> Markdown version of [/jobs/ext/4590334-staff-ai-engineer-enterprise-analysis-platform-remote-eligible](https://www.wearedevelopers.com/jobs/ext/4590334-staff-ai-engineer-enterprise-analysis-platform-remote-eligible). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Staff AI Engineer - Enterprise Analysis Platform (Remote Eligible)

- **Company:** Capital One Financial Corporation
- **Location:** McLean, VA, United States
- **Experience:** Expert
- **Salary:** $244,700.0 - $279,200.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, C Sharp (Programming Language), C++ (Programming Language), Nvidia CUDA, Computer Programming, Computer Engineering, Python (Programming Language), Systems Integration, Private Cloud Environment, Google Cloud, IT Architecture, Multi-Cloud, Information Technology, Low Latency, Model Inference, Data Pipelines, Golang
- **Published:** November 5, 2026
- **Apply:** https://www.thejobnetwork.com/job/c5bba05e-0bfc-4abd-9c46-407fad789908/staff-ai-engineer-enterprise-analysis-platform-remote-eligible

## About the Role

* Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies
\n

 * At least 8 years of experience programming with Python, Go, Scala, CUDA, or Java
\n, * Experience designing AI systems with tradeoff decisions around cost, latency, throughput and accuracy
\n

 * 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
\n

 * Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems
\n

 * Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level
\n

 * 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
\n

 * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
\n

 * Experience in building agentic AI systems and agentic workflows
\n

 * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production
\n

 * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers
\n

 * Proven track record of defining and operationalizing enterprise AI architecture standards, including data pipeline governance, observability and evaluation frameworks
\n

 * Experience leading federated or multi-cloud AI strategies to maximize resilience, compliance and compute efficiency
\n

 * Demonstrated success influencing research-to-production promotion processes - guiding model handoff, evaluation and productization
\n

 * Experience defining north-star metrics for AI systems that balance business value, innovation velocity, cost, and ethical responsibility
\n

 * Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs)
\n