Anthropic: Applied AI Architect — Mumbai, India

About Anthropic

Anthropic is an AI research and product company. It studies AI safety and alignment and develops the Claude family of language models, offered to individuals, developers and enterprises through chat products and application programming interfaces. The company is based in San Francisco and operates as a public benefit corporation, and its employer feed covers research, engineering and safety-focused roles for this work.

The position and its setting

Anthropic lists Applied AI Architect in Mumbai, India, under reference 5424310008. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Applied AI
• Employer listing date: 21 September 2026

Responsibilities and work described

• 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
• Work: 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
• 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
• 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
• Need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives
• Technical guidance: 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
• Maintenance: knowledge of the latest developments in LLM capabilities and implementation patterns
• Collaboration: across time zones with global teams while serving as the technical expert for the India market

Essential requirements and candidate background

• 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
• We encourage you to apply even if you do not believe you meet every single qualification
• Not all candidates will meet every single qualification as listed
• 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

Location, schedule and contract conditions

• 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
• Advertised location: Mumbai, India

Conditions requiring the complete notice

Some passages contain complex or combined conditions that have not been reduced to short eligibility statements here. Read the complete linked notice for those passages, including any alternatives, exceptions or restrictions. The concise facts above should not be treated as the full wording of every condition.

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Applied AI Architect vacancy is not an offer for reference 5424310008; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Anthropic

Applications follow the official employer page linked below.

Open the official Anthropic posting below and match the title and reference 5424310008.

Compare your qualifications and experience with the essential conditions for the Mumbai, India position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

• APIs
• AI/ML
• LLMs
• Python
• machine learning
• AI
• banking
• sales
• training
• logistics
• stakeholder management