R249922

Posted: 10/22/2026

Distinguished AI Engineer Location: Bengaluru, India

Category: AI & Machine Learning

Experience Level: Director

Primary Address: Bengaluru, India

Overview Voyager (94001), India, Bangalore, Karntaka

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry-leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.

At Capital

One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

Team Description The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. Our Generative AI models and platforms empower teams across Capital One to enhance their products by composing powerful, safe and explainable AI capabilities such as agentic workflows, and shared services such as guardrails, observability, and evals coupled with foundational model power of open-weight and proprietary frontier models. The team is also delivering capabilities on top of the platform to optimize the software development life-cycle to dramatically enhance developer productivity and model-development life cycle to improve time-to-market of machine learning models.

In this role, you will:

- 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.

- Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, evals engine, experimentation, governance, and observability, etc.

- Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.

- Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost,



latency, throughput - of large scale production AI systems.

- Devise novel context generation techniques that optimize cost / quality trade-offs.

- Design and implement capabilities for automated monitoring, anomaly detection and RCA for multi-turn and headless agentic applications.

- Collaborate with lines of businesses to design and implement high value agentic applications.

- Coach and evangelize, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs, and representing Capital One at Tier1 AI conferences.

The Ideal Candidate:

- A passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.

- An ability to adapt quickly and thrive on bringing clarity to big, undefined problems. Love asking questions and digging deep to uncover the root of problems and articulate findings concisely with clarity.

- Courage to share new ideas even when they are unproven.

- A deep technical foundation. Strong foundation in engineering and mathematics, with expertise in hardware, software, and AI enabling you to see and exploit optimization opportunities that others miss.

- A resilient trailblazer who can forge new paths to achieve business goals when the route is unknown.

Basic Qualifications:

- Bachelor's degree in Computer Science, Electrical Engineering, or Computer Engineering.

- At least 6 years of experience developing AI and ML algorithms or technologies.

- At least 8 years of experience programming with Python, Go, Scala, or Java.

Preferred Qualifications:

- 10 years of experience deploying scalable and responsible solutions on cloud platforms (e.g., AWS, Google Cloud, Azure, or equivalent private cloud).

- 4 years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems.

- 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, or Golang.

- 2 years of experience with Agentic frameworks (LangChain, CrewAI, AutoGen, etc.).

- 2 years of experience leading GenAI or LLM-Powered application architectures in production.





- 2 years of experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost.

- 2 years of experience with Observability and Evals for agentic applications.

- Passion for staying abreast of the latest AI research and AI systems, and judiciously applying novel techniques in production.

- Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level.

- Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers.

- Master's or Ph.D. in Computer Science, Computer Engineering, especially in AI/ML areas.

Additional Information At this time, Capital One will not sponsor a recent applicant for employment authorization for this position.

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-(phone hidden) or via email at [email protected]. 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 [email protected].

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).

📌 Distinguished AI Engineer at Capital One (India)
🏢 Capital One
📍 India