Solutions Architect (Austin)

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 in technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer.

Infrastructure & Platform:

• 3+ years designing and deploying production infrastructure on cloud platforms (GCP, AWS, Azure).
• Strong Kubernetes experience (GKE, EKS, AKS) including cluster design, autoscaling, and multi-zone deployments.
• Terraform, Helm, GitOps.
• Database systems (relational, in-memory) HA, replication, backup.
• High-availability and disaster recovery solutions.
• Networking, security (SSO/RBAC, TLS, secrets management), observability (Prometheus, Grafana, Datadog).
• CI/CD pipelines.

Agent Engineering & Development:

• 1+ years building production AI/ML applications or agents.
• LangChain, LangGraph for agent-based applications.
• State management patterns.
• Evaluation frameworks for AI.
• Prompt engineering, A/B testing.
• Vector stores, RAG patterns.
• Tool integration, API design, error handling.
• Python, TypeScript.