Anthropic
Applied AI Engineer, Enterprise
$200K–$320K
San Francisco, CA +3 · Full-time · Posted Jan 8, 2026
- Location
- San Francisco, CA
New York City, NY
New York, New York, United States
San Francisco, California, United States - Experience
- 4+ years in technical roles such as Forward Deployed Engineer, Product Engineer, Software Engineer, or Technical Product Manager; former technical founders are also encouraged to apply. Logistics separately states that required years correlate with internal job-level requirements.
- Education
- Bachelor’s degree or an equivalent combination of education, training, and/or experience; a field relevant to the role, as demonstrated through coursework, training, or professional experience.
- Visa sponsorship
- Visa sponsorship is available, but not for every role or candidate; if an offer is made, Anthropic will make every reasonable effort to obtain a visa and provides immigration lawyer support.
About the job
Advises enterprise technology customers on integrating the Claude API into products, from technical discovery and architecture through evaluation and deployment.
What you'll do
- Guide customers through technical discovery, architecture decisions, and deployment, coordinating with internal teams.
- Build pilots, prototypes, and evaluation suites; lead customer workshops and code reviews.
- Document LLM implementation patterns and share customer insights with Product and Engineering.
What they ask for
- Production experience with LLMs, including prompting, agent development, evaluation, transcript analysis, MCP, and scaled deployment.
- Strong programming skills in Python or TypeScript and experience building production applications.
- Ability to collaborate across teams, navigate ambiguity, and communicate technical concepts to varied stakeholders.
Pay
$200,000 — $320,000 USD annual salary (base salary)
Tools
Claude API, LLMs, Python, TypeScript, MCP
AI focus
Supports enterprise adoption of Claude and develops LLM-powered products and workflows, including prompting, agents, evaluations, and deployment, while maintaining safety and reliability.
Model-written summary · the original posting is authoritative