ZipRecruiter

Log In

1

Director Langchain Jobs (NOW HIRING)

LangChain, Inc

Solutions Architect (Austin)

Austin, TX · On-site

$62.50 - $82.25/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the ... This role offers direct impact on customer success, the opportunity to shape best practices, and ...

LangChain, Inc

Solutions Architect (Dallas)

Dallas, TX · On-site

$62.25 - $82/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the ... This role offers direct impact on customer success, the opportunity to shape best practices, and ...

LangChain, Inc

Commercial Account Manager

San Francisco, CA · On-site

$230K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the ... Direct experience at a high-growth, developer-first, or AI/ML infrastructure company. * Experience ...

LangChain, Inc

Account Based Marketing Program Lead

$165K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the ... syndication, direct mail, and events * Experience generating pipeline directly for a sales ...

LangChain, Inc

Marketing Operations Systems

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Valid8 Financial, Inc.

Director of Engineering

San Francisco, CA · On-site

$252.31 - $364.45/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Our tech stack includes Golang, TypesScript, Python, Postgres, BigQuery, LangChain, AWS, GCP, and ... Direct applicants only -- we are unable to respond to recruiters or agencies. Key Responsibilities:

Metropolis

Director, Applied AI

Seattle, WA · On-site

They are seeking a Director of Applied AI to lead the new Applied AI organization, focusing on ... LangChain, and vector databases • Demonstrate strong engineering skills and the ability to ...

Otsuka

Associate Director, Senior AI Engineer

Princeton, NJ

$105K - $143K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking a hands on Sr. AI Platform Engineer (Associate Director) to collaborate and drive ... LangChain / Semantic Kernel badges or equivalent microcredentials. Competencies Accountability for ...

Socket.dev

Director, AI Engineering and Enablement

Princeton, NJ · On-site

$193 - $234/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Position Summary As Director, AI Engineering and Enablement within Bristol Myers Squibb's AI ... Research, design, and implement Agentic AI solutions using frameworks such as LangChain and ...

Goodwin Procter Boston

Director, Engineering

Boston, MA · On-site

$225 - $300/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Director of Engineering will provide strategic and operational leadership to a ... LangChain, LlamaIndex), vector databases, secure API design, and distributed full‑stack ...

previous pagenext page

Showing results 21-40

All JobsLangchain JobsDirector Langchain Jobs

Director Langchain information

What is the difference between Director Langchain vs Machine Learning Engineer?

AspectDirector LangchainMachine Learning Engineer
Required CredentialsAdvanced degrees in CS, AI, or related fields; leadership experienceBachelor's or Master's in CS, AI, or Data Science
Work EnvironmentStrategic planning, team management, cross-department collaborationModel development, coding, data analysis
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, AI startups, research labs
Common Search & ComparisonYesYes

The main difference between a Director Langchain and a Machine Learning Engineer lies in their focus and responsibilities. The Director Langchain oversees strategic implementation of language models and manages teams, requiring leadership and industry experience. In contrast, the Machine Learning Engineer focuses on developing and deploying machine learning models, emphasizing technical skills and coding expertise. Both roles are vital in AI development but serve different functions within organizations.

More about Director Langchain jobs

What cities are hiring for Director Langchain jobs?

Cities with the most Director Langchain job openings:

What are the most commonly searched types of Langchain jobs?

The most popular types of Langchain jobs are:

What states have the most Director Langchain jobs?

States with the most job openings for Director Langchain jobs include:

What job categories do people searching Director Langchain jobs look for?

The top searched job categories for Director Langchain jobs are:

Director Langchain jobs near you
Infographic showing various Director Langchain job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, 1% Temporary, and 1% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution.

Solutions Architect (Austin)

LangChain, Inc

Austin, TX • On-site

$62.50 - $82.25/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 4 days ago

Job description

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 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.
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
What We're Looking For
Required Experience
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: Austin, Texas
Compensation
$170K to $190K
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.

Apply