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.
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 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 enterprise 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 enterprise.
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 enterprise 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 May Be a Good Fit If You Have
* 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.
* A background in financial services, healthcare/life sciences, or another enterprise vertical is a plus.
* Experience with enterprise IT systems and/or AI deployment patterns is a plus.
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.
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
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.
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