Staff Engineer, Agentic AI

Capital One Financial

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Remote

Quick summary

Work type: Remote
Location: McLean, VARichmond, VA
Employment: Full-time
Posted: 43 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $221k

$168k $281k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $179,200–$261,950.

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 2107 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1107 roles with salary data.

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At a glance

TL;DR · Staff Engineer, Agentic AI

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Staff Engineer - Agentic AI (Remote-Eligible) joins the Business Cards & Payment team to define the future of banking through agentic AI. This role involves leading the technical strategy and hands-on prototyping for real-time, hyper-personalized marketing systems and assistive field sales technologies. You will build tools for autonomous sales agents that self-improve via RLAIF while establishing technical charters for AI adoption. Key responsibilities include designing large-scale cross-domain architectures, performing code reviews, and mentoring engineering talent. Required skills include software engineering, solution architecture, and enterprise design patterns. Preferred qualifications include experience with AWS, Microsoft Azure, or Google Cloud, along with proficiency in Java, Python, Go, JavaScript, TypeScript, or Swift. You will solve complex problems by bridging current systems with future agentic marketing and sales infrastructures.

What does a Engineer earn in Remote?

Median $199471 from 30 postings across 16 companies.

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Skills

Agentic AI AWS Python Java Go TypeScript JavaScript Swift Microsoft Azure Google Cloud RLAIF Cloud Computing Solution Architecture Enterprise Architecture

What you'll do

Prototype and assess new technologies for hyper-personalized marketing and assistive field sales systems.
Define the long-term technical strategy and destination architecture for agentic AI systems.
Provide architectural guidance and designs for large-scale, cross-domain programs.
Execute proofs of concept and contribute hands-on code and reviews for engineering teams.
Serve as an authoritative expert on non-functional characteristics like performance, scalability, and operability.
Establish and evangelize technical charters to accelerate the adoption of AI technologies.
Mentor internal talent and coach the engineering community to strengthen technical expertise.
Clear technical and process roadblocks for developers across the organization.

What we're looking for

At least 7 years of experience in software engineering and solution architecture.
At least 7 years of experience in enterprise architecture and design patterns.
At least 3 years of experience with AWS.
Master's Degree in Computer Science or a related field (preferred).
2+ years of experience working on applied and agentic AI systems (preferred).
Strong communication skills to translate Agentic AI concepts into business value (preferred).
10+ years of experience in Cloud computing (AWS, Microsoft Azure, Google Cloud) (preferred).
10+ years of experience coding in Java, Python, Go, JavaScript, TypeScript, or Swift (preferred).
10+ years of professional experience in the full lifecycle of system development (preferred).

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