Principal Software Engineer – Next-Generation API & AI Platform Architecture

What You'll Do:

• Next-Generation API Architecture
  • Architect and implement customer-facing data and intelligence APIs with clear versioning, SLAs, and backward compatibility.
  • Define and enforce API contracts for low latency, high throughput endpoints; agentic workflows (tools, actions, state transitions, handoffs); context retrieval and enrichment.
  • Design APIs as durable platform interfaces, not thin wrappers over storage systems.
  • Establish standards for schema governance, payload design, and service boundaries.
• Agentic & ML Platform Integration
  • Architect service layers that support agentic workflows, including orchestration interfaces, guardrails, and runtime observability.
  • Build API surfaces that expose model outputs safely and consistently.
  • Collaborate with MLEs and Data Scientists to move models from experimentation into robust inference services.
  • Ensure proper lifecycle management, monitoring, and rollback mechanisms for ML-powered endpoints.
• Data Platform & Context Hubs
  • Design and implement service layers that sit on top of the gold-layer system of record.
  • Build and evolve context hubs derived from authoritative systems of record, enabling consistent entity, identity, or risk context for downstream services.
  • Ensure APIs are aligned with medallion architecture principles and platform data contracts.
  • Prevent fragmentation by maintaining strong coupling to canonical schemas and governed data models.
• Distributed Systems & Reliability
  • Design high-throughput, low-latency services supporting batch and streaming workloads.
  • Implement scalable infrastructure patterns on AWS.
  • Ensure strong observability, error handling, performance tuning, and cost awareness.
  • Drive infrastructure-as-code practices and production readiness standards.
• Technical Leadership
  • Serve as a senior architectural voice in design reviews.
  • Raise the bar on code quality, system design, and operational rigor.
  • Mentor engineers on API design, distributed systems, and ML integration patterns.
  • Influence platform direction through technical depth rather than organizational authority.