Applied AI Engineer at Anthropic | Enterprise Technology

The Briefed; San Francisco (CA); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Competitive compensation and benefits

Equity donation matching (optional)

Generous vacation and parental leave

Flexible working hours

Collaborative office space

Job summary

The Briefed is seeking an Applied AI Engineer to guide Enterprise customers deploying Claude API in their products. You will work with customer teams to shape architecture, build evaluation pipelines, and drive scalable AI solutions.

Collaborating with Sales, Product, and Engineering, you will manage a focused portfolio from technical discovery to successful deployment, travel to client sites, and share insights through workshops and talks.

Qualifications

• Bachelor's degree or equivalent in a relevant field.
• 4+ years in technical roles such as Forward Deployed Engineer, Product Engineer, Software Engineer, or Technical PM.
• Production experience with LLMs, including prompt engineering, agent development, evaluation, and deployment at scale.
• Strong programming skills in Python or TypeScript.
• Experience correlates with internal job level.

Responsibilities

• Advise customers deploying Claude from discovery through deployment, coordinating across internal teams.
• Partner with account executives to translate business requirements into technical solutions.
• Influence architecture decisions via pilots, prototypes, and evaluation suites.
• Lead hands-on technical workshops and code reviews with customer engineers.
• Identify design patterns and share insights with Product and Engineering teams.
• Create scalable public and internal assets on LLM prompting, evals, agentic systems, and architecture techniques.
• Stay current on LLM capabilities and AI product development stacks.
• Travel occasionally to customer sites for workshops, implementation support, and relationship building.
• Speak at conferences and write blog posts and white papers on AI topics.

Skills

Python or TypeScript

LLM prompt engineering and agent de-?

Education

Bachelor's degree

Job description

As an Applied AI Engineer on Anthropic’s Applied AI team, you will become a trusted technical advisor to Enterprise Technology companies adopting the Claude API in their core products. You will work with customer product and engineering teams as they ship products powered by Claude, advising on architecture, developing evaluation frameworks, and guiding them through cutting‑edge LLM implementation patterns. Working with Sales, Product, and Engineering, you will guide a focused portfolio of customers from technical discovery through successful deployment.

Key Responsibilities

• Advise customers as they deploy new products and workflows with Claude, from discovery through deployment, coordinating across internal teams
• Partner with account executives and Applied AI Architects to translate business requirements into technical solutions
• Influence architecture decisions and product strategy through customized pilots, prototypes, and evaluation suites
• Lead hands‑on technical workshops and code reviews with customer engineering teams
• Identify common design patterns and share insights with Product and Engineering teams
• Create scalable public and internal assets on LLM prompting, evals, agentic systems, and architecture techniques
• Stay current on LLM capabilities, implementation patterns, and AI product development stacks
• Travel occasionally to customer sites for workshops, implementation support, and relationship building
• Speak at conferences and write blog posts and white papers on AI topics

Requirements

• 4+ years in technical roles such as Forward Deployed Engineer, Product Engineer, Software Engineer, or Technical Product Manager (former technical founders are encouraged to apply)
• Production experience with LLMs, including advanced prompt engineering, agent development and frameworks, evaluation frameworks, transcript analysis, MCP, and deployment at scale
• Strong programming skills in Python or TypeScript, with experience building production applications
• Bachelor’s degree or an equivalent combination of education, training, and/or experience in a field relevant to the role
• Years of experience required will correlate with the internal job level for the position

Skills

Technical Skills

• Python or TypeScript
• LLM prompt engineering and agent development
• Evaluation frameworks and transcript analysis
• MCP and large-scale deployment
• Solution architecture and prototyping

Soft Skills

• Exceptional communication with diverse stakeholders
• Cross-organizational collaboration with a low-ego approach
• Navigating ambiguity and finding simple solutions to complex problems
• Passion for safe, beneficial AI

Benefits

• Competitive compensation and benefits
• Optional equity donation matching
• Generous vacation and parental leave
• Flexible working hours
• Collaborative office space