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ai engineer remote at wiraa remote

Hiring from
Probably Worldwide
Work type
Remote
Posted
Sep 27, 2026
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**About The Company**<br/>Capital One is a leading financial services company dedicated to transforming banking through innovative technology and responsible AI systems. With a strong reputation for leveraging machine learning and data-driven solutions, Capital One strives to deliver personalized, real-time customer experiences and streamline banking operations. The company's commitment to technological excellence and customer-centric services has positioned it as an industry leader. Capital One continuously invests in cutting-edge infrastructure, world-class talent, and research-driven AI applications to reimagine banking for the future. Its mission is to create responsible and reliable AI systems that bring humanity and simplicity to financial services, ensuring a positive impact on customers, businesses, and the broader community.

**About The Role**<br/>The Staff AI Engineer for the Enterprise Analysis Platform is a pivotal role within Capital One's innovative AI landscape. This remote-eligible position involves partnering with cross-functional teams—including engineers, research scientists, project managers, and product teams—to develop and deploy advanced AI-powered products. The primary focus is on building a scalable, enterprise-grade AI native platform that empowers over 15,000 users across various lines of business to perform AI-assisted data analysis. The role requires designing, developing, testing, and supporting sophisticated AI software components such as foundation model training, large language model inference, similarity search, and governance systems. The ideal candidate will contribute to shaping the technical vision and roadmap of foundational AI systems, leveraging a broad stack of open-source and SaaS AI technologies like AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, and PyTorch. This position offers an exciting opportunity to innovate at the forefront of AI, optimizing large-scale models for performance, scalability, and cost-efficiency, and ultimately transforming how the company operates and serves its customers.

**Qualifications**

- Bachelor's degree in Computer Science, Engineering, or AI with at least 8 years of experience in developing AI and ML algorithms or technologies<br/>- Master's degree in Computer Science, Engineering, or relevant technical field with at least 6 years of experience in AI/ML<br/>- Minimum of 8 years programming experience with Python, Go, Scala, or Java<br/>- Experience deploying scalable and responsible AI solutions on cloud platforms such as AWS, Google Cloud, or Azure<br/>- Proven ability to architect, design, develop, and support complex AI systems<br/>- Demonstrated leadership in mentoring engineering teams and influencing cross-functional stakeholders up to VP level<br/>- Strong foundation in engineering and mathematics, with expertise in hardware, software, and AI optimization opportunities<br/>- Experience with AI/ML techniques such as LLM inference, similarity search, VectorDBs, guardrails, and memory systems<br/>- Excellent communication skills, capable of articulating complex AI concepts clearly to technical and non-technical audiences<br/>- Willingness to stay current with the latest AI research and incorporate novel techniques into production systems

**Responsibilities**

- Partner with multidisciplinary teams to deliver AI-powered products that enhance operational efficiency and customer experience<br/>- Design, develop, test, deploy, and support AI software components including foundation model training, inference, and governance systems<br/>- Leverage open-source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, and Nemo Guardrails to build scalable solutions<br/>- Invent and implement state-of-the-art optimization techniques for large language models to improve performance metrics such as latency, throughput, and cost<br/>- Contribute to the technical vision and long-term roadmap of AI foundational systems at Capital One<br/>- Ensure AI systems adhere to governance, safety, and observability standards<br/>- Mentor junior engineers and influence best practices across teams<br/>- Stay updated on emerging AI research and incorporate innovative techniques into production pipelines

**Benefits**

- Comprehensive health, dental, and vision insurance plans<br/>- Competitive salary and performance-based incentives<br/>- Flexible work arrangements, including remote work options<br/>- Generous paid time off and holidays<br/>- Retirement savings plans with company match<br/>- Continuous learning and professional development opportunities<br/>- Inclusive and diverse workplace culture<br/>- Employee assistance programs and wellness resources

Equal Opportunity

Capital One is an equal opportunity employer committed to fostering an inclusive environment. We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other legally protected status. We promote diversity and inclusion in all aspects of employment and are dedicated to providing a workplace where everyone can thrive. We consider qualified applicants for employment regardless of criminal history, in accordance with applicable laws and regulations. Capital One values fairness, integrity, and respect for all employees and applicants.

Location: Location not specified (Remote)

Remote: Yes

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