Senior Manager- AI Engineer
Capital One · Bengaluru · onsite · Posted 2d ago
Undisclosed6–11 yrsfulltimeSourced from
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About this role
Bangalore, Karnataka, India
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.
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
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
- Bachelors 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)
Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
AI infrastructureCudacomputer engineeringcloud platformsai modelsamazon web servicesai technologiesArticulateai engineerAi ResearchBankingGolangdeploymentelectrical engineeringForgecloudAlgorithmscomplianceAi SolutionsMicrosoft AzureArtificial Intelligence
About CapitalOne
Capital One
FinTech
175
employees
1994
32 years old
McLean
United States
About
Capital One helps customers find the right credit cards, checking or savings accounts, auto loans, and other banking services for them & their businesses.
Industries
FinTechBanking / Insurance / AccountingFinancial Services
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