Security & Risk Staff Enterprise AI Engineer (AI)

TL;DR

Security & Risk Staff Enterprise AI Engineer (AI): Architecting and building a secure and scalable Enterprise AI Platform to enable safe and widespread deployment of AI Agents. Focus on designing agentic orchestration, integrating AI with internal APIs via secure protocols, and implementing robust data security and privacy measures.

Location: Must be based at hirify.global's New York City headquarters, or otherwise in the United States, with US work authorization.

Salary: $215,050–$264,150 USD

Company

hirify.global provides members with expert instruction and world-class content for impactful workout experiences, utilizing innovative hardware, software, and exclusive content.

What you will do

• Architect and build a scalable Agentic Orchestration Platform using frameworks like LangChain or LangGraph.
• Implement an Integration Layer for secure AI agent connectivity to internal APIs (Workday, Snowflake, SAP).
• Design memory stores (Vector DBs like Pinecone/Weaviate) to manage context persistence for AI agents.
• Implement "Security by Design" principles, including identity propagation and PII masking pipelines.
• Define engineering standards, templates, and libraries for safe, low-code AI development.
• Optimize inference costs and manage ephemeral compute resources for AI workloads using Kubernetes (EKS).

Requirements

• 10+ years of software engineering experience, with 3+ years specifically focused on MLOps, LLM Orchestration, or Large Scale Distributed Systems.
• Deep fluency in Python (production grade) and Go (preferred for platform services).
• Proven experience deploying RAG (Retrieval Augmented Generation) and Agentic Workflows in production.
• Strong background in Kubernetes (EKS), Docker, and Infrastructure-as-Code (Terraform).
• Solid understanding of OAuth 2.0 (OBO flow), RBAC, and zero-trust networking principles.
• Ability to explain complex technical trade-offs to executive stakeholders.

Nice to have

• Experience implementing Model Context Protocol (MCP) or similar standardized tool interfaces.
• Background in FinOps (managing GPU/Cloud spend).
• Experience navigating highly regulated environments (HIPAA, SOX).

Culture & Benefits

• Robust medical, dental, and vision insurance.
• Generous paid time off policy and up to 18 weeks of paid parental leave.
• 401k, tuition reimbursement, and student loan paydown plans.
• Employee Stock Purchase Plan.
• Free access to hirify.global Digital App and apparel/product discounts.
• Access to mental health services, child care, and family care discounts.

Hiring process

• AI tools are not permitted during any stage of the application and interview process to ensure a fair and equitable evaluation of skills and communication.