AI Automation Specialist

RicohParsippany, NJ
4h

About The Position

We are seeking an AI Specialist who can partner with our Content Management (CM) team to analyze workflows, identify automation opportunities, and deliver AI-driven recommendations and prototypes. we’re looking for someone who brings strong foundational AI development skills and can translate business problems into practical, measurable AI solutions.

Requirements

  • 1–2 years hands‑on experience in applied AI/ML, NLP, or intelligent automation.
  • Bachelor’s degree in Computer Science, Data Science, Engineering, or related field, or equivalent hands‑on experience.
  • experience with using generative models (ChatGPT, Gemini) for content, coding assistants (GitHub Copilot), and design platforms (Midjourney, Canva). .
  • Experience maintaining or using a centralized content library or knowledge base.
  • Experience building POCs or AI-driven automations using Python.
  • Familiarity with LLM tooling (OpenAI/Azure OpenAI, Hugging Face, LangChain, etc.).
  • Understanding of prompt engineering concepts, embeddings, vector search, or RAG patterns.
  • Ability to break down business problems and propose AI solutions.
  • Strong communication and analytical skills.

Nice To Haves

  • Experience with workflow automation tools (e.g., Power Automate, Logic Apps, or similar).
  • Exposure to document processing (OCR, metadata extraction, classification).
  • Experience evaluating AI model performance.

Responsibilities

  • Develop automation scripts or API-based solutions to improve CM workflows.
  • Assess current CM processes (e.g., tagging, metadata management, routing, quality checks, intake workflows).
  • Produce clear, actionable AI recommendations with defined success metrics and ROI impact.
  • Create automation roadmaps based on team needs and feasibility.
  • Implement and operationalize solutions such as: Auto-tagging Smart routing Content similarity detection Summarization or quality validation
  • Partner with engineering or workflow teams to integrate prototypes into production.
  • Define measurable benchmarks for AI model performance.
  • Conduct tests, compare model performance, and iterate based on feedback.
  • Work closely with CM stakeholders to understand challenges and gather requirements.
  • Present prototypes, findings, and recommendations to non‑technical partners.
  • Facilitate user testing and incorporate insights into improvements.
  • Document prompts, workflows, pipeline logic, and decision criteria.
  • Create simple guides or reusable patterns for future AI use cases.

Benefits

  • Choose from a broad selection of medical, dental, life, and disability insurance options.
  • Contribute to your financial security with Retirement Savings Plan (401K), Health Savings Account (HSA), and Flexible Spending Account (FSA) investments.
  • Augment your education with team member tuition assistance programs.
  • Enjoy paid vacation time and paid holidays annually
  • Tap into many other benefits to enhance your health, wellness, and ongoing personal and professional development.
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