Deployed Architect, Professional Services (Dallas)
$170k - $215k • Remote • Dallas, TX • FullTime
Posted 10d ago
Remote Work Policy
Fully remote
Employment Type
FullTime
Categories
Applied AI Engineer
About the job
LangChain is seeking a Deployed Architect for its Professional Services team to collaborate directly with enterprise clients. This role involves designing, deploying, and optimizing production-grade AI infrastructure and agent systems. You will be responsible for architecting scalable and secure infrastructure, as well as building reliable agent applications that address significant business challenges. The position blends software development, infrastructure engineering, and customer interaction, requiring deep expertise in both infrastructure and agent engineering.
Responsibilities
- Design scalable, highly-available infrastructure for AI platform deployments, including compute, storage, networking, and security.
- Implement enterprise integration patterns and manage infrastructure as code using tools like Terraform and Helm.
- Develop multi-region high-availability and disaster recovery strategies.
- Build and maintain CI/CD pipelines for infrastructure and applications.
- Design multi-agent systems using various patterns and implement agent logic with modern frameworks like LangChain/LangGraph.
- Develop comprehensive evaluation frameworks for AI applications and optimize prompts through A/B testing.
- Guide the deployment and operation of agent systems.
- Lead technical maturity assessments for enterprise customers.
- Collaborate with customers to understand requirements and present technical recommendations.
- Partner with Engagement Managers and Product/Engineering teams.
Requirements
- 7+ years of experience in technical, customer-facing roles such as Solutions Architect or Forward Deployed Engineer.
- 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, in-memory) including HA, replication, backup, 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.
- 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 experience with enterprise customers.
- Experience conducting technical assessments or infrastructure audits.
- Strong communication skills with the ability to explain technical concepts to diverse audiences.
- Strong problem-solving skills and ability to design elegant solutions.
- Consultative approach to understanding customer needs and guiding implementation.
- Ability to balance infrastructure architecture with agent development work.
- Willingness to travel up to 20% of the time.
Benefits
- Equity
- Benefits
- Perks