Anthropic

1 week ago

Data Center Architect, CSA

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 16 hours agoStatus: Live

Job Summary

Own civil, structural, and architectural reference design standards for Anthropic’s AI data center portfolio. Lead site feasibility studies and front-end test fits, evaluate structural approaches and code compliance, and review CSA deliverables across design stages. Coordinate CSA work with MEP and IT infrastructure teams to support high-density AI compute and direct liquid-cooling. Provide technical oversight during construction, resolve field issues, and help standardize designs across multiple sites worldwide.

Location: United States

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Own civil, structural, and architectural reference design standards for Anthropic’s data center portfolio and establish repeatable design elements.
•Lead front-end test fits and site feasibility studies to evaluate structural approaches, site constraints, utility interfaces, and code compliance.
•Review and approve CSA deliverables from design-build partners and AE firms across SD/DD/CD/IFC stages, including drawings and calculations.
•Integrate CSA designs with mechanical, electrical, plumbing, fire protection, and IT teams to support high-density AI compute and direct liquid-cooling systems.
•Provide technical oversight during construction and commissioning, resolving field issues and supporting standardization across concurrent projects globally.

Travel: High travel

Pay and Benefits

Salary: USD 320,000 - 405,000 annually

Perks:Paid LeaveParental Leave

Key Requirements

•10+ years delivering mission-critical facility infrastructure, including at least 6 years in hyperscale or large-scale data center CSA design.
•Deep expertise in civil site development, structural design, and architectural programming for industrial or mission-critical facilities.
•Experience as an owner’s engineer or lead technical authority setting standards, approving deliverables, and directing external design teams.
•Proficiency with building codes/standards including IBC, IFC, ASCE 7, ACI 318, AISC, FM Global, and local jurisdiction requirements across geographies.
•Experience with high-density compute environments, including accommodating direct liquid-cooling systems, overhead busway, and dense rack deployments.

Experience:Data centersHyperscaleMission-critical facilities

Education:Bachelor's

Skills:Clear communicationDesign decision-makingStakeholder coordinationProblem preventionDriving standardization

Licenses:Licensed Professional Engineer (PE)Licensed architect (AIA / RA)

Certifications:LEEDUptime Institute AOS/M&O

Languages:English

Tech Stack:IBCIFCASCE 7ACI 318AISCFM GlobalDirect liquid-coolingOverhead buswayAutodesk Construction CloudRevitNavisworks

Eligibility

Work Authorization:Sponsorship available.

Company Brief

Anthropic

Develops large-scale AI systems and safety research to create reliable, steerable, and interpretable AI assistants and models for commercial and research applications.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series C

Headquarters: San Francisco, United States

Founded: 2021

Website LinkedIn

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Anthropic

1 week ago

Data Center Architect, CSA

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 16 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Own civil, structural, and architectural reference design standards for Anthropic’s data center portfolio and establish repeatable design elements.
•Lead front-end test fits and site feasibility studies to evaluate structural approaches, site constraints, utility interfaces, and code compliance.
•Review and approve CSA deliverables from design-build partners and AE firms across SD/DD/CD/IFC stages, including drawings and calculations.
•Integrate CSA designs with mechanical, electrical, plumbing, fire protection, and IT teams to support high-density AI compute and direct liquid-cooling systems.
•Provide technical oversight during construction and commissioning, resolving field issues and supporting standardization across concurrent projects globally.

Travel: High travel

Pay and Benefits

Salary: USD 320,000 - 405,000 annually

Perks:Paid LeaveParental Leave

Key Requirements

•10+ years delivering mission-critical facility infrastructure, including at least 6 years in hyperscale or large-scale data center CSA design.
•Deep expertise in civil site development, structural design, and architectural programming for industrial or mission-critical facilities.
•Experience as an owner’s engineer or lead technical authority setting standards, approving deliverables, and directing external design teams.
•Proficiency with building codes/standards including IBC, IFC, ASCE 7, ACI 318, AISC, FM Global, and local jurisdiction requirements across geographies.
•Experience with high-density compute environments, including accommodating direct liquid-cooling systems, overhead busway, and dense rack deployments.

Experience:Data centersHyperscaleMission-critical facilities

Education:Bachelor's

Skills:Clear communicationDesign decision-makingStakeholder coordinationProblem preventionDriving standardization

Licenses:Licensed Professional Engineer (PE)Licensed architect (AIA / RA)

Certifications:LEEDUptime Institute AOS/M&O

Languages:English

Tech Stack:IBCIFCASCE 7ACI 318AISCFM GlobalDirect liquid-coolingOverhead buswayAutodesk Construction CloudRevitNavisworks

Eligibility

Work Authorization:Sponsorship available.

Company Brief

Anthropic

Develops large-scale AI systems and safety research to create reliable, steerable, and interpretable AI assistants and models for commercial and research applications.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series C

Headquarters: San Francisco, United States

Founded: 2021

Website LinkedIn