STEM OPT AI Architect Jobs
AI Architect roles qualify for the 24-month STEM OPT extension when your degree falls under an eligible CIP code in computer science, engineering, or a related STEM field. Your employer must be enrolled in E-Verify, and you'll need a signed I-983 training plan before your extension starts.
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Get Access To All JobsAbout 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, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping customers 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 technical depth with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.
As a Commercial Solutions Architect, you'll go deep with priority accounts as a hands-on builder, while creating reusable blueprints, demos, and enablement that extend Claude's reach across the broader Commercial book of business.
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 customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams and stakeholders to drive customer success
- Support customers building with the Claude API, Claude Code, and Claude for Enterprise
- Ship working code. Build prototypes and proof-of-concepts hands-on, develop eval frameworks, and write near-production examples that customers can extend
- Build reusable blueprints, demos, and enablement assets that scale across customers
- 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 to customer sites for workshops, technical deep dives, and relationship building
- Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns
You may be a good fit if you have:
- 3+ years of highly technical experience as a software engineer (or equivalent) with some customer-facing exposure, OR 3+ years as a Solutions Architect, Sales Engineer, or Technical Account Manager with strong hands-on building experience
- A builder identity. You've shipped real software, you have technical taste, and you care about the craft of what you build
- A systems mindset. When you see a problem, your instinct is to ask "how do I make this reusable." You'd rather build one thing that serves ten customers than ten things that serve one each
- Strong coding ability. You ship prototypes regularly and can work in a real codebase, not just notebooks. Comfort with Python expected
- Strong ability to build trust with technical stakeholders and adjust your communication for varied audiences
- 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
- Familiarity with common LLM frameworks and tools, or a background in machine learning or data science
- Comfort operating in early-stage, ambiguous environments where the playbook doesn't exist yet, and a track record of building structure as you go
- 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 way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$240,000 - $315,000 USD
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 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 strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. 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.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. 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.
Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
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, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping customers 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 technical depth with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.
As a Commercial Solutions Architect, you'll go deep with priority accounts as a hands-on builder, while creating reusable blueprints, demos, and enablement that extend Claude's reach across the broader Commercial book of business.
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 customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams and stakeholders to drive customer success
- Support customers building with the Claude API, Claude Code, and Claude for Enterprise
- Ship working code. Build prototypes and proof-of-concepts hands-on, develop eval frameworks, and write near-production examples that customers can extend
- Build reusable blueprints, demos, and enablement assets that scale across customers
- 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 to customer sites for workshops, technical deep dives, and relationship building
- Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns
You may be a good fit if you have:
- 3+ years of highly technical experience as a software engineer (or equivalent) with some customer-facing exposure, OR 3+ years as a Solutions Architect, Sales Engineer, or Technical Account Manager with strong hands-on building experience
- A builder identity. You've shipped real software, you have technical taste, and you care about the craft of what you build
- A systems mindset. When you see a problem, your instinct is to ask "how do I make this reusable." You'd rather build one thing that serves ten customers than ten things that serve one each
- Strong coding ability. You ship prototypes regularly and can work in a real codebase, not just notebooks. Comfort with Python expected
- Strong ability to build trust with technical stakeholders and adjust your communication for varied audiences
- 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
- Familiarity with common LLM frameworks and tools, or a background in machine learning or data science
- Comfort operating in early-stage, ambiguous environments where the playbook doesn't exist yet, and a track record of building structure as you go
- 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 way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$240,000 - $315,000 USD
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 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 strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. 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.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. 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.
Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
See all 176+ AI Architect jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Architect roles.
Get Access To All JobsTips for Finding STEM OPT Authorization in AI Architect
Verify your CIP code before applying
Check that your degree's Classification of Instructional Programs code appears on the USCIS STEM OPT designated degree list. Computer science, computer engineering, and information systems codes typically qualify, but interdisciplinary degrees sometimes require a closer look with your DSO.
Confirm E-Verify enrollment before accepting offers
Ask the recruiter for their E-Verify company ID or look up the employer in the E-Verify database before signing an offer. A company that isn't enrolled can't legally employ you on a STEM OPT extension, no matter how enthusiastic they are.
Build an I-983 training plan that maps to the role
AI Architect roles should document specific learning objectives tied to systems design, model deployment, and infrastructure architecture. Vague training plans draw scrutiny from USCIS during audits, so get your hiring manager to sign off on concrete technical milestones.
Target employers with active H-1B filing history
Use Migrate Mate to filter AI Architect roles by employers who have filed H-1B LCAs, giving you a concrete signal that a company has already built the infrastructure to sponsor and transition STEM workers beyond OPT.
Use O*NET to align your job duties with STEM OPT requirements
The O*NET profile for AI Architect roles lists the core tasks and knowledge areas tied to the occupation. Referencing these in your I-983 strengthens the connection between your work authorization, your STEM degree, and the employer's training obligations.
File your extension request at least 90 days before OPT expires
USCIS requires your STEM OPT extension application to be received before your initial OPT EAD expires. Submit your I-765 and supporting documents through your DSO well in advance to avoid a gap that would disqualify you from working.
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Find AI Architect JobsFrequently Asked Questions
Does an AI Architect role qualify for the STEM OPT extension?
Yes, if your degree is in an eligible STEM field such as computer science, computer engineering, electrical engineering, or applied mathematics, and the role involves applying that technical knowledge directly. Check your degree's CIP code against the USCIS STEM designated degree list and confirm with your DSO that the AI Architect position satisfies the practical training requirement.
What does the I-983 training plan need to cover for an AI Architect position?
Your I-983 must document specific learning objectives tied to the role, not just a job description. For AI Architect positions, that means outlining how the work develops skills in areas like distributed systems design, model deployment pipelines, or cloud infrastructure architecture. Both you and your employer sign the form, and USCIS can audit it, so vague entries are a real risk.
How do I find AI Architect employers who are enrolled in E-Verify?
Browse AI Architect listings on Migrate Mate, where employers are filtered for E-Verify enrollment, so you're not wasting applications on companies that can't legally hire STEM OPT workers. You can also ask a recruiter directly for the company's E-Verify ID number and cross-reference it in the E-Verify employer search tool before accepting an offer.
What happens to my STEM OPT authorization if my employer loses E-Verify status after I start?
If your employer's E-Verify participation terminates after you begin working, your STEM OPT authorization is no longer valid for that employer. You'd need to find a new E-Verify-enrolled employer and file an amended I-983 with your DSO. USCIS requires continuous E-Verify enrollment throughout the extension period, not just at the time of initial hiring.
Can I apply for an H-1B while working as an AI Architect on STEM OPT?
Yes, and cap-gap protections apply if your STEM OPT EAD is still valid when H-1B lottery registration opens in March. If selected, your work authorization automatically extends through September 30 of that fiscal year while USCIS adjudicates the petition. AI Architect roles are strong candidates for H-1B specialty occupation classification given the degree requirements attached to the position.
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