Head of Singapore, Applied AI
- Level
- Lead
- Visa
- Sponsors visas
Not stated in the posting: salary, work type.
Open. First seen 4 November 2026.
About the role
Anthropic's standard text
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.
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.
About the role
As the founding leader of Applied AI Solutions Architecture in Singapore, you will drive the adoption of frontier AI by enabling the deployment of Anthropic's products (Claude for Enterprise, Claude Code, and API) across Australian and New Zealand enterprises and digital-first organizations. You'll leverage your technical skills and consultative sales experience to drive positive AI transformation that addresses our customers' business needs, meets their technical requirements, and provides a high degree of reliability and safety.
You'll be responsible for building and leading the Singapore Applied AI team from the ground up. Applied AI comprises Solutions Architects, Product Engineers, and Finetuning Engineers. You will establish processes and best practices for the region's technical pre-sales engagements based on your years of experience, help each team member achieve success, high productivity, and career growth, and represent Anthropic as a technical lead on some of its most important partnerships across Australia and New Zealand.
In collaboration with the Sales, Product, and Engineering teams globally and locally, you'll help enterprise partners across Singapore incorporate leading-edge AI systems into their cutting-edge products and platforms. You will employ your excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike. You will play a critical role in identifying opportunities to innovate and differentiate our AI systems, while maintaining our best-in-class safety standards.
Responsibilities
- Build and manage the foundational team of Applied AI professionals in Singapore (Solutions Architects and Product Engineers) providing both technical guidance and career development
- Set goals and reviews for your team, promoting growth and output
- Work with a handful of highest-value enterprise customers across Australia and New Zealand on their overall AI adoption strategies, focusing on pre-sales technical excellence including use case scoping, technical champion building, and POC execution
- Partner closely with your aligned GTM leadership to understand customer requirements & co-build GTM strategies to drive adoption for Singapore enterprise customers
- Contribute to thought leadership through conference presentations, webinars, and technical content creation within the Singapore market
- Own the technical portions of pre-sales engagements, ensuring your team provides compelling demos and validates enterprise customer ROI from Anthropic products
- Drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organization to drive business outcomes
- Travel regularly to customer sites across Australia and New Zealand for executive-level sessions, technical workshops, and building relationships
- Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products
- Lead the vision, strategy, and execution of innovative solutions that leverage our latest models' capabilities
- Stay current with emerging AI/ML trends and competitive landscape in the Singapore enterprise tech sector, including the region's highly regulated industries (financial services, government, resources)
You may be a good fit if you have
- 15+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role
- 5+ years of technical go-to-market management experience, specifically managing pre-sales teams
- Experience working with Singapore enterprise customers and understanding local business culture, procurement processes, and decision-making dynamics across Australia and New Zealand
- Familiarity with the Singapore regulatory landscape (e.g., Australian Privacy Principles, APRA CPS 234, data sovereignty requirements) and how it impacts enterprise AI deployments
- Experience with the unique technical requirements and technical procurement process of enterprise tech companies
- Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases
- Have an organizational mindset and enjoy building foundational teams in a relatively unstructured environment
- Have excellent communication, collaboration, and coaching abilities
- Are comfortable dealing with highly uncertain, ambiguous, and fast-moving environments typical of the tech industry
- Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams
- Have at least a high level familiarity with the architecture and operation of large language models and/or ML in general
- Experience with prompt engineering, LLM evaluation, and architecting AI-powered systems
- Make ambiguous problems clear and identify core principles that can translate across scenarios
- Have a passion for making powerful technology safe and societally beneficial
- Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks
- Stay up-to-date and informed by taking an active interest in emerging research and industry trends
- Understanding of developer tooling, SDKs, and technical integration patterns common in enterprise tech companies
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.
Anthropic's standard text
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
Anthropic's standard text
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.
What this role asks for
Particular to this role
Prompt Engineering
Rare in Anthropic's other 299 open postings.
66% of this description is written for the role. The rest is Anthropic's standard text, folded away below.
Compared with Anthropic's other open jobs.
The team: Applied AI HIRES STEADILY
This role is one of 63 open in Applied AI. 26 were posted in the last 30 days and the oldest in December: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
LLM (58 of 63), Machine Learning (32 of 63), Python (29 of 63), Prompt Engineering (8 of 63), Generative AI (7 of 63), TypeScript (7 of 63), AWS (6 of 63)
OTHER ROLES ON THIS TEAM
- Manager, Forward Deployed Engineering posted Nov 3
- Applied AI Architect, Beneficial Deployments (Global & Public Health) posted Nov 3
- Applied AI Architect, Public Sector (State & Local Government) posted Nov 3
- Applied AI Architect posted Nov 2
- Technical Deployment Lead posted Nov 2
- Applied AI Security Architect - Healthcare & Life Sciences posted Oct 23
- Applied AI Architect, Public Sector (Federal Civilan) posted Oct 23
- Applied AI Architect, Public Sector (GovTech) posted Oct 23
- Manager, Applied AI Cyber Specialists posted Oct 20
- Applied AI Demo Engineer posted Oct 19
- Applied AI Architect, Cyber Specialist posted Oct 16
- Manager, Applied AI Architects - Digital Natives, EMEA posted Oct 16
- Applied AI Engineer, Startups (Physical AI) posted Oct 15
- Applied AI Engineer, Startups (Life Sciences) posted Oct 15
- Staff Forward Deployed Engineer posted Oct 14
- Applied AI Engineer, Beneficial Deployments (Lab Automation) posted Oct 13
- Manager, Applied AI Architect posted Oct 13
- Applied AI Architect, Partnerships posted Oct 8
- Applied AI Architect posted Oct 8
- Manager of Applied AI Architecture, Startups posted Oct 7
- Applied AI Architect, Beneficial Deployments (Life Sciences Community & Enablement) posted Oct 7
- Manager, Applied AI Architecture, Enterprise Tech posted Oct 7
- Applied AI Engineer, Public Sector posted Oct 7
- Applied AI Engineer, Beneficial Deployments (Clinical Development, Rare and Neglected Diseases) posted Oct 6
- Manager, Applied AI Engineering (Megas) posted Oct 5
- Applied AI Architect, International Policy posted Sep 30
- Applied AI Architects, Partner posted Sep 30
- Field Executive Architect posted Sep 29
- Applied AI Architects, Partner posted Sep 29
- Applied AI Engineer, Beneficial Deployments (Life Sciences) posted Sep 29
- [London] Applied AI Architect, Partnerships posted Sep 28
- Applied AI Architect, Public Sector posted Sep 23
- Applied AI Engineer, Startups posted Sep 23
- Applied AI Architect, Startups posted Sep 23
- Manager, Applied AI Architect posted Sep 22
- Applied AI Architect posted Sep 21
- Applied AI Architect, Partnerships posted Sep 17
- Applied AI Architect, Partnerships posted Sep 15
- Forward Deployed Engineer posted Sep 14
- Applied AI, Research Engineer posted Sep 4
- Manager, Technical Deployment (Financial Services) posted Sep 4
- Applied AI Architect, Startups posted Aug 28
- Applied AI Architect, Strategic Enterprise Tech posted Aug 27
- Applied AI Architect, Industries posted Aug 26
- Manager Applied AI Architecture, Healthcare & Life Sciences posted Aug 21
- Manager of Applied AI Architecture, Commercial posted Aug 20
- Applied AI Architect posted Aug 20
- Applied AI Engineer, Enterprise posted Aug 19
- Applied AI Architect, Industries posted Aug 19
- Technical Deployment Lead posted Aug 19
- Forward Deployed Engineer posted Aug 17
- Applied AI Architect, Industries posted Aug 17
- Manager, Forward Deployed Engineering posted Aug 13
- Applied AI Architect, Enterprise Tech posted Aug 7
- Applied AI Architect, Partnerships posted Jul 7
- Applied AI Architect, Digital Natives Business posted May 21
- Applied AI Architect, Commercial posted Apr 17
- Manager, Forward Deployed Engineering posted Feb 5
- Applied AI Architect posted Jan 23
- Applied AI Engineer, Enterprise posted Jan 8
- Technical Deployment Lead posted Dec 4
- Applied AI Architect, Industries posted Dec 20
From the team and dates on Anthropic's own job board.
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