Remote jobs in the United States

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Added 1 hour ago
CU
Part-Time Online Course Facilitator: AI/ML Technology and Architecture
Cornell University
Remote, United States
- Part-time
Brings substantial professional experience as a data scientist, machine learning engineer, NLP engineer, AI engineer, or AI/software architect, with a track record of building and deploying…
Added 1 hour ago
Senior AI Engineer, AI Safety
NVIDIA USA
Remote, United States
Education: Bachelor’s degree or Master’s degree with equivalent experience in Computer Science, Machine Learning, Software Engineering, or a related field.
Added 2 hours ago
Senior Backend Cloud Engineer
Halcyon
Remote, United States
…includes malware analysis engines, automated threat detection, and machine learning…
Added 3 hours ago
TT
Software Engineer, AI Agents
True Talent Solutions Partners
Remote, United States
- $200,000 to $320,000 USD / year
- Five to twelve years of software engineering experience building core products, ideally with applied AI or machine learning.
Added 3 hours ago
Forward Deployed Solution Engineer – Applied AI FDE
ServiceNow
Remote, United States
…systems in customer-facing or embedded roles. Experience building machine learning/ GenAI systems with modern AI/ML technologies, including LLMs, embeddings, vector databases, and RAG…
Added 5 hours ago
GL
Principal - Forward Deployed Engineer
GlaxoSmithKline LLC
Remote, United States
- $205,425 to $342,375 USD / year
Lead multi-FDE engagement teams, directing Staff, Senior, and Engineer-level FDEs across concurrent engagements within assigned business units.
Added 5 hours ago
Staff - Forward Deployed Engineer
GlaxoSmithKline LLC
Remote, United States
Recognized expertise in AI, ML, and data science - classical ML, deep learning, LLMs and foundation models, statistical and causal inference, and MLOps at scale - with the credibility to…
Added 5 hours ago
I
Senior Machine Learning Engineer, Agentic Context Retrieval and Search (Nova)
Iterable
Remote, United States
- $150,000 to $250,000 USD / year
As a Senior Machine Learning Engineer on Nova, you'll lead context retrieval and search. The goal is agent responses that are grounded in evidence, aware of the customer's context, and…
Added 5 hours ago
I
Senior Machine Learning Engineer, Agentic Evals and Self-Improvement (Nova)
Iterable
Remote, United States
- $150,000 to $250,000 USD / year
As a Senior Machine Learning Engineer on Nova, you'll lead evaluation and automatic optimization for Nova's models and agents. That means measuring how they perform, finding where they…
Added 5 hours ago
I
Senior Machine Learning Engineer, Nova Intelligence
Iterable
Remote, United States
- $150,000 to $250,000 USD / year
As a Senior Machine Learning Engineer at Iterable, you will design and build the end-to-end machine learning systems that power intelligence across our product. As a high-tech marketing…
Added 6 hours ago
V
Senior QA/SDET
Vouched
Remote, United States
- $180,000 to $210,000 USD / year
…users. We make identity verifi cation easy with a combination of machine learning and data checks. Our customers leverage our APIs, integrations, and no-code solution to onboard customers…
Added 6 hours ago
Staff Software Architect
CVS Shared Services Resources LLC
Remote, United States
Master's degree in Computer Science, Machine Learning, or equivale
Added 6 hours ago
C
Senior Security Engineer, Infrastructure Security
ClickUp
Remote, United States
- $160,000 to $210,000 USD / year
- Compute, network and pipeline security. Harden our container, serverless and virtual machine workloads, our network perimeter and our CI/CD pipelines, and add checks so each class of…
Added 6 hours ago
C
Senior AI Developer
ClickUp
Remote, United States
- $200,000 to $250,000 USD / year
- Background in data science, applied science, or machine learning engineering.
Added 7 hours ago
Consultant - R01573317
Brillio
Remote, United States
Added 7 hours ago
Senior Data Engineer
Nextech
Remote, United States
Experience designing AI-ready schemas, semantic layers, or metadata structures with downstream AI or machine learning query patterns in mind, or experience building automated validation for…
Added 7 hours ago
Sr. Firmware Engineer II
Samsara
Remote, United States
Experience working with teams across multiple disciplines, including but not limited to Product Management, Cloud Software, Machine Learning, and Hardware.
Added 7 hours ago
B
Staff Client Support Engineer
BigID
Remote, United States
- $120,000 to $140,000 USD / year
BigID named Hot Company in Artificial Intelligence and Machine Learning at the Global InfoSec Awards
Added 7 hours ago
C
Senior Security Engineer, DFIR
ClickUp
Remote, United States
- $160,000 to $210,000 USD / year
If you are a software engineer who is only starting to learn security, please do apply!
Added 8 hours ago
K
Boston Preferred - Data Engineer
Kforce
Remote, United States
- $65 USD / hour
Experience in Data Science and Machine Learning is nice to have
Added 8 hours ago
Software Engineer II, Attack Detection
Abnormal
Remote, United States
Strong software engineering skills are essential. Practical machine learning experience is preferred.
Added 8 hours ago
Senior Machine Learning Engineer
Coinbase
Remote, United States
The ML & Discovery team in Consumer Growth builds the machine learning systems that help millions of customers discover what to trade and engage with next across crypto, equities,…
Added 9 hours ago
GL
Engineer I - Forward Deployed Engineer
GlaxoSmithKline LLC
Remote, United States
- $95,700 to $159,500 USD / year
The Engineer I is a mid-level individual contributor in the FDE team. This role contributes to FDE engagements under the direction of more senior FDEs, learning the practice through…
Added 9 hours ago
GL
Engineer II - Forward Deployed Engineer
GlaxoSmithKline LLC
Remote, United States
- $131,175 to $218,625 USD / year
3+ years of experience in full-stack software engineering, AI engineering, machine learning engineering, or a related field, including experience deploying software or AI/ML solutions to…
Added 9 hours ago
Identity & Access Management (IAM) Engineer
Backblaze External Website
Remote, United States
The Identity & Access Management (IAM) Engineer designs, implements, and operates identity and access capabilities for human users, non-human identities, workloads, devices, services, and…

Closed listing

ServiceNow

Forward Deployed Solution Engineer – Applied AI FDE

Remote, United States

This opening has closed.

The original listing is kept below for reference.

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About employer

Job details

Experience: Relevant Experience: 8+ years of software engineering, including 2+ years building systems in customer-facing or embedded roles.
Posting language: English
Posted: Nov 3, 2026

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Original job description

Archived listing. The details below describe a past opening.

Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone - freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow - helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people.

Job Description

Team Bio:

ServiceNow’s Applied AI Forward Deployed Engineering (FDE) team is where bold ideas meet transformative action. We partner with our most strategic customers to shape the future of enterprise AI. Together, we identify high-value opportunities, accelerate business outcomes, and build reusable AI-native solutions that advance the Now AI Platform. Our mission: We partner deeply with our customers to build intelligent, scalable AI solutions that solve their most mission-critical challenges. By embedding in real-world complexity, we deliver fast, iterate with purpose, and transform every success into reusable patterns that accelerate transformation across the Now Platform and the broader enterprise.

Why This Role Matters:

Enterprises are raising the bar. AI initiatives must deliver business value - not just promise potential. That means taking cutting-edge LLM capabilities and turning them into resilient, secure, and scalable software. As a Forward Deployed Software Engineer (FDSE), you act as the CTO of the build - owning everything from backend services to LLM pipelines and front-end integrations. You partner with customers in the field to design, implement, and deliver solution-ready builds in agile sprints. Your software becomes the reference implementation for scalable GenAI in the enterprise. You codify patterns, shape internal tooling, and accelerate innovation - delivering systems that are battle-tested in production and scalable across industries.

Who You Are:

You are a systems-minded, AI-native engineer who ships real software. You own the full stack - and are equally motivated by elegant APIs, intuitive UIs, and scalable orchestration pipelines. You think like a product-minded CTO, balancing creativity with pragmatism to deliver impact.

What You’ll Do:

As a GenAI/ML Engineer on the FDE team, you will:

Forward Deployed Engineers sit alongside our customers and turn ambiguous business problems into working AI systems.
Partner directly with customers to discover problems and frame high-impact AI use cases.
Design and build end-to-end GenAI/ML systems - RAG pipelines, agentic workflows, evaluation, and guardrails - and ship them to production.
Prototype quickly, iterate with real users, and harden pilots into reliable, monitored services.
Own the technical relationship, translating between business stakeholders and engineering.
Raise the bar for ML depth and engineering quality across the team.

What Success Looks Like:

Production-grade delivery: Your solution builds consistently convert to scaled deployments in production environments
Reusable impact: You author libraries, prompts, and scaffolds that power multiple deployments and projects
Platform influence: Your work shapes internal tooling and is integrated into platform roadmap and primitives
Velocity and precision: You move fast without breaking things - shaping resilient, secure systems in high-stakes contexts
Engineering leadership: You are trusted by architects, PMs, and customer teams to lead implementation from zero to one

Qualifications

What You Bring:

Experience: In leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry
Relevant Experience: 8+ years of software engineering, including 2+ years building systems in customer-facing or embedded roles. Experience building machine learning/ GenAI systems with modern AI/ML technologies, including LLMs, embeddings, vector databases, and RAG architectures.
System architecture: Proven ability to design and implement AI-native software in production environments
Engineering depth: Strength in backend (Python, Node.js, Java), frontend (React, Angular), APIs (REST/GraphQL)
LLM tooling: Familiarity with LangChain, Semantic Kernel, prompt chaining, vector search, and context management
Performance & observability: Skilled in debugging distributed systems, tuning for latency, and implementing monitoring
Platform mindset: Can contribute to shared SDKs and tools, raising engineering velocity for the whole org
Product sensibility: Prioritize for user value, MVP iteration, and long-term scale
DevOps fluency: Experience deploying in AWS, Azure, or GCP with CI/CD, containers, and infra-as-code
Field readiness: Able to travel up to 30% to embed onsite and deliver where it matters

Preferred Qualifications:

Experience integrating AI into SaaS platforms like ServiceNow or Salesforce
Track record of production deployments in secure, regulated enterprise environments
Contributions to dev experience tooling, frameworks, or reusable AI scaffolds

For positions in this location, we offer a base pay of $176,100 - $308,200, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

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Skills

ServiceNow
ML
Leadership
Decision making
Problem solving
Machine learning
Python
Node.js
Oracle Java
React
GraphQL
LangChain
Debugging
DevOps
AWS
Microsoft Azure
Google Cloud
CI/CD
Salesforce
Sales

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