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About the Role
As a Forward Deployed Engineer (FDE) on the Applied AI team, you will embed directly with strategic customers to drive AI adoption. You will collaborate with customer teams to ship advanced AI applications that solve real-world business problems, accelerating the adoption of existing products and creating new applications built on our models. You will combine engineering expertise, an understanding of frontier AI applications, and customer-facing skills to develop innovative solutions while maintaining high standards for safety and reliability. This role sits at the frontier of enterprise AI deployments and helps shape our forward-deployed motion, requiring autonomous operation, thriving under ambiguity, and representing Anthropic at the highest level.
Responsibilities
- Work within customer systems to build production applications with Claude models, ensuring products meet customer requirements.
- Deliver technical artifacts for customers like MCP servers, sub-agents, and agent skills for production workflows.
- Provide white glove deployment support for Anthropic products in enterprise environments.
- Identify and codify repeatable deployment patterns and contribute insights back to 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 engagement lifecycle.
- Travel frequently (25-50%) to customer sites for in-person collaboration.
- Act as a champion for Anthropic’s mission in the field.
Requirements
- 4+ years of experience in a technical, customer-facing role (e.g., Forward Deployed Engineer, Software Engineer with consulting/product experience).
- Production experience with LLMs, including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale.
- Strong programming skills with proficiency in Python and experience shipping production applications.
- High agency with the ability to navigate ambiguity 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 convey technical concepts to diverse stakeholders with 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.
Skills
- Python
- TypeScript
- Java
- LLM capabilities
- Implementation patterns
- AI product development stacks
- Prompt engineering
- Agent development
- Evaluation frameworks
- Deployment at scale
- Enterprise IT systems
- AI deployment patterns
Location
- San Francisco
Work Type
- Hybrid
Experience Level
- 4+ years
Education Level
- Bachelor’s degree or equivalent combination of education, training, and/or experience
Salary/Compensations
- £225,000—£255,000 GBP
Benefits
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
- Visa sponsorship
About the Company
- Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society.
- The team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders.
- Anthropic is a public benefit corporation headquartered in San Francisco.
- The company believes that high-impact AI research is big science, working as a single cohesive team on large-scale research efforts.
- Anthropic values impact—advancing long-term goals of steerable, trustworthy AI—rather than smaller, specific puzzles.
- AI research is viewed as an empirical science with similarities to physics and biology.
- The company is a collaborative group that hosts frequent research discussions to pursue high-impact work.
- Recent research directions include GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Equal Opportunity
- We encourage you to apply even if you do not believe you meet every single qualification.
- Not all strong candidates will meet every single qualification.
- Representation is important, and the company strives to include a range of diverse perspectives.
- The company thinks AI systems have enormous social and ethical implications, making representation even more important.