Herbal Goodness is a manufacturer of premium quality, unique, organic, non-GMO superfoods, and herbal products to support healthy living and impact lives. Founded in 2013, the company excels in the botanical and natural supplements industry and manufactures product lines such as Herbal Teas, Supplements, Extracts, Essential Oils, Smoothies, and Juices. The company is unique in its values of Quality, Sustainability, and Impact. 100% women and minority-owned, Herbal Goodness believes in Business for social good. We donate 10% of our profits to promote the education of girls.
We are recruiting to fill the position below:
Job Title: AI Systems Architect, Strategy and Automation Lead
Location: Abuja (Remote)
Employment Type: Full-Time
Reports Directly to: The CEO
Department: Technology & IT
Position Overview
We are seeking a highly experienced AI Automation & Strategy Lead to drive the company’s end-to-end artificial intelligence, automation, and data strategy.
This individual will architect and implement agentic and sub-agent workflows across the organization, build AI-driven systems to improve operational efficiency and reporting, and lead adoption of AI tools and best practices company-wide.
This role combines strategy, systems architecture, and hands-on implementation. The successful candidate will play a central role in building our internal technology capabilities and shaping the future of how Herbal Goodness operates.
Key Responsibilities
AI & Automation Strategy:
Develop and lead the company’s AI and automation roadmap aligned with business goals.
Identify opportunities to streamline workflows, improve decision-making, and reduce operational friction through AI.
Drive adoption of AI tools and workflows across departments, including training and change management.
Establish AI standards, governance frameworks, and playbooks across the organization.
Workflow Design & Implementation:
Design and implement agentic and sub-agent workflows across key business processes.
Build and maintain automations using platforms such as n8n, Make, Zapier, and Claude Code.
Lead business process mapping and redesign initiatives to ensure workflows are optimized prior to automation.
AI Systems, ERP & Reporting:
Architect and build AI-driven ERP and operational systems to support workflow automation, reporting, and analytics.
Create dashboards and reporting systems to support executive and operational decision-making.
Build internal dashboards and reporting pipelines using Looker Studio and related tools.
Data, Databases Tools & Analytics
Design and manage structured databases, data environments and reporting pipelines.
Work with tools and systems including:
Notion databases
Snowflake
Google BigQuery
Looker Studio
Develop analytics models and forecasting tools where appropriate.
AI & Agent Infrastructure:
Build and maintain advanced AI workflows using:
LangChain or LlamaIndex
Retrieval-Augmented Generation (RAG) pipelines
Vector databases such as Pinecone, Weaviate, or Supabase
Automation & Integration:
Lead API integrations between internal and external systems.
Implement automations using:
Webhooks and REST architectures
Python scripting for automation
Workflow orchestration tools
Infrastructure & Deployment:
Support containerized and scalable deployments using Docker or similar tools.
Evaluate infrastructure requirements for reliability and scalability of internal tools.
Governance, Security & Ethics:
Ensure data integrity, security, and responsible use of AI.
Implement access controls, auditability, and accountability in automated systems.
Strategic Leadership Responsibilities:
Establish AI standards and operational playbooks across the organization.
Evaluate vendors and select best-in-class tools and platforms.
Build internal knowledge by training teams and enabling adoption.
Develop and maintain a long-term data architecture strategy.
Qualifications
Required Qualifications:
Significant experience in AI automation, workflow orchestration, or systems engineering.
Deep expertise in API integrations and automation tools.
Experience building production-grade automation or data systems.
Strong knowledge of data analytics, reporting, and dashboards.
Experience evaluating and implementing emerging AI technologies.
Excellent problem-solving, communication, and systems-thinking skills.
Preferred Qualifications:
Experience building AI systems, Agentic workflows, ERP, or internal operational systems.
Experience building reporting dashboards that use Ai for data analytics and synthesis.
Background in supply chain, manufacturing, or CPG operations is a plus.
Experience implementing AI governance or data governance frameworks.
Key Attributes:
Strategic thinker with strong execution capability.
Highly organized and process-driven.
Curious, proactive, and forward-looking.
Strong ownership mindset and accountability.
Primary Initial Goals:
Build agentic tools to support core workflows.
Map and redesign key company processes.
Develop executive dashboards and operational reporting systems.