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Remote Employee Experience Jobs in Silver Spring, MD

Fanniemae

Systems Engineer- Nexthink

Washington, DC · Remote

Experience with Nexthink or Digital Employee Experience (DEX) platforms. * Four or more years of ... remote. Fannie Mae is an equal opportunity employer and considers qualified applicants for ...

Fanniemae

Systems Engineer- Nexthink

Reston, VA · Remote

Experience with Nexthink or Digital Employee Experience (DEX) platforms. * Four or more years of ... remote. Fannie Mae is an equal opportunity employer and considers qualified applicants for ...

Moore DM Group LLC

Workforce Readiness Manager

Lanham, MD · On-site +1

$110K - $125K/yr

... employee experience. * Support culture renovation, change readiness, recognition, remote engagement, and employee connection initiatives across the organization. * Partner with leaders to convert ...

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Remote Employee Experience information

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$22K

$74.2K

$157K

How much do remote employee experience jobs pay per year?

As of Sep 12, 2026, the average yearly pay for remote employee experience in Silver Spring, MD is $74,196.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,554.00 and $94,597.00 per year, depending on experience, location, and employer.

What is a remote employee experience?

A Remote Employee Experience job focuses on creating a positive, engaging, and productive work environment for remote employees. This role involves designing policies, programs, and tools that support collaboration, well-being, and professional growth in a virtual setting. Key responsibilities include optimizing communication channels, enhancing company culture, and addressing remote work challenges. The goal is to ensure remote employees feel connected, supported, and motivated to perform at their best. Companies hiring for this role prioritize employee satisfaction and retention in distributed teams.

What are the key skills and qualifications needed to thrive in remote employee experience?

To thrive as a Remote Employee Experience professional, you need expertise in HR best practices, employee engagement strategies, and remote workforce management, typically supported by experience in human resources or organizational development. Familiarity with HRIS platforms, employee feedback tools (like Culture Amp or Officevibe), and collaboration software such as Slack or Microsoft Teams is often required. Outstanding interpersonal skills, empathy, and the ability to foster virtual connections distinguish top candidates. These competencies ensure that remote employees feel supported, engaged, and connected to the company culture, which is vital for retention and productivity.

What are some common challenges faced by remote employee experience professionals and how do they overcome them?

A major challenge for Remote Employee Experience professionals is maintaining a sense of connection and culture among distributed teams. To address this, they often implement regular virtual check-ins, creative engagement activities, and effective channels for transparent communication. Adapting company policies and benefits to suit remote needs, as well as gathering and acting on employee feedback, are also key strategies. Proactively building trust and inclusivity is essential, and those in this role continually seek innovative solutions to keep remote teams engaged and motivated.

What are the most commonly searched types of Employee Experience jobs in Silver Spring, MD?

The most popular types of Employee Experience jobs in Silver Spring, MD are:

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For Remote Employee Experience jobs in Silver Spring, MD, the most frequently searched job titles are:

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What cities near Silver Spring, MD are hiring for Remote Employee Experience jobs?

Cities near Silver Spring, MD with the most Remote Employee Experience job openings:

Remote Employee Experience jobs near you

Distinguished AI Engineer - Agentic AI Platform (Remote Eligible)

Mclean, VA • On-site, Remote

Capital One
Funds, Trusts and Financial Programs • 10K+ employees
Learn more about Capital Oneexternal

Full-time

Re-posted 20 days ago

Key responsibilities

  • Design and develop the agentic workflow framework, shared services, and platform architecture for the enterprise Generative AI Platform.

  • Evaluate, harden, and blend agentic frameworks and contribute to automating and standardizing agentic workflows to meet enterprise SLAs.

  • Contribute to creating developer tools such as SDKs, CLI, and starter kits to enable rapid prototyping and deployment of secure, observable agentic workflows.

Capital One rating

7.8

Company rating: 7.8 out of 10

Based on 148 frontline employees who took The Breakroom Quiz

Job description

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.

Why this Role Matters:


We are building an enterprise Generative AI Platform that lets dozens of product teams compose powerful, safe and explainable AI capabilities - without wrestling with model minutiae or infra plumbing.
You will design the agentic workflow framework, shared services such as memory, guardrails, vector search, SDKs and blueprints that translate foundation model power into production grade applications used by millions of users across multiple lines of businesses.


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.

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 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies

  • At least 8 years of experience programming with Python, Go, Scala, or Java

Preferred Qualifications:

  • 8+ 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

  • Experience as a Staff-plus or Distinguished IC engineer influencing 50+ engineers and C-suite stakeholders

  • K8s mastery (multi-region clusters, sericie 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.

Cambridge, MA: $269,100 - $307,200 for Distinguished AI Engineer


McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer


New York, NY: $293,600 - $335,100 for Distinguished AI Engineer


San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer


San Jose, CA: $293,600 - $335,100 for 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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