Job Opportunities API

About TrueFoundry Every production AI system whether it's powering customer support, writing code, analyzing financial data, or diagnosing medical conditions needs the same foundational infrastructure.A way to route between models. A way to manage tools and integrate them securely. A way to orchestrate agents and enforce governance. A unified compute layer to run it all. That infrastructure layer is being built right now. We are looking for a Senior Technical Customer Architect to join the team. The Problem We're Solving Companies are moving beyond simple chatbots to production agentic systems. These systems route between OpenAI, Anthropic, Google, and self-hosted models. They integrate dozens of tools via protocols like MCP. They orchestrate multi-agent workflows where agents coordinate with other agents. The infrastructure to support this doesn't exist yet. You can't just duct-tape together a few API calls and call it production-ready. You need a control plane that handles: Intelligent routing with observability, cost policies, and fallback logic Centralized tool and MCP server management with security and lifecycle controls Agent orchestration with governance and guardrails A unified compute layer to run self-hosted models, custom tools, and agents AI Gateway is the control plane five composable components (Prompts, LLM Gateway, MCP Gateway, Guardrails, Agent Gateway) that handle routing, orchestration, and governance. We're Series A, backed by Intel Capital and Sequoia. Companies like CVS, Mastercard, Siemens, Paytm, Synopsys, and Zscaler run production AI workloads on our platform. About the role You'll be the primary post-sales technical point of contact for TrueFoundry's largest AI Gateway customers - champion internally, trusted architect externally. Your customers are large enterprises with complex org structures, procurement cycles, and compliance requirements; they aren't just calling models, they're governing LLM traffic, MCP tool access, and autonomous agents across dozens of teams. You'll guide platform, security, and application teams through that governance layer, understand how it maps to their specific industry and business processes, drive their business growth on the platform, and be the technical bridge between their evolving AI usage and TrueFoundry's product/engineering teams. What you'll do Customer-facing Onboard customers onto AI Gateway at full scale -  unified model access, virtual model routing/fall backs, and MCP Gateway setup for their agent tooling. Owns: time to first value/production, adoption rate of the initial use case Design access-control models and unified authorization across model calls, MCP tools, and agent-to-agent calls Advise on guardrail strategy - Validate/Mutate modes, phased rollout from Audit to Enforce for PII, prompt injection, and content moderation Guide agent governance - agent identity, per-(agent, user, tool) authorization, identity propagation across multi-hop calls Run architecture workshops on Agent Harness adoption - model selection, MCP connections, sandboxing, human-in-the-loop gates Own technical escalations end-to-end rate limiting, cost anomalies,routing/fall back issues, guardrail false positives, and authorization/identityfailures, Owns: first response and resolution time, escalation rate to engineering Serve as dedicated technical support owner for your accounts - fast technical push and a clear path to resolution on every case, not just a queued ticket. Owns: CSAT on technical interactions, ticket deflection via documentation/self-serve content Navigate large enterprise account structures - multiple business units, regional teams, layered approval chains - from platform engineers up to VP/CTO stakeholders Build and maintain self-serve content (docs, runbooks, FAQs) to deflect repeat questions and reduce ticket volume Monitor open cases daily and unblock stuck issue