Capital One
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Bengaluru · On-site · 6-9 Yrs · Oct 26
Banking & Lending · 10000+ Employees · Mc Lean, US
Capital One is passionate about building a culture that benefits all associates. Here, people from different backgrounds, experiences and education levels come together to create a sense of belonging. Everyone is supported in the work they want to do and in getting where they want to go. A career here is an opportunity to create work that matters—while maintaining a healthy work/life balance. We’re connecting customers to the tools and resources that will improve their financial lives. What’s in it for you? A career surrounded by brilliant people and supported by great benefits and wellbeing. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Hiring: Engineering
What employees say
+ great culture and nice team
− india team doesnt get great work
More reviews on the company profile.
Interview experience · Associate
The interview were in 4 phases, and questions asked were relevant to the job role. First round is screening where they talk more about the company than your skills. Then second and third round are more focused on the JD.
Average difficulty · Bengaluru · 129 reports
More interview insightsJob description
Overview
Voyager (94001), India, Bangalore, Karnātaka
Responsibilities
- Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One
- Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
- Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more
- Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems
- Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One
- Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI
- Translate enterprise AI goals into actionable team roadmaps with measurable outcomes and regular readouts
- Operationalize Responsible AI: establish review gates, documentation/evaluation requirements, and rollout/rollback standards for all production AI systems
- Create strong collaboration interfaces with Research, Data, and Platform teams to accelerate model lifecycle
Qualifications
- You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good
- Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production
- You get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example
- You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven
- You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss
- You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown
- Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering
- At least 6 years of experience developing AI and ML algorithms or technologies
- At least 1 year of people leadership experience
- 3+ years of experience managing and leading an engineering team
- 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
- 6+ years of experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang
- 3+ years of experience in building agentic AI systems and agentic workflows
- Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production
- Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers
- 3+ years of experience leading technical strategy for a multi-disciplinary AI team, balancing research exploration with production delivery
- Familiarity with MLOps, AI observability (evaluation pipelines, drift monitoring, model/version governance) to ensure reliability and compliance
- Track record mentoring engineers/scientists to productize prototypes and meet production SLOs
- 3+ years of experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)
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Job application FAQ
Last updated 3 November 2026
- How do I apply for Senior Manager- AI Engineer at Capital One?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Capital One may attach structured assessments to interview rounds after you apply.
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- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Senior Manager- AI Engineer remote or on-site in Bengaluru, Karnataka?
- This listing is marked on_site with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this Senior Manager- AI Engineer role at Capital One?
- This is a senior Senior Manager- AI Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.