Remote jobs in the United States

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Added 8 hours ago
Founding AI Platform Engineer
Zipdev
Remote, United States
Our client is looking for a Senior AI Platform Engineer to build and own the core platform powering its enterprise AI products. While forward-deployed engineers focus on developing custom…
Added 13 hours ago
A
Senior Forward Deployed Engineer, AI Security
AHEAD
Remote, United States
- $170,000 to $200,000 USD / year
The Senior Technical Consultant (Forward Deployed Engineer) for AI Security is a senior, customer-facing technical engineer responsible for deploying, integrating, and operationalizing AI…
Added 1 day ago
Forward Deployed Engineer, Applied AI
Snowplow
Remote, United States
You are the first Forward Deployed Engineer on the team, reporting to the Senior Director of Applied AI. The team is also hiring a principal engineer to own the platform and an Applied AI…
Added 2 days ago
Forward Deployed Engineer
True Talent Solutions Partners
Remote, United States
- Five to eight years of experience in forward deployed engineering, applied AI, technical consulting, or a similar hands-on delivery role.
Added 3 days ago
C
Founding Forward Deployed Engineer
Clera
Remote, United States
- $180,000 to $250,000 USD / year
- At least 3 years of experience in a technical customer-facing role, such as forward deployed engineering, solutions engineering, or software engineering with substantial customer…
Added 4 days ago
CU
Part-Time Online Course Facilitator: AI/ML Technology and Architecture
Cornell University
Remote, United States
- Part-time
Applied machine learning, from data preparation and feature engineering through training, evaluating, and improving common models such as regression, decision trees, and ensembles.
Added 4 days ago
Forward Deployed Solution Engineer – Applied AI FDE
ServiceNow
Remote, United States
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…
Added 4 days ago
Lead Forward Deployed Engineer (FDE)
Bounteous
Remote, United States
The Lead Forward Deployed Engineer (FDE) is the senior technical anchor for Bounteous client engagements built on Claude. You embed with client teams, find the workflows where agents change…
Added 4 days ago
MC
Applied Forward Deployed Engineer (Post-Sales)
Monte Carlo
Remote, United States
- $140,000 to $180,000 USD / year
We're hiring an Applied Forward Deployed Engineer (Post-Sales) to own the technical side of every new customer from the moment the deal closes until they're live and getting value. You'll…
Added 4 days ago
GL
Engineer II - Forward Deployed Engineer
GlaxoSmithKline LLC
Remote, United States
- $131,175 to $218,625 USD / year
Ship first production versions on engagements where the path is clear and complexity is bounded, before handing forward to the Solutions Engineer.
Added 6 days ago
Enterprise Customer Success Manager
IMPLAN Group LLC
Remote, United States
…each customer does. In practice, the role works much like a forward deployed engineer. The CSM works inside the customer's process, not just next to it: setting up first projects alongside…
Added 7 days ago
Forward Deployed Engineer
Red Cell Partners
Remote, United States
Prior experience as a full-stack or backend software engineer, forward deployed engineer, solutions engineer, product engineer, platform engineer,, or founding/startup engineer.
Added 7 days ago
R
Applications Engineers, Agentic Workflows
Rescale
Remote, United States
- $156,000 to $180,000 USD / year
- Operate as a builder first, with the ability to be forward-deployed on critical engagements when needed
Added 8 days ago
Forward Deployed Engineer
Accellor
Remote, United States
We are looking for Forward Deployed Engineer to advance how software is designed, built, tested, and delivered using frontier AI models and coding agents.
Added 8 days ago
Staff Forward Deployed Engineer, Platform
eSimplicity
Remote, United States
We’re seeking a Staff Forward Deployed Engineer, Platform to join eSimplicity’s Rapid Innovation Center (the RIC). The Staff Forward Deployed Engineer, Platform works primarily with…
Added 13 days ago
Senior Forward Deployed AI Engineer (GenAI, AWS)
Provectus
Remote, United States
…the function from first principles alongside the client and a Forward Deployed Executive - and you are the one who builds…
Added 13 days ago
R
AI Field Engineer - Enterprise
Raydar
Remote, United States
- $176,000 to $224,000 USD / year
Three or more years in client-facing AI or ML roles such as solutions architect, forward-deployed engineer, applied AI engineer or sales engineer.
Added 15 days ago
Forward Deployed Engineer (FDE) : North America
forgd, inc.
Remote, United States
- 3–5 years in a customer-facing technical role - Solutions Architect, Sales Engineer, Forward Deployed Engineer, Technical Consultant - or in a hands-on engineering role as a Software…
Added 15 days ago
Applied AI Architect : North America
forgd, inc.
Remote, United States
- Engineer, Forward Deployed Engineer, Technical Consultant - or in a hands-on
Added 15 days ago
Forward Deployed Engineer/Customer-Facing Software Engineer
Continuum Resource Network
Remote, United States
Previous Forward Deployed Engineer experience is not required for every opportunity. Strong backend, full-stack, or product engineers who enjoy customer interaction, ambiguity, and…
Added 15 days ago
Forward Deployed Engineer/Customer-Facing Software Engineer
Continuum Resource Network
Remote, United States
Previous Forward Deployed Engineer experience is not required for every opportunity. Strong backend, full-stack, or product engineers who enjoy customer interaction, ambiguity, and…
Added 19 days ago
B
Sr. Director, GTM Operations
Backstory
Remote, United States
- $225,000 to $280,000 USD / year
Applied AI. Deep understanding of the AI tooling landscape and the ability to make informed tooling decisions and understand where Backstory fits. You have deployed LLMs and AI tools in…
Added 19 days ago
Senior Technical Recruiter
Praxent
Remote, United States
…standard for how this team reaches the market. The roles are forward deployed and applied AI engineers, technical directors, and delivery leaders, hired for aour practices that are growing…
Added 19 days ago
AI Deployment Strategist
Fundamental
Remote, United States
…better prediction changes the P&L, turn them into use cases an engineer can build, define how value will be measured before the first model is trained, and make sure the finished model gets…
Added 21 days ago
R
Staff Forward Deployed Engineer - Applied AI
Rula
Remote, United States
- $192,000 to $240,000 USD / year
- Forward-Deployed Experience: Direct prior experience being forward-deployed to non-engineering business teams or external customer organizations.

Accellor

Forward Deployed Engineer

Remote, United States

Apply on jobs.gem.com About employer

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Job details

Experience: 0–4 years of relevant experience in software engineering, AI engineering, or applied AI development.
Posting language: English
Posted: Nov 2, 2026

Original job description

Accellor is an AI-native services firm focused on delivering measurable business outcomes through advanced AI, data, and engineering capabilities. We help global innovators and Fortune 100 enterprises modernize their architectures, scale operations, and operationalize intelligence across the enterprise.

Our core focus centers on transforming advanced AI from proofs-of-concept into production-grade systems. Spanning AI solutions, robust data services, enterprise applications, and product engineering - we tailor our offerings to the distinct operational needs of industries such as healthcare, life sciences, telecom, retail, financial services, and technology.

Operating as an extension of our clients' teams, we combine design thinking with technology-agnostic architectures to ensure faster time-to-value and seamless system interoperability. From initial strategy to full-scale deployment, we build intelligent, connected ecosystems that drive sustained enterprise value and redefine the future of transformation. Role Summary

:

We are looking for Forward Deployed Engineer to advance how software is designed, built, tested, and delivered using frontier AI models and coding agents. You will work with models from OpenAI, Anthropic Claude, and other providers, alongside AI development environments such as Cursor. You will combine strong software engineering fundamentals with prompt engineering and agent orchestration to improve development productivity, software quality, and cost efficiency. This role is suited to engineers who enjoy building working software, evaluating new approaches, and turning successful experiments into reliable engineering practices. Recent graduates with strong projects and demonstrable skills are encouraged to apply.

Key Responsibilities

:

Build and Deliver Software:

Develop features, resolve defects, refactor applications, and create automated tests using AI-assisted development tools. Use Cursor and other coding environments effectively for repository exploration, implementation, debugging, testing, and code review. Translate product requirements into well-defined engineering tasks, technical approaches, and acceptance criteria. Take ownership of code quality and delivery readiness, including changes produced by AI models or agents. Collaborate with product, engineering, and quality teams to deliver reliable software releases.

Develop and Evaluate Prompts:

Design and maintain effective prompts, repository instructions, context strategies, and reusable workflows for software engineering tasks. Provide models with the relevant architecture, dependencies, coding standards, constraints, and expected outcomes. Establish repeatable evaluations to assess correctness, consistency, requirement coverage, and the need for human intervention. Improve prompts and workflows using evidence from test results, code reviews, and delivery outcomes.

Orchestrate Coding Agents:

Build coordinated groups of coding agents to support planning, implementation, testing, review, and documentation. Design reliable task delegation, handover, takeover, and recovery workflows with clear ownership and shared task state. Manage parallel execution, task dependencies, isolated workspaces, and integration conflicts. Define appropriate tool access, execution boundaries, and human review checkpoints. Ensure agent-produced changes can be traced, reviewed, tested, and integrated into the codebase.

Improve Engineering Efficiency:

Select models and tools based on task requirements, quality, latency, and cost. Optimize context size, token consumption, model routing, retries, and agent execution overhead. Establish baselines and measure improvements in development throughput, delivery time, review effort, and AI expenditure. Maintain clear reporting on weekly and monthly delivery trends, including pull requests raised and merged. Share validated practices and reusable tools that improve the effectiveness of the wider engineering team

Minimum Qualifications:

0–4 years of relevant experience in software engineering, AI engineering, or applied AI development. Academic, personal, and open-source projects will also be considered. Proficiency in at least one programming language, such as Python, TypeScript/JavaScript, Java, Go, or C#. Hands-on experience applying frontier models, including OpenAI models or Anthropic Claude, to software development. Practical experience with Cursor or comparable AI coding environments. Strong prompt engineering skills, including task decomposition, context preparation, structured outputs, and iterative evaluation. Working knowledge of Git, pull requests, debugging, automated testing, APIs, and CI/CD. Ability to understand existing codebases and independently assess the correctness of AI-generated code. Clear communication, collaborative working habits, and ownership of engineering outcomes.

Preferred Qualifications:

Experience developing workflows with multiple coding agents, including delegation, handover, and integration. Familiarity with model APIs, tool calling, Model Context Protocol (MCP), and agent orchestration frameworks. Experience evaluating prompts and models using defined datasets, acceptance criteria, and automated checks. Experience monitoring AI usage, engineering productivity, and cost efficiency. Exposure to cloud platforms, containers, deployment automation, and application observability. A portfolio of working software demonstrating effective use of AI tools, supported by tests and technical documentation. Performance and Impact

:

Success in this role is demonstrated through sustained contributions to software delivery, engineering quality, and team effectiveness. Performance expectations will reflect the scope, complexity, and level of ownership associated with the role. Delivery and execution -

Expected Contribution:

Deliver meaningful, well-scoped changes with predictable execution and clear ownership.

Representative Indicators:

Weekly and monthly PR submissions and merges; task completion; time to review-ready code; PR cycle time. Engineering excellence -

Expected Contribution:

Produce maintainable, secure, and reliable software that meets product and technical requirements.

Representative Indicators:

Acceptance-criteria completion; automated verification results; review rework; escaped defects; release stability.

AI workflow effectiveness - Expected Contribution:

Develop prompts and workflows that consistently produce useful, verifiable engineering results.

Representative Indicators:

Evaluation success rates; output consistency; first-pass acceptance; human correction and intervention required.

Cost and resource efficiency - Expected Contribution:

Improve the economics of AI-assisted development while maintaining delivery and quality standards.

Representative Indicators:

AI cost per accepted task or merged PR; token consumption; retry overhead; improvement against established baselines.

Agent orchestration - Expected Contribution:

Coordinate coding agents effectively across task execution, handovers, and integration.

Representative Indicators:

Successful task completion and handovers; recovery effectiveness; integration conflicts; manual intervention.

Team contribution - Expected Contribution:

Extend individual impact through reusable tools, clear documentation, and effective collaboration.

Representative Indicators:

Adoption of shared workflows; reuse of validated prompts and tools; improvements in team delivery outcomes. These indicators support a broader assessment of engineering impact. Pull request volume is considered in the context of complexity, business value, collaboration, and software quality.

What you will bring:

Strong technical curiosity, thoughtful judgment, and a commitment to building dependable software. You will be comfortable experimenting with emerging tools, validating their results, and taking responsibility for the code and systems you help deliver.

Pay Transparency:

At Accellor, we believe in equitable compensation. The base salary for this position is $90,000 to $130,000 and there may be an annual bonus. The actual pay will depend on your skills, experience, and qualifications. The salary range is subject to change. Speak with your recruiter about any questions.

Benefits:

We strive to offer benefits that support the diverse needs of our employees. Our package includes perks like flexible and discretionary time off, healthcare coverage for you and your loved ones, and a retirement savings plan to help you plan for the future. Additionally, we offer access to flexible spending and health savings accounts, life and AD&D insurance, and opportunities for professional development. Accellor is proud to be an equal-opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristics.

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Remote jobs in the United States