Anthropic

Anthropic

Posted via Greenhouse

Applied AI Engineer

Posted Sep 29, 2026

Role at a glance

Job function
AI & Data AI Solutions Architecture
Salary
Not Disclosed
Location
Sydney, Australia Sydney, New South Wales, Australia
Work arrangement
Hybrid
Visa support
"We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an...

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Role Summary

AI-generated

This customer-facing technical Product Engineer helps customers adopt Claude and build products and workflows powered by LLMs. The role partners with customer product and engineering teams and coordinates with Anthropic’s Sales, Product, and Engineering teams from technical discovery through deployment.

What You'll Do

  • Advise customers through product discovery and deployment, coordinating internally to support customer success.
  • Understand customer product requirements and architect technical solutions aligned with business objectives.
  • Guide customers on technical architecture and implementation patterns for products and workflows built with LLMs via API.
  • Develop customized pilots, prototypes, and evaluation suites for potential customer deployments.
  • Lead technical workshops and code reviews with customer engineering teams, and share common design patterns with Product and Engineering.
  • Travel occasionally to customer sites for workshops and implementation support, and participate in conferences, speaking engagements,...

Generated from the employer's posting. Verify important details before applying.

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Qualifications

Minimum education is a bachelor’s degree or an equivalent combination of education, training, and/or experience, in a field relevant to the role as demonstrated through coursework, training, or professional experience.

Preferred

  • 8+ years of experience in a technical role such as Customer Engineer, Forward Deployed Engineer, or Software Engineer, with a desire to...
  • Production experience with LLMs, including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale.
  • Strong programming skills, proficiency in Python, and experience building production applications.
  • Expertise with common LLM implementation patterns, prompt engineering, evaluation frameworks, agent frameworks, and retrieval frameworks.
  • Ability to navigate ambiguity, execute across domains with intellectual openness, and find simple solutions to complex problems.
  • A cooperative mindset for cross-organizational collaboration and 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 with a collaborative, low-ego approach.

Original job description

Content provided by the employer

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

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 customers as they adopt Claude. 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 customers from technical discovery through successful deployment. You'll combine deep engineering expertise with customer-facing skills to help customers understand the potential of working with LLMs and build innovative solutions that address complex business challenges while maintaining our high standards for safety and reliability. 

Responsibilities:

  • Serve as a 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 to deeply understand customer product requirements and architect technical solutions, ensuring alignment between business objectives and technical implementation

  • Guide technical architecture decisions and help customers build state-of-the-art products & workflows with LLMs via API

  • Develop customized pilots, prototypes, and evaluation suites that make the case for customer deployment of our models into customer products and workflows via our API

  • 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 

  • 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

You may be a good fit if you have: 

  • 8+ years of experience in a technical roles such as Customer Engineer, Forward Deployed Engineer or Software Engineer with a desire to work closely with customers

  • Production experience with LLMs including advanced prompt engineering, agent development, evaluation frameworks, and deployment at scale

  • Strong programming skills with proficiency in Python and experience building production applications

  • Expertise working with common LLM implementation patterns, prompt engineering, evaluation frameworks, agent frameworks, and retrieval frameworks.

  • 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

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Anthropic

About the company

Anthropic

Startup

Anthropic is an artificial intelligence safety and research company founded in 2020, dedicated to advancing AI technology while prioritizing ethical considerations and safety measures. The organization focuses on developing AI systems that are interpretable, reliable, and aligned with human values. With a team of experts in machine learning, philosophy, and policy, Anthropic aims to address the challenges posed by increasingly sophisticated AI, fostering a responsible approach to technology that can benefit society as a whole.