Architect

The Software Architect owns technical architecture for the Gen AI Platform, including design decisions that support agentic capabilities, governance features, and product integrations. This role combines hands-on engineering with technical leadership to guide scalable, cloud-native solutions across products. A Typical Day in the Life Includes: · Define target architecture for agentic services built on AWS, Anthropic Claude API/MCP, Python services, and Angular-based front ends. · Write and review code, evaluate designs, and prototype technical approaches for complex platform needs. · Establish standards for integrating agentic frameworks such as LangChain, LangGraph, or comparable tools into production services. · Partner with AI Governance engineering to incorporate explainability, observability, and prevention capabilities into the platform architecture. · Review technical designs from engineering teams and guide decisions related to data flow, service boundaries, and security posture. · Serve as a technical escalation partner for platform-level risks and architecture decisions. · Collaborate across engineering, product, and governance teams to support reliable, scalable, and responsible Gen AI platform capabilities. Basic Qualifications: · Experience architecting distributed, cloud-native systems in production environments. · Experience writing and reviewing code in a hands-on technical architecture or engineering role. · Experience using AI-assisted coding tools such as Claude Code, AWS Kiro, OpenAI Codex, or comparable tools. · Experience with Python and ability to evaluate front-end architecture using Angular or comparable JavaScript frameworks. · Working knowledge of AWS services, including compute, serverless, container orchestration, and managed ML/AI services. · Exposure to agentic frameworks such as LangChain, LangGraph, or comparable frameworks. · Experience setting technical direction across engineering teams or complex technical initiatives. Preferred Qualifications: · Experience architecting systems with governance, auditability, or explainability requirements. · Familiarity with Anthropic Claude API and Model Context Protocol (MCP), or comparable LLM provider APIs and tool-use protocols. · Experience designing services for reliability, cost efficiency, latency, and operational support. · Experience guiding security, data flow, or service boundary decisions for platform services. · Understanding of responsible AI practices, including evaluation of AI outputs and appropriate use of AI tools. · Experience collaborating with product, governance, and engineering stakeholders on platform architecture. · Experience supporting Gen AI, machine learning, or AI-enabled product capabilities in production environments.