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 understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer‑facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.
Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.
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, from technical deep dives for engineering teams to business‑value conversations with executives.
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.
Occasionally travel to customer sites for workshops, technical deep dives, and relationship building.
Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns.
Qualifications
5+ years of experience in technical customer‑facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager.
Native or C1 German and French speaker with fluent English proficiency.
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 and 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.
Passion for thinking creatively about how to use technology in a safe and beneficial way, advancing safe AI systems.
Logistics
Minimum education: Bachelor’s degree or equivalent combination of education, training, and/or experience.
Required field of study: Relevant to the role as demonstrated through coursework, training, or professional experience.
Minimum years of experience: Correlates with the internal job level requirements for the position.
Location‑based hybrid policy: All staff are expected to be in one of our offices at least 25% of the time.
Visa sponsorship: Anthropic sponsors visas and will make reasonable efforts to secure sponsorship if an offer is made.
Benefits
Competitive compensation and benefits package.
Optional equity donation matching.
Generous vacation and parental leave.
Flexible working hours.
Collaboration-friendly office space in San Francisco.
Anthropic is a public benefit corporation headquartered in San Francisco. We are an equal‑opportunity employer and embrace diversity in all its forms. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, disability, or any other protected characteristic.
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Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.
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, from technical deep dives for engineering teams to business‑value conversations with executives.
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.
Occasionally travel to customer sites for workshops, technical deep dives, and relationship building.
Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns.
Qualifications
5+ years of experience in technical customer‑facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager.
Native or C1 German and French speaker with fluent English proficiency.
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 and 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.
Passion for thinking creatively about how to use technology in a safe and beneficial way, advancing safe AI systems.
Logistics
Minimum education: Bachelor’s degree or equivalent combination of education, training, and/or experience.
Required field of study: Relevant to the role as demonstrated through coursework, training, or professional experience.
Minimum years of experience: Correlates with the internal job level requirements for the position.
Location‑based hybrid policy: All staff are expected to be in one of our offices at least 25% of the time.
Visa sponsorship: Anthropic sponsors visas and will make reasonable efforts to secure sponsorship if an offer is made.
Benefits
Competitive compensation and benefits package.
Optional equity donation matching.
Generous vacation and parental leave.
Flexible working hours.
Collaboration-friendly office space in San Francisco.
Anthropic is a public benefit corporation headquartered in San Francisco. We are an equal‑opportunity employer and embrace diversity in all its forms. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, disability, or any other protected characteristic.
#J-18808-Ljbffr
Applied AI Architect, Industries Arbeitgeber: Anthropic
Anthropic ist ein hervorragender Arbeitgeber, der seinen Mitarbeitern die Möglichkeit bietet, in einem dynamischen und innovativen Umfeld zu arbeiten. Mit einem starken Fokus auf Zusammenarbeit und persönlichem Wachstum fördert das Unternehmen eine Kultur, die Kreativität und technische Exzellenz schätzt. Die Mitarbeiter profitieren von flexiblen Arbeitszeiten, großzügigen Urlaubsregelungen und der Chance, an der Spitze der KI-Technologie zu arbeiten, während sie gleichzeitig einen positiven Einfluss auf die Gesellschaft ausüben.
