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Strong employer brand and metro location but senior, niche role reduces generalist applicant density.
Requires manufacturing domain knowledge and ML platform expertise, reducing cross-industry transferability.
Explicit 13–17 years plus leadership and niche manufacturing/ML platform requirements create strict filters.
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Lead architecture and define technical vision for AI platforms supporting chatbots, agents, and AI-enabled workflows in manufacturing and engineering contexts.
Own platform reliability, scalability, cost management, security, and compliance, including SLIs/SLOs, capacity planning and FinOps.
Lead and mentor engineering teams to develop integrations with manufacturing systems and deliver platform services with CI/CD, observability, and governance.
Master’s/Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
13-17 years of engineering experience building cloud services or developer platforms; 3+ years leading engineering teams or technical programs.
Hands-on experience with Kubernetes, containers, microservices, LLM serving/adjacent model-serving patterns, API gateways, authentication, and FinOps.
Experience with manufacturing technology environments or industrial data platforms is strongly preferred but not explicitly mandatory.
Experienced in manufacturing or industrial technology environments with strong fluency in AI and data platforms.
Proven ability to translate product and business requirements into scalable AI platform capabilities with operational ownership.
Technical leader capable of managing cloud-native distributed systems, integrating manufacturing data sources, and driving platform strategy and delivery with multiple stakeholders.