zero Trust principles and Just-in-Time access models across the enterprise. Key duties include overseeing credential lifecycle management, integrating PAM tools with ITSM and security platforms, and enforcing risk-based governance policies to reduce the privileged attack surface. The role appeals to candidates seeking to lead high-impact security initiatives within an inclusive culture that values diverse voices and professional growth. The work arrangement offers flexibility with the option to work from home near a designated hub or from an office, requiring periodic in-person attendance for team meetings and training.

This Manager-level Product Design Lead role resides within the Experience Design team at Capital One, focusing on creating meaningful digital and physical customer experiences. The position combines high-level craft expertise with leadership duties, including directing design projects, mentoring junior designers, and influencing product strategy through data-driven insights. Key responsibilities involve collaborating with cross-functional partners to develop innovative solutions, maintaining design systems, and presenting compelling narratives to senior stakeholders. The role is appealing for its emphasis on a collaborative culture that values diversity of thought, authenticity, and healthy critique. It offers the opportunity to experiment and drive innovation in a regulated financial environment while working toward a mission of changing banking for good.

This senior lead AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on building responsible and scalable generative AI platforms. The position involves designing and deploying large-scale AI systems, 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 governance and observability frameworks, and contributing to the long-term technical roadmap. The role is appealing for its opportunity to apply cutting-edge research to transform banking services, offering a collaborative culture that values innovation and technical excellence. The position supports a hybrid work arrangement and provides a platform to lead the development of high-impact solutions for millions of customers.

This Manager, Product Management role within Capital One's Enterprise Payments team focuses on defining the roadmap for the bank's digital payments strategy. The position involves modernizing legacy systems by transitioning to a cloud-based, API-driven architecture and leading the development of real-time payment experiences for consumer, small business, and commercial customers. Key responsibilities include shaping product strategy, collaborating with cross-functional teams of engineers and designers, and delivering intuitive solutions that blend digital design with backend integration. The role is appealing due to its position as an innovation laboratory within a top-tier bank, offering the opportunity to drive significant transformation in a tech-centric environment. The position requires a quantitative background and emphasizes human-centered problem solving and transformational leadership.

The Sr. Director, Product Management - AI/ML Platform Intelligence role leads a product team responsible for the core Machine Learning and Generative AI platforms at Capital One. This position involves setting technical strategy, monitoring platform performance, and ensuring resilience for mission-critical business applications. Key responsibilities include partnering with technology and risk teams to support data scientists and software developers, while driving the adoption of advanced infrastructure and tooling. The role is appealing for its opportunity to shape the future of AI/ML capabilities within a vibrant, innovative culture that values human-centered design and transformational leadership. The position requires significant people leadership and technical expertise in a high-impact environment focused on digital transformation.

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.

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 building and customizing large language models through pre-training, fine-tuning, and reinforcement learning techniques. Key responsibilities include partnering with cross-functional teams to deliver AI-powered products, leveraging technologies like PyTorch and AWS to analyze vast datasets, and translating complex research into tangible business solutions. The role appeals to candidates passionate about pushing the boundaries of AI while working in a collaborative environment that values innovation and customer impact. The position is based in major US hubs including Cambridge, McLean, New York, and San Jose.