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Associate Principal, Artificial Intelligence Engineering
The Options Clearing Corporation
United States
…and implementation of sophisticated RAG systems and complex LLM agent workflows, providing technical leadership and mentoring to team members. Collaborate cross functionally with product…
Added 13 mins ago
Agentic AI Engineer - Kennesaw, GA
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Added 29 mins ago
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Added 37 mins ago
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…continuous improvement of agent architectures, orchestration, and LLM-powered application features. This role owns the hands-on engineering of intelligent capabilities - from model…

Capital One

Full-stack Engineer 5 (Java, Spring, Kafka, CI/CD, AI tools, Glue, RDS, DynamoDB) (Enterprise Platforms Technology )

New York, NY, United States

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Job details

Posting language: English
Posted: Sep 30, 2026

Original job description

Full-stack Engineer 5 (Java, Spring, Kafka, CI/CD, AI tools, Glue, RDS, DynamoDB) (Enterprise Platforms Technology )

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers, and disruptors who solve real problems and meet real customer needs.

We are seeking a highly skilled and visionary Full- Stack Engineer 5 who is passionate about Artificial Intelligence, Machine Learning, full-stack systems, and leveraging cutting-edge open-source frameworks. As a Capital One Manager-level IC, you’ll be on the forefront of driving a major transformation across the enterprise.

Team

Marketing and Messaging operates as a key line of business supported by Enterprise Platforms Technology (EPTech), driving hyper-personalized consumer experiences through EPTech's enterprise scale, governance, and architectural practices

What You’ll Do

Lead & Execute: Lead a portfolio of diverse technology projects and direct a team of developers with deep experience in distributed microservices and full-stack systems.
Architect & Scale: Drive end-to-end design and implementation of large-scale, cloud-native systems with high reliability, performance, and data design requirements. Partner with architects and product leaders to shape long-term system architecture, platform roadmaps, and shared services strategies.
Innovate with AI/ML: Direct the design, development, testing, and implementation of intelligent technical solutions using emerging AI technologies, Large Language Models (LLMs), and cloud infrastructure to power hyper-personalized user experiences.
Collaborate & Empower: Partner closely with digital product managers to build robust, cloud-based solutions that drive high-impact experiences, helping millions of Americans achieve financial empowerment.
Tech Stack Mastery: Leverage a diverse technical stack including Java, JavaScript, TypeScript, Python, Go, Scala, and Node.js, combined with Open Source RDBMS, NoSQL databases, container orchestration (Docker, Kubernetes), and modern AWS cloud ecosystems.
Champion Engineering Culture: Mentor members of the engineering community, conduct rigorous code reviews to maintain technical excellence, participate in tech communities, and champion modern engineering practices across multiple teams.

Basic Qualifications:

Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
At least 6 years of experience in software engineering (Internship experience does not apply)
At least 3 years of experience with public cloud platforms (AWS, GCP, Azure), cloud-based productivity tools, or virtualization technologies

Preferred Qualifications:

9+ years of experience coding with two or more of the following: Go, Java, JavaScript, TypeScript, Python, Rust, C#, Scala, or SQL
7+ years of experience in at least one of the following: Java, JavaScript, Python, Go, TypeScript, or SQL
5+ years of experience contributing to open-source frameworks
5+ years of experience with front-end JavaScript or TypeScript frameworks
5+ years of experience creating synchronous and asynchronous APIs
4+ years of experience leading technical direction and executing large-scale, cross-functional projects across multiple engineering teams
4+ years of experience with AWS, GCP, Azure, cloud-based productivity tools, or virtualization technologies
4+ years of experience with CI/CD pipelines, infrastructure as code, and automated testing frameworks
4+ years of experience with database and database management systems
4+ years of experience using Git-based version-control systems (e.g., Git, GitHub, Bitbucket)
4+ years of experience troubleshooting technical issues within cloud environments
3+ years of experience with AWS, GCP, Azure, or another cloud service
3+ years of experience mentoring senior engineers and driving professional development within technical teams
2+ years of experience in Agile practices
2+ years of experience leveraging observability to identify and optimize performance bottlenecks in distributed systems
1+ year of experience working with big data ETL using Dataflow, AWS Glue, or Databricks
1+ year of experience utilizing Generative AI coding tools, IDE copilots, and advanced LLM capabilities (such as Claude Code) to enhance engineering productivity
1+ year of experience in prompt engineering or developing features enhanced by Artificial Intelligence
1+ year of experience leading architectural design reviews and influencing enterprise-wide technical standards and methodologies
1+ year of experience establishing and enforcing coding standards and design patterns across teams
1+ year of experience implementing observability and reliability practices at scale

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $229,900 - $262,400 for Full-stack Engineer 5

New York, NY: $250,800 - $286,200 for Full-stack Engineer 5

Richmond, VA: $209,000 - $238,500 for Full-stack Engineer 5

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website (https://www.capitalonecareers.com/benefits) . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

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 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . 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 Careers@capitalone.com

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).

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Skills

Lead a team
Microservices
ML
Oracle Java
JavaScript
TypeScript
Python
Go
Scala
Node.js
NoSQL
Docker
Kubernetes
AWS
Computer science
Statistics
Research
Google Cloud
Microsoft Azure
Rust
C#
SQL
CI/CD
Infrastructure as code
Test automation
Database management systems
Git
Control systems
GitHub
Atlassian Bitbucket
Troubleshooting
Coaching
Agile
Data engineering
Databricks
IDE
Artificial intelligence
Architectural design
Technical support
Recruitment

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