Upstart 13

Solutions Engineer

• Own the end-to-end AI architecture across LLM orchestration, retrieval, enterprise data integration, and deployment.
• Define architectural standards, best practices, and reusable AI patterns across the platform.
• Evaluate architectural trade-offs involving latency, cost, model quality, scalability, security, and maintainability.
• Define the long-term AI strategy in collaboration with the Delivery Lead and engineering leadership.
• Design intelligent agent architectures, including tool calling, retrieval, planning, multi-step reasoning, and state management.
• Design AI integrations with enterprise data platforms, semantic models, APIs, and knowledge repositories.
• Define AI evaluation strategies covering quality, hallucination detection, grounding, latency, and cost optimization.
• Design observability and monitoring capabilities for AI applications, including prompt performance, model behavior, and operational telemetry.
• Collaborate with cloud infrastructure and security teams to ensure secure, resilient, and compliant deployments.
• Contribute directly to proof-of-concepts and critical implementation efforts when needed.

AI Solutions Architect