Process Engineer
Listed on 2026-06-18
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IT/Tech
AI Engineer (Applied/Software)
Application window closes on 05/29/2026. The posting may be removed earlier if the position is filled or if a sufficient number of applications are received.
OverviewService Supply Chain (SSC) in Global Supply Chain is at the heart of the customer experience. Our mission is to deliver an exceptional customer delivery experience with quality Cisco products, at the right cost, every time. Cisco promotes an all‑inclusive culture where our greatest asset is our people. Join us – Cisco Global Supply Chain Service Supply Chain – a great place to work, learn, and grow.
Meetthe Team
The SSC Artificial Intelligence Team is part of the Central Operations function. We enable seamless operations and provide a foundational structure for collective success by collaborating with business architecture, data analysis, portfolio/PMO, and IT partner organizations to identify, analyze, prioritize, and develop the most impactful AI capabilities for the organization.
Your ImpactAs an AI Process Engineer you will design, implement, and optimize business processes through strategic integration of Artificial Intelligence. You will bridge software engineering and data science to transform manual or legacy workflows into intelligent, automated systems that improve efficiency and scalability.
Responsibilities- Process Architecture:
Design and map end‑to‑end business workflows that leverage AI agents and LLM orchestration to automate complex decision‑making tasks. - Cross‑Functional
Collaboration:
Act as a technical consultant for non‑technical departments to translate business requirements into technical AI specifications. - Optimization:
Identify bottlenecks in current operations and apply AI solutions (e.g., predictive maintenance, automated routing) to reduce operational costs. - Implementation & Integration:
Collaborate with Data Scientists to deploy ML models into production environments, ensuring seamless integration with existing enterprise software and cloud infrastructure. - Performance Monitoring:
Establish KPIs for AI‑driven processes and monitor model drift, latency, and accuracy to ensure continuous improvement. - Ethics & Compliance:
Ensure all AI processes adhere to corporate governance standards, data privacy regulations, and ethical AI guidelines.
- Education:
Bachelor’s or Master’s degree in Computer Science, Industrial Engineering, Data Science, Supply Chain, or a related field. - Experience:
Combined total of 3 years in business process mapping, data analysis, statistical modeling, and machine learning. - Analytical Thinking:
Proficiency in process mapping (BPMN) and data visualization tools. - Communication:
Ability to explain complex AI concepts to stakeholders at all levels of the organization. - Technical Proficiency:
Experience in Python and SQL or other agentic development environments. - Operations Knowledge:
Exposure to MLOps practices, CI/CD pipelines, and cloud platforms (AWS, Azure, or GCP).
- Experience in a high‑tech environment (e.g., Cisco or similar networking/SaaS companies) and/or supply chain or service and support.
- Background in Lean Six Sigma or other process improvement methodologies.
- Ability to work effectively in a fast‑paced, collaborative environment.
- Excellent problem‑solving and critical‑thinking skills.
- Knowledge of cybersecurity protocols related to AI data handling.
- Medical, dental, and vision insurance; 401(k) plan with Cisco matching; paid parental leave.
- Short and long‑term disability coverage; basic life insurance.
- Paid holidays (10 per year) plus floating holiday; birthday, year‑end shutdown, and wellness days.
- Accrued paid vacation (up to 16 days for non‑exempt employees; flexible program for exempt employees).
- 80 hours of sick time upon hire and annually thereafter, with carry‑forward up to 80 hours.
- Optional paid volunteer days (10 per year).
- Eligible for annual bonuses (non‑sales roles) and incentive compensation (sales roles) per Cisco policies.
The starting salary range posted for this position is $ to $ for U.S. and/or Canada locations, excluding incentive compensation, equity, or benefits. Individual pay is determined by location, market…
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