Applied AI Engineer, Beneficial Deployments
Anthropic
about 1 month ago
New York, NY, USA or San Francisco, CA, USA
Mid Level / Senior
H1B Sponsor
Base Salary
$280k - $300k/yr
Responsibilities
- Partner with account executives to understand requirements from mission-driven organizations and architect technical solutions.
- Serve as the primary technical advisor to deployment partners throughout their Claude adoption journey.
- Design and develop proof-of-concept applications and prototypes for specific use cases.
- Create and deliver technical content for impact-focused audiences through events.
- Build demos showcasing practical integration strategies for societal challenges.
- Guide technical architecture decisions and help partners build advanced systems with LLMs.
- Help organizations develop evaluation frameworks to measure Claude's performance.
- Lead hands-on technical workshops and code reviews with engineering teams.
- Identify common integration patterns and contribute insights to Product and Engineering teams.
- Foster community engagement through technical office hours and impact-focused events.
- Maintain knowledge of the latest developments in LLM capabilities and applications.
Requirements
- 2+ years of experience in technical customer-facing roles.
- Experience working with mission-driven customers like educational institutions and nonprofits.
- Strong programming skills in Python and experience building production applications.
- Expertise in LLM implementation patterns and evaluation frameworks.
- Proven ability to develop technical prototypes and demos for social impact.
- Exceptional relationship-building and communication skills with diverse stakeholders.
- Strong technical communication skills for creating scalable content.
- A passion for using technology to create positive societal impact.
- Excitement for cross-organizational collaboration in a high-velocity environment.
- Creativity in using technology safely and beneficially.
Benefits
- Competitive compensation and benefits.
- Optional equity donation matching.
- Generous vacation and parental leave.
- Flexible working hours.
- Collaborative office space.
Tech Stack
Python
Categories
AI & MLData Science