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Remote Ai Jobs in Springfield, VA (NOW HIRING)

Remote Engaging lawyers to contribute their subject-matter expertise in support of a customer ... No prior experience in AI is required -- your domain knowledge is what matters. This opportunity is ...

Remote Engaging lawyers to contribute their subject-matter expertise in support of a customer ... No prior experience in AI is required -- your domain knowledge is what matters. This opportunity is ...

Remote Engaging lawyers to contribute their subject-matter expertise in support of a customer ... No prior experience in AI is required -- your domain knowledge is what matters. This opportunity is ...

Remote Engaging lawyers to contribute their subject-matter expertise in support of a customer ... No prior experience in AI is required -- your domain knowledge is what matters. This opportunity is ...

Experience: * 6+ years in software engineering, with meaningful time building AI/ML or agentic systems * Location: Remote (US). Occasional travel for team offsites and customer visits. How We'll ...

New

Artificial Intelligence AI Engineer - Gen AI, NLP Talent Pool for upcoming assignments Remote, Work-from-Home Must be a U.S. Citizen with a Secret Clearance. @Orchard LLC is anticipating a need for ...

Data & AI Engineer - 90408785 - Remote

Washington, DC · On-site +1

$129K - $155K/yr

Remote The Data & AI Engineer Specialist plays a key role in delivering Amtrak's enterprise data and AI capabilities that enable data-driven decisions, automation, and innovation. This role ...

Data & AI Engineer - 90408785 - Remote

Washington, DC · On-site +1

$129K - $155K/yr

Remote The Data & AI Engineer Specialist plays a key role in delivering Amtrak's enterprise data and AI capabilities that enable data-driven decisions, automation, and innovation. This role ...

Data & AI Engineer - 90408785 - Remote

Washington, DC · On-site +1

$129K - $155K/yr

Remote The Data & AI Engineer Specialist plays a key role in delivering Amtrak's enterprise data and AI capabilities that enable data-driven decisions, automation, and innovation. This role ...

Data & AI Engineer - 90408785 - Remote

Washington, DC · On-site +1

$129K - $155K/yr

Remote The Data & AI Engineer Specialist plays a key role in delivering Amtrak's enterprise data and AI capabilities that enable data-driven decisions, automation, and innovation. This role ...

Showing results 41-60

Remote Ai information

See Springfield, VA salary details

$87.2K

$132.7K

$178.6K

How much do remote ai jobs pay per year?

As of Aug 9, 2026, the average yearly pay for remote ai in Springfield, VA is $132,687.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,900.00 and $149,900.00 per year, depending on experience, location, and employer.

Are these remote AI jobs legit?

Remote AI jobs are legitimate opportunities in the technology industry, often involving tasks like data annotation, model training, or software development. However, job seekers should verify the employer's credibility, review job descriptions carefully, and be cautious of scams that request upfront payments or personal information.

What are common challenges faced by remote AI engineers, and how do teams typically address them?

Remote AI Engineers often encounter challenges such as collaborating across time zones, communicating complex technical concepts virtually, and maintaining alignment with rapidly evolving project goals. Companies usually address these by leveraging robust project management tools, scheduling regular virtual meetings, and encouraging active participation through collaborative platforms like Slack or GitHub. Teams may also implement documentation best practices and mentorship programs to foster skill sharing and support remote integration. With access to virtual collaboration resources and clear processes, remote engineers are empowered to contribute effectively and stay aligned with team objectives.

What remote AI jobs can be done remotely?

Remote AI jobs include roles such as AI software engineer, machine learning engineer, data scientist, and AI research scientist. These positions often require skills in programming, data analysis, and familiarity with AI frameworks, and they can typically be performed from any location with a reliable internet connection.

What is a remote AI?

A Remote AI job refers to a position where professionals work on artificial intelligence projects from a remote location. These roles can include machine learning engineers, data scientists, AI researchers, and software developers who build, improve, and maintain AI models and systems. Remote AI jobs allow professionals to collaborate online, using cloud-based tools and communication platforms to develop intelligent solutions for various industries.

What are the key skills and qualifications needed to thrive in the remote AI position?

To thrive as a Remote AI Engineer, you need expertise in machine learning, data analysis, and proficiency in programming languages like Python or R, supported by a degree in computer science or a related field. Experience with machine learning frameworks such as TensorFlow or PyTorch and familiarity with cloud platforms (AWS, Azure, or Google Cloud) are commonly required, and certifications can add value. Excellent communication, self-motivation, and time-management skills are crucial for collaborating effectively in a distributed team environment. These skills ensure you can develop, deploy, and maintain AI solutions efficiently while working remotely with cross-functional teams.

What are the most commonly searched types of Ai jobs in Springfield, VA? The most popular types of Ai jobs in Springfield, VA are:
What are popular job titles related to Remote Ai jobs in Springfield, VA? For Remote Ai jobs in Springfield, VA, the most frequently searched job titles are:
What job categories do people searching Remote Ai jobs in Springfield, VA look for? The top searched job categories for Remote Ai jobs in Springfield, VA are:
What cities near Springfield, VA are hiring for Remote Ai jobs? Cities near Springfield, VA with the most Remote Ai job openings:
Infographic showing various Remote Ai job openings in Springfield, VA as of August 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 100% Remote job distribution, with an average salary of $132,687 per year, or $63.8 per hour.

Senior. Distinguished AI Engineer - Agentic AI Platform (Remote Eligible)

Capital One

Mclean, VA • On-site, Remote

$105K - $145K/yr

Full-time

Re-posted 15 days ago


Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

93rd of 170 rated banks


Job description

Senior. Distinguished AI Engineer - Agentic AI Platform (Remote Eligible)

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.

Team Description:

The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.

In this role, you will:

  • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.

  • You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement.

  • A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them.

  • Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%.

  • Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents.

  • You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG.

  • You'll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs

  • Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities.

The Ideal Candidate:

  • You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good.

  • Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production.

  • You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.

  • You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss.

  • You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown.

Capital One is open to hiring a Remote Employee for this opportunity

Basic Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or AI plus at least 10 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 8 years of experience developing AI and ML algorithms or technologies

  • At least 10 years of experience programming with Python, Go, Scala, or Java

Preferred Qualifications:

  • 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)

  • 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen)

  • 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning)

  • 8+ years of experience designing mission-critical machine learning platforms

  • 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems

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

  • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang

  • Master's degree in Computer Science, Computer Engineering, or relevant technical field

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

  • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers

  • Experience leading GenAI or LLM-Powered application architectures in production

  • Deep understanding of Responsible AI, data privacy and multi-tenant security patterns

  • K8s mastery (multi-region clusters, service mesh)

  • Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Remote (Regardless of Location): $286,200 - $326,700 for Sr. Distinguished AI Engineer


Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer


McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer


New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer


San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer


San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer






Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).


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