AI Operations Associate, Entry Level
Jobright.ai
Join to apply for the AI Operations Associate, Entry Level role at Jobright.ai 2 days ago Be among the first 25 applicants Join to apply for the AI Operations Associate, Entry Level role at Jobright.ai Get AI-powered advice on this job and more exclusive features. Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: Fuel Cycle is a market research disruptor that empowers organizations with agile research solutions through its AI-powered Insights Platform. The AI Operations Associate will be responsible for automating business processes, improving efficiency, and transforming manual workflows into intelligent solutions. Responsibilities:
- Map legacy departmental processes, deconstruct them into modular tasks, and redesign them as AI‑native workflows.
- Document existing workflows and identify bottlenecks
- Break down complex processes into discrete, automatable components
- Architect multi‑agent systems that route tasks, share memory, and increase in quality over time.
- Design agent interaction patterns and communication protocols
- Implement hierarchical agent structures for complex tasks
- Drive continuous improvement of existing workflows and AI culture, eliminating hand‑offs and human intervention.
- Develop reusable libraries, SOPs, and templates to accelerate internal deployment and nurture a culture of agent-first operations.
- Translate complex technical concepts for non‑technical stakeholders and champion an 'agent‑first' culture.
- Develop and manage BI dashboards (Power BI, QuickSight) to track adoption, time saved, error reduction, and ROI.
- Create visualizations for key performance indicators
- Set up automated reporting for stakeholders
- Partner with Product, Research, CX, Finance, and People Ops to surface high‑impact use‑cases and drive adoption.
- Conduct regular discovery sessions with departments
- Prioritize opportunities based on effort/impact analysis.
- 1–3 years in product operations, automation engineering, or AI‑enabled operations.
- Demonstrated success automating workflows and deploying internal AI tools.
- Experience instrumenting and interpreting operational KPIs.
- Strong organizational skills; able to juggle multiple concurrent projects.
- Strong systems‑thinking; can deconstruct processes into automatable tasks.
- Comfortable with Python and demonstrative experience automating workflows.
- Working knowledge of LangChain, LangGraph, RAG, and context engineering.
- Experience with BI/analytics platforms (Power BI, QuickSight).
- Comfortable with low/no‑code orchestration tools.
- Outcome‑focused, adaptable, and energized by rapid prototyping.
$18 per hour
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