Jobs at IT-SCIENT

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 distinguished AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on building an enterprise Generative AI platform for agentic workflows. The position involves designing the core framework for agent orchestration, developing shared services like memory and guardrails, and standardizing patterns across major frameworks to ensure scalable, production-grade applications. Key responsibilities include creating developer tools such as SDKs and CLI kits to accelerate prototyping, implementing trust and safety measures to prevent incidents, and optimizing system performance for multi-tenant environments. The role appeals to senior engineers seeking to lead high-impact innovation in responsible AI, offering the opportunity to mentor staff-level engineers, influence cross-functional architecture, and represent the company at major industry conferences. The position is based in major 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 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 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 distinguished AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on building a proprietary Agentic AI Platform to transform banking services. The position involves designing north-star platform architectures, standardizing agentic workflows using frameworks like LangGraph and AutoGen, and developing a comprehensive GenAI SDK to accelerate production timelines. Key responsibilities include implementing trust and safety guardrails, optimizing orchestration for performance and cost, and mentoring engineering teams while representing the company at industry conferences. The role appeals to candidates seeking to lead breakthrough applied science initiatives in a collaborative environment where responsible AI drives real customer impact. The position is based in major US hubs including McLean, Cambridge, New York, and San Francisco.

This distinguished AI engineering role within Capital One's Intelligent Foundations and Experiences team focuses on architecting and launching conversational experiences powered by state-of-the-art Generative AI for millions of customers. Key responsibilities include designing and deploying large-scale AI systems involving foundation model training, LLM inference, and optimization techniques to ensure scalability and cost-efficiency. The position requires collaborating with cross-functional teams to integrate proprietary AI solutions while contributing to the long-term technical vision. The role is appealing for its opportunity to lead breakthrough product experiences that reimagine banking, offering a chance to work with cutting-edge technologies like PyTorch and AWS Ultraclusters in a culture that values responsible AI innovation and technical excellence.

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 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 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 distinguished AI engineering 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 cost and latency, and collaborating with cross-functional partners to deliver AI-powered products. The position appeals to candidates seeking to apply state-of-the-art research in production environments while shaping the technical vision for foundational AI. The role offers the opportunity to work with a broad stack of open-source and cloud technologies in a culture that values innovation, technical excellence, and solving complex, undefined problems.

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 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.

This senior engineering role focuses on developing and maintaining Anti-Money Laundering products within the financial crime technology team. The position involves designing scalable transaction monitoring systems, translating complex regulatory requirements into technical specifications, and integrating external data sources like sanctions lists. Key responsibilities include implementing Actimize models, optimizing detection algorithms, and collaborating with compliance and data science teams to enhance fraud prevention capabilities. The role appeals to candidates seeking to apply their engineering skills to high-impact financial security challenges while working in an inclusive culture that values innovation. The work arrangement offers flexibility with options to work from home near company hubs or on-site, requiring occasional travel for meetings and training events.

This full-time AI/ML Engineer role at Torch Technologies supports the Missile Defense Agency's Ground Test scenario design team within the company's defense engineering division. The position involves designing and deploying machine learning models to support mission-critical objectives, optimizing model performance, and integrating solutions into existing workflows using Python and frameworks like PyTorch. The role emphasizes explainability, reliability, and rigorous evaluation of algorithms. The position is appealing due to the company's employee-owned structure, which fosters a collaborative culture and offers long-term stability. It provides an opportunity to work on meaningful defense projects with a focus on technical innovation. The job is based in Huntsville, Alabama, with a standard Monday through Friday schedule and minimal travel requirements.

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 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.