AI Systems Architect, Strategy and Automation Lead
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Job Description
AI Automation & Strategy Lead driving AI initiatives at Herbal Goodness. Overseeing workflows, automation, and data strategy to enhance operational efficiency.
Responsibilities:
- 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.
- 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.
- 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.
- 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.
- Build and maintain advanced AI workflows using: LangChain or LlamaIndex, Retrieval-Augmented Generation (RAG) pipelines, Vector databases such as Pinecone, Weaviate, or Supabase.
- Lead API integrations between internal and external systems.
- Implement automations using: Webhooks and REST architectures, Python scripting for automation, Workflow orchestration tools.
- Support containerized and scalable deployments using Docker or similar tools.
- Evaluate infrastructure requirements for reliability and scalability of internal tools.
- Ensure data integrity, security, and responsible use of AI.
- Implement access controls, auditability, and accountability in automated systems.
- 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.
Requirements:
- 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.
- 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.
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