Deployed Architect, Professional Services (Dallas)
About this role
Designing production-grade AI infrastructure and agent systems alongside enterprise customers occupies the daily routine for this position. Professionals in this group build reliable, well-evaluated agent applications and architect scalable infrastructure deployments to solve actual business challenges. Joining the Professional Services team provides a chance to guide technical maturity assessments and shape deployment standards using modern tooling.
Operating at the intersection of software development, customer engagement, and platform engineering requires deep technical capability across multiple domains. Ideal candidates bring a strong background in hands-on technical roles and enjoy working cross-functionally with product, engineering, and enterprise clients. This Dallas-based position offers a collaborative environment where contributions directly influence how agent technology operates in the real world.
What you will do
- Design scalable and highly-available infrastructure for AI platform deployments including compute, storage, networking, and security.
- Build multi-agent systems using various patterns and implement agent logic through modern frameworks like LangChain and LangGraph.
- Lead technical maturity assessments and work directly with enterprise customers to understand requirements and present recommendations.
- Create comprehensive evaluation frameworks and optimize prompts through A/B testing methods.
- Partner closely with Engagement Managers as well as internal Product and Engineering teams.
- Manage Infrastructure as Code using tools such as Terraform and Helm alongside multi-region high-availability strategies.
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.
- Possess at least three years of experience designing and deploying production infrastructure on major cloud platforms including GCP, AWS, or Azure.
- Demonstrate strong Kubernetes experience covering cluster design, autoscaling, and multi-zone deployments.
- Show a minimum of one year of experience building production AI or ML applications and agents.
- Exhibit strong development skills in Python, TypeScript, or both languages.
- Maintain proficiency with vector stores, retrieval-augmented generation patterns, and knowledge organization.
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
What is the location and travel requirement for the role?
The position is located in Dallas, TX. Team members in this role must also be willing 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. The compensation package also includes equity.
What kind of technical background is required for infrastructure?
Candidates need 3+ years of experience designing and deploying production infrastructure on GCP, AWS, or Azure. Strong Kubernetes experience and knowledge of Infrastructure as Code tools like Terraform and Helm are also required.
What does the team build and support?
The company builds the foundation for agent engineering, including open-source frameworks like LangChain, LangGraph, and Deep Agents, alongside the LangSmith platform for observability, evaluation, deployment, and fleet management.