AI Engineer 5, Gen AI Platform Services: Agentic AI, Guardrails, Evaluations

Capital One Financial

Confirmed live today High trust

Quick summary

Work type: On-site
Location: New York, NYSan Francisco, CAMcLean, VACambridge, MASan Jose, CA
Salary: $229,900–$262,400 / yr
Employment: Full-time
Posted: 1 day ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $204k

This role $246k

$150k most similar roles pay here $274k

This role pays more than 85% of similar roles. Most pay $162,000–$246,150 — the shaded band above. At the midpoint, this role pays about $246k versus about $204k for comparable roles.

Based on 240 similar postings.

Employer

About Capital One Financial

Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking

Capital One Financial currently has 1783 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 942 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · AI Engineer 5, Gen AI Platform Services: Agentic AI, Guardrails, Evaluations

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The AI Engineer 5 (Gen AI Platform Services: Agentic AI, Guardrails, Evaluations) joins the Intelligent Foundations and Experiences team to develop responsible, scalable AI systems for banking. You will design, develop, test, and support AI software components, including foundation model training, large language model inference, agents, multi-agent workflows, similarity search, guardrails, and model evaluation. Key responsibilities involve inventing optimization techniques for performance, scalability, and cost, while leading cost-performance governance reviews and mentoring other engineers. You will utilize a technical stack including AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, Python, Go, Scala, CUDA, and Java. This role solves complex problems regarding multi-model orchestration, integrating LLMs and domain-specific models into unified production pipelines while ensuring technical consistency, compliance with engineering standards, and ethical deployment through explainability and fairness.

What does a AI Engineer earn in New York?

Median $246150 from 64 postings across 10 companies.

See salary data

Skills

Python Go Scala CUDA Java C++ C# PyTorch AWS Huggingface VectorDBs LLM Agentic AI Model Evaluation Observability Model Compression

What you'll do

Design, develop, test, deploy, and support AI software components including LLM inference, agents, and multi-agent workflows.
Implement foundation model optimization techniques to improve scalability, cost, latency, and throughput of production systems.
Design and optimize multi-model orchestration pipelines integrating LLMs, vector search, and domain-specific models.
Establish and lead cost-performance governance reviews to track GPU utilization and inference cost efficiency.
Lead team design councils to ensure technical consistency and compliance with AI engineering standards.
Mentor Principal and Manager-level AI engineers to foster cross-domain learning and elevate organizational technical maturity.
Contribute to the technical vision and long-term roadmap of foundational AI systems.

What we're looking for

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related field plus 6 years of AI/ML experience.
Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related field plus 4 years of AI/ML experience.
At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java.
Experience leading development of AI systems with tradeoff decisions around cost, latency, throughput, and accuracy (preferred).
7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (preferred).
Experience designing, developing, delivering, and supporting complex AI systems (preferred).
Experience developing AI/ML algorithms like LLM Inference, Similarity Search, VectorDBs, and Guardrails using Python, C++, C#, Java, CUDA, or Golang (preferred).
Experience developing and applying state-of-the-art techniques for optimizing training and inference software (preferred).

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