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Sr. Director of AI Infrastructure

2 weeks ago
United States
Full-time
Lead
AI Engineer
DevOps and Infrastructure
AWS Docker Git Microservices REST API
Apply Now

ARMRA®

ARMRA sells bovine colostrum products under the ARMRA Colostrum™ brand, marketed as a whole-food wellness product for gut, immune health, metabolism, fitness performance, skin, and hair.

Retail Health and Personal Care Products
51-200
Founded 2020
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Description

  • Own and continuously develop the integration architecture connecting e-commerce, retail, marketing, finance, operations, and customer experience systems.
  • Build, maintain, and extend middleware and API integrations that allow AI agents to execute business actions across systems.
  • Assess, enhance, and expand the centralized data architecture for real-time inference, business intelligence, unified reporting, and AI-driven decision-making.
  • Establish and enforce enterprise-wide standards for API security, latency, and throughput.
  • Own pipeline reliability, monitoring, and documentation, and rebuild fragile systems as needed.
  • Evaluate and recommend new tools, connectors, and platforms based on governance and integration feasibility.
  • Architect, deploy, and optimize AWS environments for performance, reliability, cost efficiency, and scalability.
  • Deploy and manage production AI systems, including LLM API integrations, workflow automation, and agentic AI workflows.
  • Build and extend agentic AI systems with clear boundaries, monitoring, guardrails, and human handoff protocols.
  • Own the technical side of AI governance, compliance, retention enforcement, deletion workflows, and audit trails.
  • Partner with Legal, Compliance, and IT to align AI infrastructure decisions with privacy, security, and broader technology standards.
  • Advise executive leadership on AI architecture, investment trade-offs, capability planning, and automation opportunities.

Requirements

  • 8–12+ years of experience in infrastructure engineering, solutions architecture, or a principal/lead technical role.
  • Direct experience building and scaling enterprise-scale integration systems in CPG, consumer brands, or omnichannel retail environments.
  • Strong hands-on experience with AWS.
  • Experience architecting and managing cloud-native environments for production API services.
  • Deep experience with REST APIs, webhooks, middleware design, and data pipeline architecture.
  • Direct experience deploying and managing LLM-powered systems in production.
  • Experience with business intelligence infrastructure, including data warehousing, unified reporting, and cross-departmental analytics.
  • Strong understanding of data governance, privacy compliance, and security best practices for handling customer PII.
  • Ability to lead complex technical initiatives with cross-departmental and executive stakeholder alignment.
  • Strong documentation habits and comfort working autonomously in a fast-paced, remote environment.
  • Preferred: Hands-on experience with LLM APIs and building agentic AI systems in production.
  • Preferred: Background in CX platforms, e-commerce infrastructure, or retail technology systems.
  • Preferred: Experience with Docker and orchestration for AI microservices.
  • Preferred: Familiarity with emerging AI integration standards and protocols.
  • Preferred: Experience with data warehousing platforms and modern ETL/ELT tools.
  • Preferred: Experience building internal tools or dashboards for non-technical users.

Benefits

  • Full-time remote role.
  • Monday-Friday schedule, 9 am - 6 pm EST.
  • Equal opportunity employer with consideration provided without regard to protected characteristics.

Interested in this position?

Apply directly on the company website

Apply Now

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