Core Architect – Integration Lead, Applied AI

Zero Hash

. Own the access layer using native connectors, MCP servers, and Databricks US/EU .

Posted 10/14/2026full-timeRemote • United States, United Kingdom, NetherlandsSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Python-first backend engineering, focusing on event-driven systems and API integration, while ensuring security-first practices in regulated environments. Proficient in designing and implementing authority policies, versioned schemas, and deployment pipelines for robust data access and auditing.

Highest-signal resume keywords

Python Backend EngineeringEvent-Driven SystemsAPI IntegrationCapability-Based AuthorizationSecurity-First Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Event-Driven SystemsAPI IntegrationCI/CDVersioned SchemasPolicy-As-CodeSigned CredentialsTamper-Evident AuditingLeast Privilege AccessAgent-System ExperienceCross-Institution Interoperability

Soft Skills

JudgmentResearch HabitAutonomy

Tools & Technologies

DatabricksMCP ServersLLM AgentsSelf-Hosted StacksConfidential Computing

Industry Keywords

Regulated EnvironmentMSBVASPBankingZero-Knowledge Attestations

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Own the access layer using native connectors, MCP servers, and Databricks US/EU
Enforce short-lived tokens, least-privilege read-only access, zero raw PII, and data residency
Define versioned schemas for signed credentials and action records
Establish deployment pipelines, authority policy as code, skill merge gates, signed builds, and SBOMs
Build an authority lease service with integrated kill switches
Capture events in append-only, hash-chained logs for tamper-evident, independently verifiable auditing
Migrate existing agents onto the Core and launch new per-department agents
Lead security reviews for continuous read access
Extend the Core to bounded write operations with logged actions, idempotency keys, compensating actions, and multi-approver time-locks for money movement
Design primitives for cross-institution interoperability using signed mandates, scoped authority, and attestation receipts
Design self-hosted, zero-egress private stacks when required by classification evidence
Evaluate developments in agent frameworks, confidential inference, and zero-knowledge attestations
Threat-model prompt injection, credential exfiltration, and confused-deputy risks

Requirements

What you’ll need

Senior, Python-first backend engineering with production experience in event-driven systems, API integration, and CI/CD
Agent-system experience composing LLM agents (Claude, GPT, or comparable; Bedrock or comparable platforms) into standing systems
Judgment to keep models at the edges and the control plane deterministic
Security-first habits in a regulated environment (MSB/VASP, bank, or comparable)
Least privilege and read-only access as standard practices
Working familiarity with capability-based authorization: attenuable tokens, workload identity, and policy-as-code
Preferred: verifiable credentials, HTTP message signatures, or emerging agent-payment mandate schemes (x402, AP2, MPP, Visa TAP, Mastercard Agent Pay)
Preferred: self-hosted LLM stacks and confidential computing / trusted execution environments
Research habit and autonomy in a foundational role with wide scope and few hand-holds

Benefits

Comp & perks

Healthcare Insurance: zerohash covers roughly 100% of employee premiums as well as a portion of spouse/children (U.S. only)
Vision & Dental Insurance (U.S. only)
Chance to earn equity
Maternity & Paternity leave (after 6 months)
WeWork All Access Membership
WFH Yearly Stipend
L&D Yearly Stipend (after 6 months)