Software Architect Jobs at LangChain with Visa Sponsorship
LangChain builds the infrastructure layer for AI applications, and Software Architect roles here sit at the intersection of distributed systems, LLM tooling, and developer platform design. LangChain has a track record of sponsoring work visas for technical architecture talent, including H-1B and E-3 pathways.
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We're looking for a Solutions 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.
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. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500. 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.
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:
- We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. 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.
- $170K to $190K
About The Role
We're looking for a Solutions 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.
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. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500. 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.
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:
- We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. 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.
- $170K to $190K
See all 38+ Software Architect at LangChain jobs
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Get Access To All JobsTips for Finding Software Architect Jobs at LangChain Jobs
Frame Your Architecture Experience Around AI Infrastructure
LangChain hires architects who can design systems that orchestrate LLMs at scale. Before applying, reframe your resume around retrieval-augmented generation pipelines, agent frameworks, or vector database integrations rather than generic backend or cloud architecture.
Verify Your Employer Identification Number Status
Before accepting an offer, confirm LangChain is registered with E-Verify. USCIS requires H-1B employers to complete I-9 verification, and E-Verify enrollment signals the company has active compliance infrastructure for sponsoring foreign workers.
Target Roles Explicitly Requiring a Relevant Degree Field
H-1B specialty occupation approval depends on the role requiring a degree in a specific field, not just any bachelor's degree. Software Architect postings that name computer science, software engineering, or a related discipline as a hard requirement give your petition the strongest foundation.
Negotiate Sponsorship Scope Before Signing
Clarify upfront whether LangChain will cover premium processing, which cuts USCIS adjudication to 15 business days. For cap-subject H-1B filings, premium processing is often the difference between starting in October and waiting an additional cycle.
Use Migrate Mate to Surface Open Software Architect Roles
LangChain's open Software Architect positions change frequently as the product scales. Search Migrate Mate to filter specifically for LangChain roles that include visa sponsorship, so you're applying to openings where sponsorship is already confirmed rather than guessing.
Prepare for Technical Interviews That Test System Design Depth
LangChain's architect interviews heavily weight distributed system design and LLM orchestration trade-offs. Documenting prior work on multi-agent architectures or stateful workflow systems strengthens both your interview and the specialty occupation evidence your attorney will need for the petition.
Software Architect at LangChain jobs are hiring across the US. Find yours.
Find Software Architect at LangChain JobsFrequently Asked Questions
Does LangChain sponsor H-1B visas for Software Architects?
Yes, LangChain sponsors H-1B visas for Software Architect roles. The H-1B is a specialty occupation visa requiring a bachelor's degree or higher in a relevant field such as computer science or software engineering. Because H-1B is subject to an annual lottery, your employer must submit a registration in March for an October start date. Premium processing is available and significantly reduces USCIS adjudication time.
How do I apply for Software Architect jobs at LangChain?
Start by browsing open Software Architect positions on LangChain's careers page or through Migrate Mate, which filters for roles that include visa sponsorship. Tailor your application to highlight experience with LLM orchestration, distributed systems design, and developer tooling infrastructure. LangChain's hiring process typically involves a recruiter screen, system design interviews, and a technical panel before an offer stage.
Which visa types does LangChain commonly use for Software Architect roles?
LangChain sponsors both H-1B and E-3 visas for Software Architect positions. The H-1B is open to most nationalities and subject to the annual cap, while the E-3 is available exclusively to Australian citizens and has a separate, rarely filled allocation of 10,500 spots per year. Australian applicants should seriously evaluate the E-3 path given its shorter processing timeline and no lottery requirement.
What qualifications does LangChain expect for Software Architect roles?
LangChain typically looks for strong systems design fundamentals, experience building or maintaining large-scale distributed platforms, and hands-on familiarity with LLM frameworks, agent orchestration, or retrieval pipelines. A bachelor's degree in computer science, software engineering, or a closely related field is generally expected. Candidates with open-source contributions to AI tooling ecosystems or prior work at developer infrastructure companies tend to stand out.
How do I understand the H-1B timeline if I'm targeting a Software Architect role at LangChain?
USCIS opens H-1B registration each March for a start date of October 1. If selected in the lottery, your employer files the full petition, and USCIS targets a six-month adjudication window for standard processing. Premium processing cuts that to 15 business days. Build your job search timeline backward from the March registration window to give LangChain adequate time to prepare your petition documentation.
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