Applied AI Engineer, Enterprise Tech

Anthropic · San Francisco, CA | New York City, NY | Seattle, WA · Applied AI · listed January 8, 2026

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The shape of it

Seniority

Mid level

Experience asked

4+ years

Where

Hybrid

Stated pay

$200,000 – $320,000 USD

Requirements listed

Length

1,077 words

In the posting’s own words

As a member of the Applied AI team at Anthropic, you will be a technical Product Engineer focused on becoming a trusted technical advisor to Digital Native Businesses - technology companies adopting the Claude API into their core products. You will work closely with customer product and engineering teams as they ship new products powered by Claude: advising on architecture design decisions, developing evaluation frameworks, and guiding customers through the most cutting-edge implementation patterns for LLMs.

What it asks for · 7

4+ years of experience in technical roles such as Forward Deployed Engineer, Software Engineer or Technical Product Manager with a desire to work closely with customers. Former technical founders are also 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 with proficiency in Python or TypeScript and experience building production applications
Ability to navigate ambiguity and execute across domains with intellectual openness, finding simple solutions to complex problems
High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity
Passion for advancing safe, beneficial AI systems through creative technical applications
Exceptional communication skills to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach

What the job covers

Serve as a specialist technical advisor to Anthropic customers as they deploy new products & workflows with our models: from discovery through deployment, coordinating internally across multiple teams to drive customer success
Partner with account executives and solutions architects to translate customer business requirements into technical solutions
Influence technical architecture decisions and customer product strategy by developing customized pilots, prototypes, and evaluation suites
Lead hands-on technical workshops and code reviews with customer engineering teams
Identify common design patterns and contribute insights back to our Product and Engineering teams
Create scalable public and internal assets, documenting the latest LLM prompting, evaling, agentic, and architecture techniques
Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks
Travel occasionally to customer sites for workshops, implementation support, and building relationships
Attend conferences, lead speaking engagements, write blog posts and white papers on topics surrounding the AI space

Tools and skills named

Models & research

LLM4×
Prompt engineering2×

Languages

Python
TypeScript

Product & design

Product management
Product strategy

Go to market

Customer success

Ways of working

Code review

Words the posting leans on

technical12×
customer11×
product11×
engineering6×
llm4×
architecture3×
claude3×
closely3×
deployment3×
development3×
engineer3×
experience3×
skills3×
solutions3×
applications2×
building2×

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