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Job description
Own the system design for agentic capabilities, including orchestration, context and state, tool boundaries, and reliability patterns for non-deterministic systems
Write TDRs, design documents, and standards that set architectural direction across teams
Prototype to validate architectural decisions before teams commit to them at scale
Partner with Data Science to integrate agent and model work with platform services, APIs, event streaming, and storage
Review engineering TDRs and provide substantive feedback on architecture and risk
Build consensus and alignment across engineering teams
Drive AI-assisted and agentic development adoption across engineering
Mentor senior and staff engineers on agentic system design
Communicate architectural decisions and trade-offs to executives and customers
Report to the Chief Architect and partner with engineering leadership, Product, and Data Science
Requirements
10+ years of software engineering experience, including significant time as a senior, staff, or principal-level architect or technical lead designing production systems
Deep expertise in distributed systems, including service boundaries, consistency models, event-driven architecture, API design (REST; gRPC familiarity a plus), and operating systems reliably at scale
Hands-on experience building, prototyping, and architecting agentic or LLM-powered systems in production, including agent loop design, context engineering, MCP and tool/function-calling integration, RAG architectures, memory and state management, and reliability and guardrail patterns for non-deterministic systems
Working knowledge of data engineering fundamentals, including data modeling, pipeline design, and streaming vs. batch
Track record of influencing without authority and earning genuine technical buy-in
Strong technical writing and mentorship skills, including TDRs, design docs, and decision records
Ability to communicate complex architectural decisions clearly to executives and customers
Comfort operating as a senior individual contributor
Familiarity with multi-agent orchestration patterns (preferred)
Experience with Node.js/TypeScript, PostgreSQL, ClickHouse, Kafka, AWS, and Kubernetes (preferred)
Experience leading AI-assisted or agentic development adoption across an engineering organization (preferred)
Experience partnering with data science or ML teams on productionizing their work (preferred)
Cybersecurity industry background (preferred)
No immigration sponsorship is provided for this position
Core Competencies
Demonstrates deep expertise in distributed systems and agentic capabilities, with a strong focus on architectural design, prototyping, and integration of AI-assisted systems. Proven ability to mentor engineers and communicate complex decisions effectively to stakeholders.
Highest-signal resume keywords
Distributed Systems Expertise
Architectural Design
Prototyping Agentic Systems
Technical Writing Skills
Mentorship and Leadership
ATS Optimization Keywords
Hard Skills
Software Engineering
API Design
Event-Driven Architecture
Data Modeling
Pipeline Design
Agent Loop Design
Context Engineering
Memory Management
Reliability Patterns
Guardrail Patterns
Soft Skills
Influencing Without Authority
Communication Skills
Consensus Building
Mentorship
Industry Keywords
Cybersecurity
AI-Assisted Development
Agentic Systems
Multi-Agent Orchestration
Tools & Technologies
Node.js
TypeScript
PostgreSQL
ClickHouse
Kafka
AWS
Kubernetes
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Worksite address
new york, NY, 10261, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.