
About Anthropic
Building safe and reliable AI systems for everyone
Key Highlights
- Headquartered in SoMa, San Francisco, CA
- Raised $29.3 billion in funding, including $13 billion Series F
- Over 1,000 employees focused on AI safety and research
- Launched Claude, an AI chat assistant rivaling ChatGPT
Anthropic, headquartered in SoMa, San Francisco, is an AI safety and research company focused on developing reliable, interpretable, and steerable AI systems. With over 1,000 employees and backed by Google, Anthropic has raised $29.3 billion in funding, including a monumental Series F round of $13 b...
🎁 Benefits
Anthropic offers comprehensive health, dental, and vision insurance for employees and their dependents, along with inclusive fertility benefits via Ca...
🌟 Culture
Anthropic's culture is rooted in AI safety and reliability, with a focus on producing less harmful outputs compared to existing AI systems. The compan...
Skills & Technologies
Overview
Anthropic is hiring a Forward Deployed Engineer to drive transformational AI adoption by collaborating with strategic customers. You'll work on advanced AI applications and require expertise in AI and machine learning.
Job Description
Who you are
You are a skilled engineer with a strong background in AI applications — you thrive in customer-facing roles and have a knack for understanding complex business challenges. Your experience in deploying AI solutions has equipped you with the ability to work autonomously and navigate ambiguity effectively. You are passionate about creating reliable and interpretable AI systems that benefit users and society. You possess excellent communication skills, enabling you to represent Anthropic at the highest level in customer environments.
What you'll do
As a Forward Deployed Engineer at Anthropic, you will embed directly with our most strategic customers to accelerate the adoption of AI technologies. You will collaborate closely with customer teams to build production applications that solve real-world business problems. Your role will involve engaging with customers to understand their workflows and develop innovative solutions that align with our high standards for safety and reliability. You will work alongside our Post-Sales, Product, and Engineering teams to ship advanced AI applications, ensuring that our mission of creating beneficial AI systems is championed in enterprise settings.
What we offer
At Anthropic, we provide competitive compensation and benefits, including generous vacation and parental leave. You will have the opportunity to work flexible hours in a collaborative office environment. As a member of a quickly growing team, you will play a key role in shaping the future of AI deployment in enterprise settings.
Interested in this role?
Apply now or save it for later. Get alerts for similar jobs at Anthropic.
Similar Jobs You Might Like
Based on your interests and this role

Ai Engineer
Google is hiring a Forward Deployed Engineer in Applied AI to work on machine learning infrastructure and customer solutions. You'll utilize skills in ML, data processing, and AI technologies. This position requires 2 years of software development experience.

Ai Engineer
Anthropic is hiring a Forward Deployed Engineer in Applied AI to drive AI adoption with federal clients. You'll leverage your engineering expertise and customer-facing skills to develop innovative AI applications. This role requires experience in AI and machine learning.

Forward Deployed Engineer
OpenAI is hiring a Forward Deployed Engineer to lead complex deployments of frontier models in production. You'll partner with customers and work closely with various teams to ensure successful adoption and impact. This role requires bilingual proficiency in Japanese and English.

Ai Engineer

Director Of Forward Deployed Ai Engineering
Traba is hiring a Director of Forward Deployed AI Engineering to build AI systems for the industrial supply chain. You'll leverage machine learning and computer vision to enhance productivity and partner with C-suite executives. This role requires experience in deploying AI solutions in manufacturing or logistics.