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Capital One Software Architect (AI/ML) in Bengaluru, India

Voyager (94001), India, Bangalore, Karnataka

Software Architect (AI/ML)

At Capital One, we think big and do bigger things. We were the first company to develop and offer mass customization and personalization of credit card, auto loans and other financial services products, and we have been innovating relentlessly ever since. We take pride in being on the Cloud and having a rigorous focus on modernizing our architecture with recent advancement in technologies. Our goal is simple – bring ingenuity, simplicity and humanity to an industry ripe for change.

DataLabs in Capital One, is a passionate and entrepreneurial team with heart – a team that embraces bold ideas, fosters collaboration, and delivers world-class products and services impacting over 65 million customer accounts. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. At Capital One, we value developers' experience. We believe in empowering developers with productivity tools that help them to solve customer problems faster, at scale and in a domain complaint way. With the recent development in AI, Datalabs team at Capital One is committed to enhance the developer experience like never before. We are working on some exciting problem statements around providing best-in-class development experience, for example (but not limited to) code search, information retrieval, self healing systems, architecture assistant, AI assisted feature testing etc.

We are seeking a Software Architect - AI/ML who are passionate about AI, ready to take on new challenges and love to deal with ambiguity. In this role, you will work as part of our DataLabs Financial Services GenAI team and build end-to-end applications using the Large-Language Models (LLMs) and Foundation Models (FMs), to improve the developer experience. You will build, maintain APIs and SDKs to train, fine-tune, prompt and access AI models to build real world capabilities that improves the experience of software developers.

Examples of projects you will work on include:

  • Architecting and building solutions to the complex problems using the GenAI capabilities.

  • Drive AI experiments, evaluating LLMs and building POCs using the AI capabilities to influence the roadmap.

  • Write efficient and maintainable code in languages most suited to the AI/ML tasks (ex, Python).

  • Develop and deploy tools and processes to monitor API access patterns and operational health.

  • Continuously upskill yourself with the recent developments in AI and apply your knowledge for solving the problems.

  • Integrate AI capabilities from broader CapitalOne ecosystem to solve customer problems in a secure and compliant way.

  • Practice domain-compliant, secure and responsible AI.

  • Coach junior team members and influence technical decision making.

  • Collaborate with product managers, customers and other stakeholders.

Basic Qualifications

  • Bachelor’s degree in Computer Science, Computer Engineering or a technical field

  • At least 8 years of experience designing, building and deploying ML applications.

  • At least 8 years of experience programming with Python, Go, Scala.

  • Latest experience that showcases practical understanding of LLMs, prompting, fine-tuning, vector DBs, architectural design for chatBots and information retrieval using RAG.

  • Relevant experience of working with data engineers and understanding of data stores to accomplish the data requirements for the AI/ML project.

  • At least 4 years’ experience with a public cloud (AWS, Microsoft Azure, Google Cloud)

Preferred Qualifications

  • Master's Degree or Phd in Computer Science or a related field

  • Familiarity with building large-scale AI products or platforms for NLP, speech, computer vision, or recommendation systems serving millions of users.

  • 5+ years of experience in distributed microservices.

No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. 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 RecruitingAccommodation@capitalone.com . 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 One's recruiting process, please send an email to Careers@capitalone.com

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).

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