Every production AI system whether it's powering customer support writing code analyzing financial data or diagnosing medical conditions needs the same foundational infrastructureA 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 productengineering teams
**What you'll do
**Customer-facing
- Onboard customers onto AI Gateway at full scale -; unified model access virtual model routingfall backs and MCP Gateway setup for their agent tooling Owns: time to first valueproduction 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 - ValidateMutate 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 anomaliesroutingfall back issues guardrail false positives and authorizationidentityfailures 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 documentationself-serve content
- Navigate large enterprise account structures - multiple business units regional teams layered approval chains - from platform engineers up to VPCTO 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 issues by pulling in the right internal owner
- Proactively track account health and usage trends translating platform telemetry into business metrics and QBR narratives Owns: technical health score at 306090 days post-launch expansion revenueARR influenced % of expansion opportunities stalled on technical gaps
- Scope and technically support expansion use cases driving time to technical sign-off on new asks
- Translate the customer's business domain regulated industries financial services healthcare into governance and compliance requirements- data residency audit trails risk tolerance
- Navigate enterprise procurement security review and compliance processes SOC 2 vendor risk as the technical anchor alongside Sales and Legal **Internal-facing
- Document customer architecture patterns multi-tenant Saas routing self-hosted models private MCP server connections and feed them to ProductEngineering
- Escalate gaps in guardrail coverage MCP server catalog or identitygovernance features discovered in the field
- Build reusable playbooks:
guardrail rollout runbooks MCP Gateway onboarding checklists agent governance reference architectures
- Partner with SalesSolutions Engineering on technical validation for renewals and expansions and support upsell motions with technical proof points
- Drive internal case reviews for aging or stuck support tickets ensuring nothing sits unresolved without a clear owner and next step **What you'll bring
- 7+ years in a technical customer-facing role at an APIinfrasecurity or AI platform company with a robust track record managing large enterprise accounts Fortune 500 large regulated industries
- Demonstrated experience partnering with enterprise customers to connect business domain requirements - industry regulations internal risk policies business KPis - to technical architecture decisions
- Solid grasp of API gateway concepts auth rate limiting RBAC and LLM-specific concerns promptresponse handling token-based cost model routing
- Working understanding of OAuth token exchange delegation and identity federation patterns- enough to reason about multi-hop agent authorization
- Familiarity with MCP Model Context Protocol or comparable tool-callingagent frameworks LangGraph CrewAl OpenAI Agents SDK is a strong plus
- Ability to translate governancesecurity tradeoffs into business risk and ROI language for both engineers and executives
- Comfortable operating across enterprise procurement security review and multi-stakeholder buying committees
- A strong sense of ownership over open issues - comfortable chasing internal teams and pushing cases to closure rather than waiting on process
- Comfortable owning ambiguous fast-evolving product areas agent governance is a newer actively developing space with minimal supervision ;
Traits we are looking for: Ownership ability to execute hustle and think out of the box data driven decision making be comfortable with more unknowns than knowns Perks of Working at TrueFoundry
- Join a fast-growing Series A Bay Area-based startup building cutting-edge AI infrastructure
- Comprehensive health insurance for you and your family
- Flexible hybrid work 3 days a week in the office Tuesday Wednesday and Thursday with flexibility around the schedule
- Lunch and snacks are on us whenever you come into the office
- Work from another TrueFoundry office for up to 3 months each year whether that's our London or Bay Area office if you'd like a change of scenery
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.