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Mid-level AI role with 3–5 years and metro context, but niche RPA/agent skills moderate competition.
AI and RPA skills are transferable, but QMS/manufacturing domain requirements raise background sensitivity to medium.
Explicit 3–5 years plus mandatory AI, RPA, and enterprise integration skills increases shortlisting strictness.
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Design, develop, deploy, and maintain production-ready AI agents and automation workflows addressing operational pain points in Quality Systems.
Integrate AI and automation solutions with enterprise platforms ensuring compliance with AI governance, data privacy, and security standards.
Collaborate with Process Architects and stakeholders to align technical solutions with business processes, conduct testing, monitor performance, and support change management activities.
3–5 years of experience in software/AI engineering, automation, or data science with demonstrated ability to independently deliver AI/automation solutions and enterprise system integration.
Bachelor's Degree in Computer Science, Data Science, Software Engineering, Electrical Engineering, Information Technology, or related technical field; 5+ years practical experience may substitute.
Proficiency with AI frameworks (e.g., Python, LangChain, OpenAI APIs), RPA platforms (e.g., UiPath, Power Automate), and enterprise system integration (e.g., Salesforce, SAP).
Knowledge of AI governance, testing, monitoring methods, and familiarity with Quality Management Systems and standards (ISO 9001 / IATF 16949) preferred.
Experienced in building and deploying AI agents and automation workflows in enterprise Quality Management or manufacturing environments.
Operates effectively at the intersection of AI engineering, automation, and enterprise system integration with strong stakeholder collaboration skills.
Familiar with agile/iterative development, AI validation/testing, and continuous operational improvement cycles.