Job Description
10+years of experience
AI agents are starting to shop and pay on behalf of consumers.
There is a need to build the trust layer that tells merchants who (and what) they're transacting with.
You are expected to own the technical solution end-to-end: deciding where trust is enforced in each ecosystem, writing the ADRs, running the demos, and serving as the technical face to merchants and partners (Anthropic, Google/UCP, Cloudflare, Visa, wallet vendors).
Must have
- 8+ years in solutions/software architecture with hands-on code, including 2025 26 production work on LLM agents with tool use.
- Working knowledge of Claude (Messages API tool use, prompt caching, Agent SDK, Managed Agents) and MCP, including authenticated MCP servers.
- Identity and payments experience: OAuth 2.0/OIDC, JWT/JWKS, HTTP message signatures, and PCI-adjacent checkout flows. Familiarity with UCP, OpenAI ACP, AP2, and KYA.
- Threat-modeling and privacy-by-design skills. You write ADRs engineers follow and sequence diagrams partners can read.
- Consulting-grade communication.
- You've led working sessions with external engineering teams and bridged executives and builders.
Nice to have
- W3C VC 2.0, OID4VCI/OID4VP, SD-JWT or BBS+ Fraud/risk decisioning platforms Cloudflare Workers / edge architectures Prior forward-deployed or FDE role
- You'll own
- ADRs Hook-point inventory Threat models Reference architecture diagrams Integration guides Demo runbooks Partner technical briefings