24 days ago

Forward Deployed Engineer, Applied AI

Anthropic

On Site
Full Time
$320,000
New York, NY
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Job Overview

Job TitleForward Deployed Engineer, Applied AI
Job TypeFull Time
Offered Salary$320,000
LocationNew York, NY

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Job Description

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About The Role

As a member of the Applied AI team at Anthropic, you will be a Forward Deployed Engineer (FDE) who embeds directly with our most strategic federal civilian (and, occasionally, state and local) customers to drive transformational AI adoption. You will collaborate closely with customer teams to ship advanced AI applications that solve real world business problems. Our FDEs engage with customers to accelerate the adoption of existing products and create new applications built on our models.

Working closely with our Post-Sales, Product, and Engineering teams, you'll combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to understand customer workflows and develop innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability.

You will sit at the frontier of government AI deployments and serve as one of our founding FDEs who helps to shape our forward-deployed motion. We expect our FDEs to operate autonomously, thrive under ambiguity, and represent Anthropic at the highest level in customer environments. This is a significant responsibility: you’ll play a key role in championing our mission in the field.

Core Responsibilities

  • Work within customer systems to build production applications with Claude models, ensuring that these products meet customer requirements.
  • Deliver technical artifacts for customers like MCP servers, sub-agents, and agent skills that will be used in production workflows.
  • Provide white glove deployment support for Anthropic products in federal government environments.
  • Identify and codify repeatable deployment patterns and contribute insights back to our Product and Engineering teams.
  • Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks.
  • Build long term relationships with customers and proactively identify new opportunities for AI deployment throughout the lifecycle of an engagement.
  • Travel frequently (25-50%) to customer sites to build in person with customers.
  • Be a champion for Anthropic’s mission in the field.

You Might Be a Good Fit If You Have

  • Security clearance not required, but a plus
  • Must have prior experience working with US federal civilian, state, or local agencies
  • 4+ years of experience in a technical, customer facing role such as Forward Deployed Engineer, or as a Software Engineer with consulting experience. Former technical founders are also encouraged to apply.
  • Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale.
  • Strong programming skills with proficiency in Python (and ideally in one or more additional languages like TypeScript, Java, etc) and experience shipping production applications
  • High agency with an ability to navigate ambiguity present in complex organizations.
  • High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity.
  • Passion for advancing safe, beneficial AI systems through creative technical applications.
  • Strong communication skills to conduct discovery with customers and to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach.
  • Experience with government IT systems and/or AI deployment patterns is a plus.

Compensation

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ('OTE') range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary: $280,000—$320,000 USD

Logistics

  • Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
  • Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
  • Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

Key skills/competency

  • Applied AI
  • Forward Deployed Engineer
  • LLM Deployment
  • Customer Facing
  • Python
  • Production Applications
  • AI Safety
  • Government IT Systems
  • Agent Development
  • Prompt Engineering

Tags:

Forward Deployed Engineer
Applied AI
Federal Civilian
AI Engineer
LLM
Python
Customer Facing
AI Deployment
Prompt Engineering
Agent Development
Government
Anthropic

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How to Get Hired at Anthropic

  • Tailor your resume: Highlight your experience with federal agencies, LLM deployment, and Python programming for the Forward Deployed Engineer role at Anthropic.
  • Showcase customer-facing skills: Emphasize your ability to build relationships, conduct discovery, and communicate technical concepts to diverse stakeholders.
  • Demonstrate AI expertise: Detail your experience with prompt engineering, agent development, evaluation frameworks, and deploying AI at scale.
  • Highlight agency and collaboration: Provide examples of navigating ambiguity and working effectively in complex, cross-organizational environments.
  • Prepare for technical interviews: Be ready to discuss your experience building production applications and your understanding of AI safety principles.

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