Capital One
AI Engineer 3 (AI Foundations)
Massachusetts · Part-time
Sponsorship not specified$162k-$185kDetected 31 days ago
PythonJavaGoC++C#ScalaAlgorithmsVector DatabasesAWSGCPAzureCloud PlatformsMachine LearningPyTorchData EngineeringNLPLLMsRAGAgentic AIA/B TestingCustomer SupportElectrical EngineeringResearch
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odds of building a lasting career here
61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role88
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Context, not a finding about this posting: of this employer's 3 green-card filings in this occupation, 100% were for a worker who already held the job.
Files H-1B transfers
96 transfer filings in the last year, covering 96 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- 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.
- 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 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.
Responsibilities
- Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
- Lead development and benchmarking of multi-turn conversational and tool-using agent workflows, ensuring measurable performance and safety metrics
- Implement scalable pipelines for training, fine-tuning and deploying foundation or domain-specific models across multiple environments
- Collaborate with research and data engineering teams to curate high-quality datasets and improve model evaluation methodologies
- 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
Requirements
- At least 3 years of experience programming with Python, Go, Scala, CUDA, or Java
- The Ideal Candidate:
- 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
Nice to have
- Experience contributing to development of components of AI systems with tradeoff decisions around cost, latency, throughput and accuracy
- 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
- Hands-on experience implementing retrieval-augmented generation (RAG), vector database integrations, and fine-tuning workflows
- Experience applying prompt-engineering strategies, safety guardrails, and red-teaming methodologies to production AI systems
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
- Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
- Cambridge, MA: $161,800 - $184,600 for AI Engineer 3
- McLean, VA: $161,800 - $184,600 for AI Engineer 3
Compensation
- $162k-$185k
Benefits
- Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.
- For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences.
- The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life.
Company info
- At Capital One, we are creating responsible and reliable AI systems, changing banking for good.
- 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.
- 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.
- 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.
- 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.
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This listing is sourced directly from Capital One's careers page and normalized into a canonical job model.