AI Systems Architect, Strategy and Automation Lead at Herbal Goodness

Job Overview

Location
Lagos, FCT
Job Type
Full Time
Date Posted
1 month ago

Additional Details

Job ID
143918
Job Views
40

Job Description






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.



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