Deployed Architect, Professional Services (Austin)
About this role
Engineers who thrive at the intersection of infrastructure reliability and client collaboration will find an ideal fit in this Professional Services position. The team builds foundations for agent engineering, creating tools like LangSmith and various open-source frameworks to help developers deploy production-ready AI agents at scale. Daily responsibilities involve partnering directly with enterprise customers to design secure cloud infrastructure, orchestrate Kubernetes environments, and build well-evaluated multi-agent systems using modern frameworks. The role exists to bridge complex technical architecture with customer success, requiring individuals who can balance heavy platform engineering with consultative client engagement.
Operating in Austin, Texas, the successful candidate joins a collaborative environment backed by significant Series B funding. Team members work across the entire lifecycle from platform design to prompt optimization, shaping how intelligent agents function in real-world enterprise settings. Those who excel here combine deep technical competence in cloud platforms with strong interpersonal skills, guiding organizations from initial technical assessments through full production deployment.
What you will do
- Design scalable and highly-available infrastructure for AI platform deployments including compute, storage, networking, and security patterns.
- Implement Infrastructure as Code using tools like Terraform and Helm alongside multi-region high-availability and disaster recovery strategies.
- Build multi-agent systems using various patterns and implement agent logic with modern frameworks such as LangChain and LangGraph.
- Design comprehensive evaluation frameworks and optimize prompts through A/B testing methods.
- Lead technical maturity assessments and work directly with enterprise customers to gather requirements and present recommendations.
- Partner closely with internal Engagement Managers, Product teams, and Engineering teams to drive successful customer implementations.
What you need
- Bring 7 or more years of experience in technical, hands-on customer-facing roles like Solutions Architect or Forward Deployed Engineer.
- Possess at least 3 years of experience designing and deploying production infrastructure on major cloud platforms including GCP, AWS, or Azure.
- Demonstrate strong Kubernetes experience involving cluster design, autoscaling, and multi-zone deployments.
- Show a minimum of 1 year of experience building production AI or machine learning applications and agents.
- Demonstrate strong development skills using Python and/or TypeScript.
- Have professional experience facing enterprise customers and conducting technical assessments or infrastructure audits.
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 job located?
This role is located in Austin, Texas. The position also requires a willingness to travel up to 20% of the time.
What is the compensation range for the role?
The base salary range is $170,000 to $215,000. Additionally, the position includes equity, benefits, and perks.
What technical background is required for this position?
Candidates need 7+ years of experience in technical customer-facing roles, including at least 3 years of cloud infrastructure and Kubernetes experience, plus 1+ years building production AI or ML applications using Python or TypeScript.
What kind of team will I be working with?
You will join the Professional Services team in a collaborative environment with a strong engineering culture. You will also partner directly with enterprise customers, Engagement Managers, and Product and Engineering teams.