Applied AI Architect at Anthropic (Bangalore, India)

September 11, 2026
Application ends: October 11, 2026
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Job Description

Anthropic is hiring an Applied AI Architect in Bangalore: a senior pre-sales technical adviser who helps large enterprises in India and the Asia-Pacific region understand what Claude can do and takes them from first evaluation to production deployment.

At a glance

  • Role: Applied AI Architect (pre-sales)
  • Where: Bangalore, India (hybrid, in office at least 25% of the time)
  • Experience: 10+ years in technical customer-facing roles
  • Travel: occasional, within India and the Asia-Pacific region
  • Apply: open until filled (re-checked 11 October 2026)

About the applied AI architect role

  • Work with account executives to understand customer needs and turn them into technical solutions that fit business goals
  • Be the main technical adviser to enterprise customers from discovery and evaluation through deployment, coordinating teams inside Anthropic
  • Support customers building with both the Claude API and Claude for Work
  • Create and deliver technical content for every audience, from engineering deep dives to executive conversations about business value
  • Guide architecture decisions and help customers integrate Claude into their existing technology stacks
  • Help customers design evaluation frameworks that measure Claude on their own use cases, and feed common integration patterns back to product and engineering

Applied AI architects sit between customers and Anthropic’s product and engineering teams. The work is technical, covering architecture, integration and evaluation design, but it is equally about helping organisations decide where large language models add real value and how to deploy them responsibly.

What Anthropic is looking for

  • 10+ years in technical customer-facing roles such as solutions architect, sales engineer or technical account manager
  • Experience with enterprise customers in India or the Asia-Pacific region, including complex buying decisions with many stakeholders
  • The ability to explain technical ideas to everyone from C-suite executives to engineering and IT teams
  • Experience designing scalable cloud architectures and integrating with enterprise systems
  • Familiarity with common LLM frameworks and tools, or a background in machine learning or data science
  • A bachelor’s degree or an equivalent mix of education, training and experience

Nice to have

  • A love of teaching and mentoring
  • Comfort working across cultures and time zones in a global team
  • Enthusiasm for using technology in ways that are safe and beneficial

Pay and location

Anthropic’s posting does not list a salary for this Bangalore role. Staff are currently expected to be in one of Anthropic’s offices at least 25% of the time, and some roles require more.

How to apply

Apply through the official Anthropic job posting. Anthropic’s posting does not give a closing date, so the role is open until filled; ResearchJobs.in will re-check this listing on 11 October 2026. Check the posting for location and work-authorisation details before you apply.

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Hiring institution: Anthropic

Official advertisement: job-boards.greenhouse.io

How to prepare for this application

  • Evaluation design: prepare how you would build an evaluation for an enterprise use case such as document extraction, including test sets, metrics and pass criteria.
  • Architecture patterns: be ready to whiteboard retrieval-augmented generation, tool use and agent workflows, plus the security and data-residency questions Indian enterprises ask.
  • Executive storytelling: practise explaining the business case for an LLM deployment in five minutes without jargon.
  • Hands-on credibility: build a small app with the Claude API and read Anthropic's prompt-engineering documentation.
  • Safety: read Anthropic's public writing on responsible AI deployment; interviewers value genuine interest in the mission.

About Anthropic

Anthropic is an AI safety and research company whose mission is to create reliable, interpretable and steerable AI systems. It builds the Claude family of AI models, which developers use through the Claude API and businesses use through Claude for Work. The company describes its research as big science, with one cohesive team working on a few large-scale efforts, and its India team in Bangalore serves customers across India and the wider Asia-Pacific region.