Lead, Software Engineer, Data &amp; AI – Capital One Software (Remote)Capital One Software is seeking an experienced Lead, Software Engineer (Data &amp; AI) to join our Rapid Prototyping Team, which is responsible for building and prototyping new features of Capital One Software’s next-generation data and cloud security platform to address emerging customer use cases and showcasing key product capabilities. Our software solutions leverage the state-of-art Data &amp; AI technologies, and help enterprises discover, share, and protect their most critical data assets across hybrid and multi-cloud environments. This team plays a crucial role in designing and prototyping new product capabilities, evaluating cutting-edge technologies and is on the front line with customers to iterate on new features. <div><div><div><div>We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Capital One Lead, Software Engineer, you’ll have the opportunity to be on the forefront of building this business and bring these tools to market.  What You’ll Do<ul><li>Lead a portfolio of diverse technology projects and a team of developers with deep experience in large-scale distributed systems, data security and governance, and cloud-native architecture. Make impactful, hands-on contributions throughout the project lifecycle, from scoping, design to coding and operations. </li><li>Share your passion for staying on top of tech trends, experimenting with and learning new technologies on Security Data Management Platform, Agentic AI, Cloud Data Warehouse, etc, participating in internal &amp; external technology communities, mentoring other members of the engineering community.</li><li>Collaborate with product managers, translate product requirements into engineering tasks, make trade-off calls to balance delivery timelines and engineering best practices.</li><li>Own and drive cross functional partnerships with teams spanning Engineering, Platform, Design, Data Science, Security and GTM teams, and partner closely with the leadership/stakeholders of various teams within these teams.</li><li>Drive innovations on building AI-enabled agents, fine-tune LLM models for data classification and sensitive data detection. </li></ul>Basic Qualifications<ul><li>Bachelor’s Degree</li><li>At least 4 years of experience in software engineering (Internship experience does not apply)</li><li>At least 2 year experience with cloud computing (AWS, Microsoft Azure, or Google Cloud). </li><li>At least 3 years experience in  programming language; Java, Python, C++, Rust or Go.  </li></ul>Preferred Qualifications<ul><li>Master’s Degree </li><li>Prior experience in building Data Security Posture Management (DSPM) system is a huge plus.  </li><li>Proficient in SQL. Hands-on experience with RDBMS and NoSQL databases.</li><li>Hands-on experience with Container Orchestration services including Docker and Kubernetes. </li><li>Experience in cloud-based lakehouses such as Databricks, Snowflake, AWS Athena, etc. </li><li>Experience in open source data governance/catalog platforms such as Datahub, OpenMetadata or Atlas is a plus.</li><li>Hands-on experience in building production scale agentic AI systems. Familiar with tools such as Langchain, Langgraph, and MCP. </li><li>Hands-on experience in fine-tuning LLM, and deployed to productions to serve customers.</li><li>2+ years of experience in Agile practices  </li></ul>At this time, Capital One will not sponsor a new applicant for employment authorization for this position</div></div></div></div>The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.Remote (Regardless of Location): $175,800 - $200,700 for Lead Machine Learning Engineer  Richmond, VA: $175,800 - $200,700 for Lead Machine Learning Engineer                  Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the <a target="_blank" href="https://www.capitalonecareers.com/benefits">Capital One Careers website</a>. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at <a href="mailto:RecruitingAccommodation@capitalone.com" target="_blank">RecruitingAccommodation@capitalone.com</a>. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital Ones recruiting process, please send an email to <a href="mailto:Careers@capitalone.com" target="_blank">Careers@capitalone.com</a>Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Capital One

Lead, Software Engineer, Data & AI – Capital One Software (Remote)

Capital One

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