ZipRecruiter

Log In

2

Remote Artificial Intelligence Finance Jobs (NOW HIRING)

GXM Consulting

Artificial Intelligence (AI) Lead Tester

$48.50 - $66.25/hr

GXM Technologies is seeking an Artificial Intelligence (AI) Lead Tester to provide both hands-on ... This position is Remote with Ad-Hoc travel possible but not expected. Responsibilities * Manage and ...

Statheros

Experience in applying PPO to [specific domain, e.g., robotics, gaming, finance, etc ... Remote work location. * Competitive salary. * Flexible work schedule. * Opportunities for ...

Oscar Health

Manager, Strategic Finance

Atlanta, GA · Remote

$111K - $145K/yr

This is a remote position, open to candidates who reside in: Atlanta, GA. You will be fully remote ... Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial ...

Oscar Health

Manager, Strategic Finance

Dallas, TX · Remote

$111K - $145K/yr

This is a remote position, open to candidates who reside in: Dallas, TX. You will be fully remote ... Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial ...

next page

Showing results 1-20

All JobsRemote Artificial Intelligence Finance Jobs

Remote Artificial Intelligence Finance information

See salary details

$11

$20

$29

How much do remote artificial intelligence finance jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for remote artificial intelligence finance in the United States is $20.40, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $22.84 per hour, depending on experience, location, and employer.

How does a Remote Artificial Intelligence Finance professional typically collaborate with cross-functional teams?

As a Remote Artificial Intelligence Finance professional, you’ll regularly collaborate with data scientists, software engineers, and financial analysts to develop and implement AI-driven financial models. Communication is often handled through virtual meetings, collaborative platforms, and shared documentation to ensure alignment on project goals and deadlines. This role requires proactive engagement and clear communication to bridge the gap between technical AI solutions and finance-specific requirements, making teamwork and adaptability essential for success.

What are the key skills and qualifications needed to thrive as a Remote Artificial Intelligence Finance professional, and why are they important?

To thrive as a Remote Artificial Intelligence Finance professional, you need a strong background in finance, data analysis, and AI concepts, often supported by degrees in finance, computer science, or related fields. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), financial modeling software, and data visualization tools is typically required. Exceptional problem-solving abilities, communication, and self-motivation are crucial soft skills for remote collaboration and effective project delivery. These competencies enable you to develop innovative AI-driven financial solutions, ensure accurate analysis, and work efficiently in a remote environment.

What is a Remote Artificial Intelligence Finance job?

A Remote Artificial Intelligence Finance job involves applying AI technologies, such as machine learning and data analysis, to financial processes and decision-making, all while working remotely. Professionals in this field develop algorithms for tasks like fraud detection, credit scoring, investment analysis, and risk management. They often collaborate with financial institutions or fintech companies to automate and enhance financial services, improving efficiency and accuracy. Working remotely allows them to contribute from anywhere, often using cloud-based tools and platforms to access data and communicate with teams.
More about Remote Artificial Intelligence Finance jobs
What cities are hiring for Remote Artificial Intelligence Finance jobs? Cities with the most Remote Artificial Intelligence Finance job openings:
What are the most commonly searched types of Artificial Intelligence Finance jobs? The most popular types of Artificial Intelligence Finance jobs are:
What states have the most Remote Artificial Intelligence Finance jobs? States with the most job openings for Remote Artificial Intelligence Finance jobs include:
What job categories do people searching Remote Artificial Intelligence Finance jobs look for? The top searched job categories for Remote Artificial Intelligence Finance jobs are:
Remote Artificial Intelligence Finance jobs near you
Artificial Intelligence (AI) Engineer

Artificial Intelligence (AI) Engineer

General Dynamics Mission Systems, Inc

Remote

$142K - $158K/yr

Full-time

Posted 10 days ago

General Dynamics Mission Systems rating

8.2

Company rating: 8.2 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

77th of 190 rated software companies

Job description

Basic Qualifications
Bachelor's degree in Software Engineering, or related Science, Technology, Engineering or Mathematics field, plus a minimum of 8 years of relevant experience; or Master's degree, plus 6 years relevant experience.
CLEARANCE REQUIREMENTS:: Department of Defense Secret security clearance is required at time of hire. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required.
Responsibilities for this Position
What You'll Own
  • Production AI services. Build and deploy agentic workflows, RAG pipelines, and LLM-integrated applications using Python, LangChain/LangGraph, and commercial foundation models (Claude, Codex, Gemini, open source).
  • Data-to-insight pipelines. Implement document ingestion workflows that transform unstructured enterprise data into structured models for AI reasoning - embeddings, vectorization, knowledge graphs.
  • API integration. Design and build secure API interfaces that connect AI services to internal tools, enterprise platforms (Oracle, IFS, Snowflake, PLM, MES, CRM), and data sources.
  • Deployment and reliability. Containerize and deploy AI services using Docker and Kubernetes. Build monitoring and evaluation pipelines to track model reliability, latency, and operational performance.
  • Prompt engineering at scale. Design, test, and optimize prompts and agent configurations for production use - not demos.
What You Won't Own
  • Platform architecture decisions - that's the Lead Architect's job
  • Project coordination, scheduling, or status reporting
  • Vendor evaluations or tool selection committees
What Makes This Role Different
  • You will build production AI systems for a 10,000-person enterprise - not prototypes, not demos, not proofs of concept
  • You will work in a multi-model environment (Claude, Codex, Gemini, open source) on real enterprise problems - legacy modernization, ERP replacement, manufacturing intelligence
  • AI-assisted development is the default workflow - Claude Code, Codex, agentic tooling. You will use AI to build AI.
  • The team is small, the problems are hard, and your code ships to production. Your work will directly change how a major defense enterprise operates.
Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related field, plus 5 years of experience; or Master's degree plus 3 years of experience
  • Production experience building applications with LLM APIs - you have deployed generative AI services that real users relied on, not just experimented with in notebooks
  • Strong Python development skills - you write clean, testable, production-grade code, not scripts
  • Experience with RAG pipelines, vector databases, and document ingestion workflows in production environments
  • Experience building and consuming REST APIs - you have integrated AI services with enterprise systems and data platforms
  • Containerized deployment experience - Docker, Kubernetes, CI/CD pipelines. You have shipped code through automated pipelines, not manual deployments.
  • U.S. citizenship required. Department of Defense Secret security clearance is required at time of hire.
Preferred Qualifications
  • Experience with agent frameworks - LangChain, LangGraph, or similar tools for building multi-step, tool-using AI workflows
  • Experience with multiple cloud platforms (AWS, Azure, GCP) including cloud-native AI services
  • Hands-on use of AI-assisted development tools (Claude Code, GitHub Copilot, Cursor) as part of your daily workflow
  • Experience with streaming data pipelines (Kafka, Airflow) and production data infrastructure
  • Model monitoring and evaluation - you have built systems to track AI service reliability, not just accuracy metrics in a notebook
  • Commercial technology background - SaaS, healthcare, fintech, or platform engineering. Defense experience is not required.
What Sets You Apart
  • You build things that work. Your default response to a problem is code, not a document.
  • You have shipped AI systems that real users depended on in production.
  • You are comfortable working without detailed specs - you can take a problem statement and figure out the right approach.
  • You care about reliability as much as capability - you monitor what you deploy.
  • You move fast without being reckless. You know when to iterate and when to get it right the first time.
Details
  • Remote - 100% telework
  • 9/80 schedule
  • Defense industry experience is not required

Salary Note
This estimate represents the typical salary range for this position based on experience and other factors (geographic location, etc.). Actual pay may vary. This job posting will remain open until the position is filled.
Combined Salary Range
USD $142,696.00 - USD $158,303.00 /Yr.
Company Overview
General Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation. With a global team of 12,000+ top professionals, we partner with the best in industry to expand the bounds of innovation in the defense and scientific arenas. Given the nature of our work and who we are, we value trust, honesty, alignment and transparency. We offer highly competitive benefits and pride ourselves in being a great place to work with a shared sense of purpose. You will also enjoy a flexible work environment where contributions are recognized and rewarded. If who we are and what we do resonates with you, we invite you to join our high-performance team!
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

What General Dynamics Mission Systems employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply