InternFlow

Greenhouse ·

full-time

Applied AI Architect

Anthropic · Mumbai

Anthropic is an AI safety and research company focused on developing reliable, interpretable, and steerable artificial intelligence systems. This Applied AI Architect role functions as a pre-sales technical advisor for the India and Asia-Pacific region, tasked with helping large enterprises integrate Claude into their existing technology stacks. The day-to-day responsibilities involve partnering with account executives to translate complex business requirements into scalable AI architectures, conducting technical deep dives, and guiding clients from initial discovery through successful deployment. You will design evaluation frameworks to measure model performance, support API implementation, and act as a bridge between customer needs and internal product and engineering teams. This position is well-suited for experienced professionals with a background in solutions architecture, sales engineering, or technical account management. The ideal candidate possesses deep technical expertise in cloud architecture and Python, combined with the communication skills necessary to present technical concepts to both engineering teams and C-suite executives. You will need to navigate complex enterprise buying cycles and be comfortable collaborating across global time zones while occasionally traveling for client workshops.

applied aisolutions architectpre-sales engineeringllm integrationenterprise softwarepythontechnical account managementmachine learningcloud architecture

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 an Applied AI team member at Anthropic India, 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'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. You will need to coordinate internally across multiple teams & stakeholders to drive customer success Support customers building with both the Claude API and Claude for Work Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused 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 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 You may be a good fit if you have: 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 to include C-suite executives, engineering & IT teams, and more 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 Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities 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 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 ge

RoleApplied AI Architect
CompanyAnthropic
LocationMumbai
CompensationNot disclosed
Posted2026-09-21
DeadlineRolling

Typical process for this type of role

A general guide — the exact steps for this specific listing may vary; check the original posting for details.

  1. 1ApplicationSubmit your resume through the apply link.
  2. 2ScreeningRecruiter reviews your background against the role.
  3. 3AssessmentA technical test, assignment, or coding round, depending on the role.
  4. 4Interview(s)One or more rounds with the hiring team.
  5. 5OfferOffer letter with compensation and start date.

Before you apply

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Applied AI Architect at Anthropic: frequently asked questions

What is the salary for this role?
Anthropic has not stated compensation in the listing. Check the original posting or ask during the application process.
Is the Applied AI Architect position remote, hybrid or onsite?
The listing gives Mumbai as the location and does not state a work mode.
What is the application deadline?
Anthropic has not listed a fixed deadline, so apply early in case the opening is filled.
How do I apply for the Applied AI Architect role?
Use the Apply button on this page. It opens the original listing on job-boards.greenhouse.io, where you submit your application with the company.

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