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Applied AI Engineer, Enterprise Tech

Location
San Francisco, CA | New York City, NY | Seattle, WA
Compensation
$200k–$320k/yr
Level
mid
Type
full time · Hybrid

Posted by employer 9 months ago

First seen on Joblaze 5 months ago

Last verified on the company career page 10 hours ago

Requirements

Experience
4+ years
Education
Bachelor's degree
Visa
Sponsorship available

Benefits

401k Match Unlimited PTO Equity/Stock Options Remote Work Flexible Working Hours Health Insurance Parental Leave

Joblaze summary

In the Applied AI Engineer role at Anthropic, the individual will serve as a technical advisor, guiding Digital Native Businesses in integrating the Claude API into their products. Key skills include proficiency in Python or TypeScript, experience with large language models, and the ability to translate complex technical concepts for diverse stakeholders. This position is ideal for candidates with a strong technical background and a collaborative mindset, particularly those with experience in customer-facing roles or as technical founders.

Joblaze insights

  • Listed about 5 months ago — first seen on Joblaze April 14, 2026. Last confirmed on Anthropic's careers page October 8, 2026.
  • Salary band is in line with the typical range for AI/ML roles (median ~$190,000).
  • Starts above 82% of 88 comparable mid ai/ml roles in United States that list AI/ML we track (median $150,000 across 40 companies). See AI/ML salary trends
  • AI/ML appears in 52.3% of 461 comparable mid ai/ml roles in United States; LLMs appears in 1.7% of 461 comparable mid ai/ml roles in United States.

Quick facts

Is the Applied AI Engineer, Enterprise Tech role remote?
It's hybrid — Anthropic expects some on-site time in San Francisco, CA | New York City, NY | Seattle, WA.
What's the salary range?
Anthropic lists $200,000–$320,000 for this role.
How much experience is required?
At least 4 years of relevant experience for this Applied AI Engineer, Enterprise Tech role.
Where is the role based?
Anthropic is hiring for this position in San Francisco, CA | New York City, NY | Seattle, WA.
What's the tech stack?
Joblaze extracted these technologies from the posting: AI/ML, Evaluation Frameworks, LLMs, Python, TypeScript, agent development.
Does Anthropic sponsor work visas for this role?
Yes — the posting indicates visa sponsorship is available for the right candidate.
What seniority level is this role?
Anthropic targets mid-level candidates for this position.
Is this full-time or contract?
Full-time for this Applied AI Engineer, Enterprise Tech role at Anthropic.

From the original posting

About Anthropic

About the role:
As a member of the Applied AI team at Anthropic, you will be an Applied AI Engineer focused on becoming a trusted technical advisor to Enterprise 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.

Working closely with our Sales, Product, and Engineering teams, you'll guide a focused portfolio of customers from technical discovery through successful deployment. You'll combine deep engineering expertise with customer-facing skills to help customers unlock the full potential of the Claude API and move their products closer to the frontier, while maintaining our high standards for safety and reliability.

Responsibilities:

  • 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 Applied AI 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, eval, 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, and write blog posts and white papers on topics surrounding the AI space

You may be a good fit if you have:

  • 4+ years of experience in technical roles such as Forward Deployed Engineer, Product 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

Please note this role requires 3 days in office per week.

Deadline to apply: None. Applications will be reviewed on a rolling basis.

The annual compensation range for this role is listed below.

Annual Salary:
$200,000—$320,000 USD

Logistics

Standard company text repeated across Anthropic's postings is omitted here.

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