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Medium: niche Agentic AI focus balanced by mid-level management and broad platform skill requirements.
High because role demands specialized Agentic AI, LLM/RAG, orchestration, and production cloud engineering expertise.
High due to explicit 5+ years management requirement and mandatory hands-on Agentic AI and cloud platform experience.
Lead and scale the AI & Agentic Platform engineering team to deliver production-grade AI and software systems for manufacturing.
Own technical priorities, architecture decisions, and cross-functional collaboration across AI, backend, frontend, data, and cloud infrastructure.
Implement AI governance, evaluation, and observability standards while balancing innovation and delivery speed.
5+ years managing or technically leading a small engineering team.
Strong software engineering and architecture background with hands-on experience building and deploying Agentic AI systems involving RAG, agent orchestration, and workflows.
Bachelor's degree in Engineering or a related technical field.
Experience with cloud-native architectures, DevOps, CI/CD, containers, and observability.
Senior Engineer, Principal Engineer, or Tech Lead background with transition into engineering management retaining strong technical depth.
Experienced in modern AI systems (LLMs, RAG, tool calling), cloud-native microservices architectures, and data pipelines.
Comfortable challenging technical decisions across diverse domains including AI, frontend, backend, data, and cloud infrastructure.