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VC-backed metro role, popular Solutions Engineer title, and broad skillset increases competition.
Requires industrial IoT and domain expertise, limiting cross-industry transferability.
Moderate technical and domain requirements without explicit years makes shortlisting moderately strict.
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Own the design and delivery of AI-driven solutions that integrate real-world sensor and system data into actionable insights and automated workflows.
Collaborate closely with Sales, Product, and Engineering teams to provide tailored demos, proofs of concept, and technical advisory to customers.
Lead integration efforts with external systems through APIs, webhooks, and data pipelines, ensuring robust end-to-end solutions from data ingestion to business action.
Experience in domain areas such as renewable energy, automotive, manufacturing, industrial systems, or IoT environments.
Proficiency in programming languages like Python, TypeScript, or JavaScript with strong system design and reliability understanding.
Familiarity with connected systems, sensor ecosystems, real-world data types (signals, logs, time-series), and experience with data pipelines and integrations.
Work Experience Required: Not explicitly mentioned in the JD.
Technical advisor mindset with strong system-level thinking and engineering depth to design and implement end-to-end AI-enabled workflows.
Experienced in translating complex domain workflows and real-world sensor data into actionable automation and intelligence in industrial or connected environments.
Comfortable working at the intersection of domain expertise, engineering, and AI/ML application in industrial or IoT scenarios with demonstrated problem-solving and analytical skills.