# Applied AI Architect

**Company**: Anthropic
**Location**: Sydney, Australia
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q116758847

**Apply**: https://job-boards.greenhouse.io/anthropic/jobs/5450798008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_c5a5ef9c-8a1

## Description

## About the Role

As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises across India and the Asia-Pacific region understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack.

You will combine your 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 our Sales, Product, and Engineering teams, you will guide customers from initial technical discovery through successful deployment.

## Responsibilities:

- Partner with account executives to deeply 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 throughout their Claude adoption journey, from discovery to initial evaluation through deployment.

- Support customers building with both the Claude API and Claude for Work.

- Create and deliver compelling technical content tailored to different audiences.

- Guide technical architecture decisions and help customers 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 within India and the APAC region to customer sites for workshops, technical deep dives, and relationship building.

- Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns.

- Collaborate across time zones with global teams while serving as the technical expert for the India market.

## Requirements:

- 10+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager.

- Experience working with enterprise customers in India or the APAC region, navigating complex buying cycles involving multiple stakeholders.

- Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders.

- 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.

- 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.

- Ability to work effectively across cultures and time zones as part of a global team.

## 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.

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

- Visa sponsorship: We do sponsor visas.

## Benefits

- Competitive compensation and benefits.

- Optional equity donation matching.

- Generous vacation and parental leave.

- Flexible working hours.

- Lovely office space.

## Skills

### Required
- Python
- LLM frameworks and tools
- machine learning
- data science
- cloud architectures

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/anthropic/jobs/5450798008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)