Deployed Architect, Professional Services (NYC)
About this role
Enterprise customers need reliable infrastructure and well-evaluated agent applications to move from prototypes to production-ready AI agents, and this hire will solve that challenge by designing and optimizing production-grade systems directly with clients.
Working within the Professional Services team, the Deployed Architect bridges software development, platform engineering, and client engagement. Responsibilities range from architecting scalable Kubernetes clusters and CI/CD pipelines to building multi-agent architectures using modern frameworks.
Candidates who excel in this position combine deep technical expertise across infrastructure and agent engineering with strong consulting skills. Former founders or experienced technical professionals with a hands-on, customer-facing background will thrive by shaping best practices and driving enterprise adoption.
What you will do
- Design scalable and highly available infrastructure for AI platform deployments covering compute, storage, networking, security, and multi-region disaster recovery strategies.
- Build multi-agent systems using modern frameworks and implement evaluation frameworks alongside prompt optimization via A/B testing.
- Lead technical maturity assessments and collaborate directly with enterprise customers to gather requirements and present strategic recommendations.
- Partner closely with internal Engagement Managers, Product teams, and Engineering groups to guide deployment and operations.
- Utilize Infrastructure as Code tools like Terraform and Helm to manage deployments and GitOps practices.
What you need
- Bring seven or more years of experience in technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer.
- Demonstrate at least three years of experience designing and deploying production infrastructure on cloud platforms including GCP, AWS, or Azure.
- Possess strong Kubernetes experience with GKE, EKS, or AKS, alongside knowledge of database systems and networking security.
- Have a minimum of one year of experience building production AI or ML applications and agents using LLM frameworks like LangChain and LangGraph.
- Write code proficiently in Python or TypeScript and understand state management patterns, vector stores, and RAG architectures.
- Demonstrate strong communication skills with enterprise customers, including the ability to conduct technical assessments and explain complex concepts.
Benefits
- Medical, dental, and vision coverage
- Flexible vacation
- 401(k) plan
- Meals on in-office days in the US
Skills and tech stack
Questions candidates ask
Where is this role located?
This position is located in New York City. The role also requires a willingness to travel up to 20% of the time.
What is the compensation range for this position?
The base salary ranges from $170,000 to $215,000. Compensation also includes equity and benefits.
What kind of technical background is required?
You need seven or more years in a technical customer-facing role with cloud platform and Kubernetes experience. Additionally, you should have at least one year of experience building production AI applications using LLM frameworks in Python or TypeScript.
Who is on the hiring team or what department is this in?
You will join the Professional Services team at LangChain. You will work directly with enterprise customers as well as internal Engagement Managers and Product and Engineering teams.