Presales Solution Architect Jobs at LangChain with Visa Sponsorship
Presales Solution Architect roles at LangChain sit at the intersection of AI infrastructure expertise and enterprise sales, requiring deep technical fluency with LLM frameworks and the ability to translate that into customer value. LangChain has a track record of sponsoring visa candidates for technical go-to-market positions.
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Get Access To All JobsAbout 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.
About The Team
The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
About The Role
The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.
Location(s)
West: San Francisco, Pacific Northwest, Southern California
Central: Austin, Chicago, Denver
East: New York, Atlanta
EMEA: London, Amsterdam
What You’ll Do
- Co-architect and co-build production AI agents with customer engineering teams
- Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
- Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
- Advise customers post-sale on architecture, best practices, and roadmap-level decisions
- Run technical demos, trainings, and workshops for developer audiences
- Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
- Occasionally contribute code upstream when it meaningfully improves customer outcomes
What You’ll Bring
- 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up
- Strong Python, JavaScript and systems fundamentals
- Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
- Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations
- Can explain technical tradeoffs clearly and build trust with developer audiences
- Take responsibility for outcomes, not just recommendations
- Have a bias toward action and enjoy figuring things out as you go
- Are excited about operating AI agents in production, not just building demos
Nice to Have’s:
- You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
- Worked with LLM evaluation, observability, or guardrails
- Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
- Have shipped and operated production software and are comfortable owning systems under real-world constraints
Compensation & Benefits
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.
Annual OTE range: $150,000–$250,000 USD
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.
About The Team
The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
About The Role
The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.
Location(s)
West: San Francisco, Pacific Northwest, Southern California
Central: Austin, Chicago, Denver
East: New York, Atlanta
EMEA: London, Amsterdam
What You’ll Do
- Co-architect and co-build production AI agents with customer engineering teams
- Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
- Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
- Advise customers post-sale on architecture, best practices, and roadmap-level decisions
- Run technical demos, trainings, and workshops for developer audiences
- Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
- Occasionally contribute code upstream when it meaningfully improves customer outcomes
What You’ll Bring
- 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up
- Strong Python, JavaScript and systems fundamentals
- Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
- Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations
- Can explain technical tradeoffs clearly and build trust with developer audiences
- Take responsibility for outcomes, not just recommendations
- Have a bias toward action and enjoy figuring things out as you go
- Are excited about operating AI agents in production, not just building demos
Nice to Have’s:
- You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
- Worked with LLM evaluation, observability, or guardrails
- Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
- Have shipped and operated production software and are comfortable owning systems under real-world constraints
Compensation & Benefits
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.
Annual OTE range: $150,000–$250,000 USD
See all 30+ Presales Solution Architect at LangChain jobs
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Get Access To All JobsTips for Finding Presales Solution Architect Jobs at LangChain Jobs
Frame your LLM integration experience clearly
LangChain hires Presales Solution Architects who can demo and explain agentic workflows. Document specific projects involving LLM orchestration, RAG pipelines, or LangChain's own tooling before applying, so your technical depth is obvious from first contact.
Confirm H-1B eligibility before the offer stage
Presales Solution Architect roles require a specialty occupation tie to your degree. Verify your degree field maps cleanly to a technical discipline like computer science or engineering so USCIS classification isn't contested during the H-1B petition review.
Target LangChain's enterprise and platform teams
LangChain's open Presales roles skew toward enterprise accounts and platform integrations. Filter your applications toward those team contexts, where technical sales cycles are complex enough to justify a Presales specialist headcount and ongoing sponsorship investment.
Ask about E-3 eligibility if you're Australian
Australian citizens can use the E-3 visa for Presales Solution Architect roles, bypassing the H-1B lottery entirely. Raise this with LangChain's recruiting team early, as it simplifies the filing process and removes lottery timing as a barrier to your start date.
Use Migrate Mate to find sponsored Presales openings
Sponsored Presales Solution Architect roles are not always tagged as visa-friendly on general job boards. Use Migrate Mate to surface LangChain openings filtered by sponsorship history, so you're applying to roles where sponsorship is already an established practice.
Time your application around H-1B cap filing windows
If you need cap-subject H-1B sponsorship, LangChain must file in April for an October 1 start date. Factor that into your offer negotiation timeline so your start date aligns with USCIS processing and your current status or OPT expiration doesn't create a gap.
Presales Solution Architect at LangChain jobs are hiring across the US. Find yours.
Find Presales Solution Architect at LangChain JobsFrequently Asked Questions
Does LangChain sponsor H-1B visas for Presales Solution Architects?
Yes, LangChain sponsors H-1B visas for Presales Solution Architect roles. The position qualifies as a specialty occupation when tied to a technical degree in computer science, engineering, or a related field. If you're on OPT or need a status change, raise sponsorship directly with the recruiting team during early conversations so both sides can align on timeline.
Which visa types are commonly used for Presales Solution Architect roles at LangChain?
H-1B is the most common path for Presales Solution Architects at LangChain, particularly for candidates transitioning from F-1 OPT. Australian citizens have an additional option through the E-3 visa, which carries no lottery and allows two-year renewable periods. Both visa types require a certified Labor Condition Application filed by LangChain with the Department of Labor before the petition can proceed.
What qualifications does LangChain expect for Presales Solution Architect candidates?
LangChain typically looks for Presales Solution Architects with hands-on experience building or deploying LLM-based applications, strong familiarity with AI developer tooling, and the ability to lead technical discovery and demonstrations with enterprise buyers. A background in software engineering or solutions architecture is common among successful candidates, and direct experience with LangChain's framework is a meaningful differentiator.
How do I apply for Presales Solution Architect jobs at LangChain?
You can apply through LangChain's careers page directly or use Migrate Mate to browse open Presales Solution Architect roles filtered by sponsorship eligibility. When applying, tailor your resume to highlight agentic AI use cases and enterprise sales support experience. Flag your visa situation early in the process so the recruiting team can loop in LangChain's immigration counsel without delaying the offer stage.
How do I plan my timeline if I need H-1B sponsorship for a LangChain role?
Cap-subject H-1B petitions must be filed in early April for an October 1 start date, following a March lottery registration window. If you're currently on F-1 OPT, confirm your OPT expiration date and STEM extension eligibility so there's no employment gap between your current authorization and the H-1B start date. USCIS premium processing is available and can reduce adjudication time to around 15 business days.
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