Architect Jobs at LangChain with Visa Sponsorship
Architect jobs at LangChain sit at the intersection of AI infrastructure and enterprise software design, requiring deep systems thinking and hands-on experience with LLM-based platforms. LangChain actively sponsors international talent for these positions, making it a genuine option for H-1B visa and E-3 visa holders building careers in the AI tooling space.
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At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About The Role
We're looking for a Solution Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems. This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains. This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.
Key Responsibilities
- Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines
- Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations
- Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams
Required Experience
What We're Looking For
7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply
Infrastructure & Platform:
- 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)
- Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments
- Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices
- Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing
- Experience designing high-availability and disaster recovery solutions
- Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)
- Experience with CI/CD pipelines for infrastructure and applications
Agent Engineering & Development:
- 1+ years of experience building production AI/ML applications or agents
- Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications
- Experience with state management patterns (short-term and long-term memory)
- Experience designing and implementing evaluation frameworks for AI applications
- Strong prompt engineering skills with experience in optimization and A/B testing
- Experience with vector stores, RAG patterns, and knowledge organization
- Experience with tool integration, API design, and error handling patterns
- Strong Python and/or TypeScript development skills
Customer-Facing:
- Customer-facing experience with enterprise customers
- Experience conducting technical assessments or infrastructure audits
- Strong communication skills with ability to explain technical concepts to diverse audiences
Key Attributes
- Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions
- Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences
- Experience working cross-functionally with engineering teams, product teams, and customers
- Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation
- Ability to balance infrastructure architecture with agent development work
- Strong engineering background with hands-on development experience
Location: New York City
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
About us
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About The Role
We're looking for a Solution Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems. This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains. This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.
Key Responsibilities
- Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines
- Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations
- Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams
Required Experience
What We're Looking For
7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply
Infrastructure & Platform:
- 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)
- Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments
- Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices
- Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing
- Experience designing high-availability and disaster recovery solutions
- Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)
- Experience with CI/CD pipelines for infrastructure and applications
Agent Engineering & Development:
- 1+ years of experience building production AI/ML applications or agents
- Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications
- Experience with state management patterns (short-term and long-term memory)
- Experience designing and implementing evaluation frameworks for AI applications
- Strong prompt engineering skills with experience in optimization and A/B testing
- Experience with vector stores, RAG patterns, and knowledge organization
- Experience with tool integration, API design, and error handling patterns
- Strong Python and/or TypeScript development skills
Customer-Facing:
- Customer-facing experience with enterprise customers
- Experience conducting technical assessments or infrastructure audits
- Strong communication skills with ability to explain technical concepts to diverse audiences
Key Attributes
- Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions
- Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences
- Experience working cross-functionally with engineering teams, product teams, and customers
- Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation
- Ability to balance infrastructure architecture with agent development work
- Strong engineering background with hands-on development experience
Location: New York City
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Benefits
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
See all Architect Jobs at LangChain
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Architect Jobs at LangChain.
Get Access To All JobsTips for Finding Architect Jobs at LangChain
Frame your portfolio around LLM system design
LangChain hires Architects who can demonstrate end-to-end experience designing systems that integrate large language models into production environments. Document specific architectural decisions you made, the tradeoffs involved, and the scale at which those systems operated.
Target open roles that match your visa timeline
H-1B cap-subject candidates need an employer to file in April for an October start, so apply to LangChain roles at least six months before your current status expires. Australian citizens on the E-3 path face no lottery and can begin much closer to a target start date.
Verify your specialty occupation documentation before applying
USCIS requires Architect roles to qualify as specialty occupations, meaning your degree field must align directly with the position. If your degree is in a tangentially related discipline, gather evidence of coursework or certifications that bridge the gap before the petition is filed.
Confirm employer readiness before signing anything
Ask LangChain's recruiting team whether they use a preferred immigration counsel and whether that firm has filed petitions for software or AI Architect roles before. A firm already familiar with LangChain's petition structure will move faster and reduce avoidable RFE risk.
Use Migrate Mate to surface LangChain architect openings
Architect roles at AI-focused companies like LangChain get filled quickly and aren't always easy to find through general job boards. Use Migrate Mate to filter specifically for visa-sponsoring employers in the technology sector and monitor for new Architect postings as they open.
Prepare for technical interviews on distributed AI architecture
LangChain's Architect interviews emphasize scalable agent orchestration, retrieval-augmented generation pipelines, and multi-model system design. Review recent LangChain product releases and be prepared to discuss architectural patterns you'd apply to their specific platform constraints.
Frequently Asked Questions
Does LangChain sponsor H-1B visas for Architects?
Yes, LangChain sponsors H-1B visas for Architect roles. Architect positions at LangChain typically qualify as specialty occupations under USCIS guidelines, given the degree-level requirements in computer science, software engineering, or a closely related field. If you're cap-subject, your offer needs to be in place before the April registration window so LangChain can file on your behalf.
How do I apply for Architect jobs at LangChain?
You can browse and apply for Architect roles at LangChain directly through their careers page, or find visa-sponsoring openings through Migrate Mate, which filters specifically for employers like LangChain that support H-1B and E-3 candidates. Tailor your application to emphasize LLM-based system design experience, as LangChain's Architect roles are tightly focused on AI infrastructure rather than general software architecture.
Which visa types are commonly used for Architect roles at LangChain?
LangChain sponsors both the H-1B and E-3 visa for Architect positions. The H-1B is available to applicants of any nationality but requires winning the annual USCIS lottery for cap-subject cases. The E-3 is available exclusively to Australian citizens, carries no lottery, and allows two-year renewable periods, making it a more predictable path for Australians targeting roles at AI companies like LangChain.
What qualifications does LangChain expect for Architect roles?
LangChain's Architect roles typically require a bachelor's degree or higher in computer science, software engineering, or a related technical discipline, along with meaningful experience designing large-scale distributed systems. Given LangChain's focus on AI tooling, candidates who can demonstrate hands-on work with LLM pipelines, agent frameworks, or retrieval-augmented generation systems are positioned more competitively than those with only traditional enterprise architecture backgrounds.
How do I manage my visa timeline when targeting an Architect role at LangChain?
Timeline management depends on your current status. H-1B cap-subject candidates should align their LangChain job search with the April filing window, starting outreach at least five to six months in advance. E-3 applicants can move faster since there's no lottery, but LangChain still needs time to prepare the Labor Condition Application through DOL before your consular interview. Factor in at least four to six weeks for that step.