Solutions Architect Jobs at LangChain with Visa Sponsorship
Solutions Architect jobs at LangChain sit at the intersection of AI infrastructure and enterprise implementation, requiring deep technical fluency with LLM frameworks and the ability to guide complex deployments. LangChain has a track record of sponsoring H-1B visa and E-3 visas for strong candidates in this function.
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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 Solutions Architect Jobs at LangChain
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Get Access To All JobsTips for Finding Solutions Architect Jobs at LangChain
Build Demonstrable LangChain Framework Expertise
Hands-on experience with LangChain's open-source tooling, LangSmith, and LangGraph signals technical fit before you apply. Document specific projects where you architected agentic workflows or RAG pipelines, since hiring managers screen for this directly.
Target Roles Requiring Enterprise AI Deployment Experience
LangChain's Solutions Architect openings consistently emphasize pre-sales technical support and customer implementation. Align your resume to show you've owned end-to-end deployments with enterprise clients, not just built internal prototypes.
Confirm Sponsorship Willingness Before Final Rounds
Raise visa sponsorship explicitly with the recruiter during the initial screen, before investing time in technical interviews. LangChain sponsors H-1B and E-3 visas, so confirming which applies to your nationality early avoids misalignment late in the process.
Understand How E-3 Timing Affects Your Start Date
If you qualify for the E-3 as an Australian citizen, consular processing typically takes two to four weeks after LCA certification. Factor this into your negotiated start date so your employer's onboarding timeline matches your visa appointment availability.
Use Migrate Mate to Find Open Sponsorship Roles Fast
Filter specifically for Solutions Architect positions at LangChain that include H-1B or E-3 sponsorship using Migrate Mate. This cuts out the manual research of screening job listings that don't confirm sponsorship intent upfront.
Prepare Your I-129 Supporting Documentation Early
For H-1B filing, USCIS requires evidence that your role qualifies as a specialty occupation. Gather degree certificates, transcripts, and role-specific credential documentation before your employer's immigration counsel initiates the I-129 petition to avoid delays.
Frequently Asked Questions
Does LangChain sponsor H-1B visas for Solutions Architects?
Yes, LangChain sponsors H-1B visas for Solutions Architect roles. The H-1B requires your position to qualify as a specialty occupation, meaning a bachelor's degree or higher in a directly related technical field. LangChain's immigration counsel typically handles the I-129 petition filing, but you'll need to coordinate documentation of your qualifications early in the offer process.
How do I apply for Solutions Architect jobs at LangChain?
Applications go through LangChain's careers page, where open Solutions Architect positions are listed. The hiring process generally includes a recruiter screen, a technical assessment focused on LLM architecture and enterprise deployment scenarios, and final rounds with the GTM and engineering teams. You can also browse verified sponsorship-confirmed openings through Migrate Mate to confirm visa eligibility before applying.
Which visa types are typically used for Solutions Architect roles at LangChain?
LangChain sponsors both H-1B and E-3 visas for Solutions Architect positions. The H-1B is available to candidates of any nationality but requires selection in the annual lottery. The E-3 is exclusive to Australian citizens, has a separate annual cap that has never been exhausted, and can be processed at a U.S. consulate without waiting for a lottery result.
What qualifications does LangChain expect for Solutions Architect roles?
LangChain's Solutions Architect roles require a strong technical foundation in AI and software architecture, direct experience with LLM frameworks including LangChain's own tooling, and a track record of supporting enterprise customers through complex technical implementations. Pre-sales experience and the ability to explain AI infrastructure to both technical and non-technical stakeholders are consistently emphasized in job descriptions.
How do I plan my timeline if LangChain is filing an H-1B petition for me?
H-1B registration opens each March for an October 1 start date. If you're selected in the lottery, your employer has until late June to file the full I-129 petition. USCIS standard processing takes three to five months, though premium processing can reduce this to 15 business days. Plan accordingly if your current work authorization, such as OPT or a prior visa status, has an expiration date approaching.