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Remote Artificial Intelligence Finance Jobs (NOW HIRING)

Booz Allen Hamilton, Inc.

Intelligence Analyst

Charleston, SC · On-site +1

$61K - $141K/yr

Remote Work: No Job Number: R0247226 Location: Charleston,SC,US Share job via: Share Intelligence ... Our offerings include health, life, disability, financial, and retirement benefits, as well as paid ...

The Pennsylvania State University

$112K - $135K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Candidates should have professional or research experience applying artificial intelligence ...

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

As of Sep 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.

What is a remote artificial intelligence finance?

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.

What are the key skills and qualifications needed to thrive as a remote artificial intelligence finance professional?

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.

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.
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Remote Artificial Intelligence Finance jobs near you
Infographic showing various Remote Artificial Intelligence Finance job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 94% Full Time, 4% Part Time, and 1% Contract. Highlights an 78% Physical, 6% Hybrid, and 16% Remote job distribution, with an average salary of $42,427 per year, or $20.4 per hour.

Principal Software Engineer, AI Email Applications, Artificial Intelligence (AI) Required - Work Fro

San Francisco, CA • Remote

Next Step Systems
IT Services • 11 - 50 employees
Learn more about Next Step Systemsexternal

$159K - $213K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 7 days ago

Job description

Job Description

Principal Software Engineer, AI Email Applications, Artificial Intelligence (AI) Required - Work From Home

As the Principal Software Engineer, AI Email Applications, you own the engineering layer that turns Artificial Intelligence (AI) capability into a reliable product.  You will shape the architecture across backend services, APIs, and client applications, while leading a small team of senior engineers.  This is a hands-on leadership role.  You stay close to the code, make critical architectural decisions, and ensure the system remains fast, reliable, and coherent as it scales.  This position is 100% Remote.

MUST BE WILLING TO TAKE A 60 MINUTE CODING ASSESSMENT.

Principal Software Engineer Responsibilities:

- Own the application engineering strategy and execution across backend, mobile, and desktop.

- Design reliable systems for AI-powered workflows, including state, orchestration, tool use, retries, fallbacks, and failure handling.

- Build the APIs and abstractions that connect Artificial Intelligence (AI) systems to real-world product experiences.

- Lead a small, senior engineering team and raise the technical bar through design reviews, code reviews, and hands-on mentorship.

- Make high-impact trade-offs across latency, reliability, cost, security, and user experience.

- Establish strong production foundations: observability, monitoring, testing, and operational excellence.

- Partner closely with Machine Learning (ML) leadership to turn model capabilities into robust, shippable product experiences.

- Move quickly while keeping the architecture simple, maintainable, and ready to scale.

Principal Software Engineer Outcomes:

- Production systems are observable, monitored, and stable under real-world load.

- Decisions consistently balance speed, cost, reliability, and user experience.

- Features across backend, mobile, and desktop work smoothly and reliably.

- Latency and reliability improve measurably over time.

Qualifications

Principal Software Engineer Qualifications:

- Artificial Intelligence (AI) experience is required.

- Significant experience leading application or product engineering for complex systems.

- Strong hands-on background building and shipping backend systems used in production.

- Experience building AI-powered products or systems that integrate with modern Machine Learning (ML)/Large Language Model (LLM) capabilities.

- Strong technical judgment and the ability to make decisions with incomplete information.

- Comfortable working across backend and client platforms, with deep expertise in at least one.

- A strong bias toward ownership, shipping, and learning from real-world usage.

- High standards for code quality, reliability, and engineering fundamentals.

Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.

Keywords:  San Francisco CA Jobs, AI, Artificial Intelligence, AI Email Applications, APIs, Backend, Desktop, IT Lead, LLM, Large Language Model, ML, Machine Learning, Mobile, Principal Software Engineer, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting

Looking to hire a Principal Software Engineer in San Francisco, CA or in other cities?  Our IT recruiting agencies and staffing companies can help.

We help companies that are looking to hire Principal Software Engineers for jobs in San Francisco, California and in other cities too.  Please contact our IT recruiting agencies and IT staffing companies today!


Additional Information

Please check out all of our jobs at www.nextstepsystems.com.