Senior Manager- AI Engineer

Responsibilities

The Senior Manager will lead a cross-functional team to design, deploy, and optimize scalable AI systems and foundation models. They are responsible for setting technical strategy, mentoring talent, and ensuring the responsible implementation of AI solutions across the enterprise.

Requirements

Candidates must hold a bachelor's degree in a technical field and possess at least 6 years of experience in AI/ML development. Additionally, at least 1 year of people leadership experience is required, with a preference for those with extensive cloud platform and agentic AI expertise.

Skills

• Artificial Intelligence
• Machine Learning
• Large Language Models
• Python
• Cloud Computing
• AWS
• Vector Databases
• PyTorch
• Model Evaluation
• MLOps
• System Architecture
• Leadership
• Software Engineering
• Data Governance
• Agentic AI
• Optimization

About this role

Voyager (94001), India, Bangalore, Karnātaka
Senior Manager- AI Engineer
At Capital One India, 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. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.

What You’ll Do:
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

The Ideal Candidate:
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

Basic Qualifications:
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

Preferred Qualifications:
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)

At this time, Capital One will not sponsor a new applicant for employment authorization for this positio...

About Capital One

Financial Services · 10,001+ employees · headquartered in McLean, Va