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About the Role

As an Applied AI team member, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and how they can successfully integrate and deploy it. You'll combine deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining high standards for safety and reliability. Working closely with Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment, leveraging expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures.

Responsibilities

Partner with account executives across Australia to understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation.
Serve as the primary technical advisor to enterprise customers across Australia throughout their Claude adoption journey, from discovery to initial evaluation through deployment.
Coordinate internally across multiple teams & stakeholders to drive customer success.
Support customers building with both the Claude API and Claude for Work.
Create and deliver compelling technical content tailored to different audiences across Australia, ranging from technical deep dives for engineering & development teams to business value focused conversations with executives.
Guide technical architecture decisions and help customers across Australia integrate Claude effectively into their existing technology stack.
Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases.
Identify common integration patterns and contribute insights back to our Product and Engineering teams.
Travel occasionally to customer sites for workshops, technical deep dives, and relationship building.
Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns.

Requirements

8+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager.
Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders.
Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders including C-suite executives, engineering & IT teams.
Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders.
Experience designing scalable cloud architectures and integrating with enterprise systems.
Comfortable with python.
Familiarity with common LLM frameworks and tools or a background in machine learning or data science.
Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities.
A love of teaching, mentoring, and helping others succeed.
Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders.
Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems.

Skills

LLM
Claude API
Claude for Work
Python
Cloud Architectures
Enterprise Systems Integration
Machine Learning
Data Science

Location

Australia
San Francisco

Work Type

Hybrid

Experience Level

8+ years

Education Level

Bachelor’s degree or equivalent combination of education, training, and/or experience
A field relevant to the role as demonstrated through coursework, training, or professional experience

Benefits

Competitive compensation
Generous vacation
Parental leave
Flexible working hours
Optional equity donation matching

About the Company

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.
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.
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.
Anthropic is a public benefit corporation headquartered in San Francisco.

Equal Opportunity

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.