Head of Engineering – Industrial AI SaaS

Head of Engineering – Industrial AI SaaS

About Tvarit:

Tvarit GmbH is a European VC-backed Industrial AI startup focused on reducing manufacturing waste by optimizing industrial processes through advanced AI solutions. Tvarits deep-tech helps reduce waste and energy consumption for metal (Die Casting LPDC/HPDC, Steel) and process industries (Food & Beverage, Agrochemicals). Our "TiA" (Tvarit Industrial AI) platform bridges the gap between material science and data science, helping global manufacturers achieve zero-waste production.

What we’re looking for? We are seeking a techno-functional leader to drive our Industrial AI vision someone who combines deep engineering expertise with domain knowledge in metallurgy, casting, and manufacturing processes. This is a Head level role, responsible for defining the technology vision, product architecture, and Industrial AI strategy. You will lead the development of a scalable Industrial AI platform (TiA) that integrates high-frequency shop-floor data, advanced analytics, and intelligent decision systems across multi-cloud environments.

What be you’ll delivering here? Technology Vision & Roadmap- Define and drive the end-to-end technology roadmap for the TiA platform, aligning Industrial AI strategy with scalable, secure, and future-ready architecture.

Architecture Ownership- Own and evolve the complete system architecture (backend, frontend, data, and AI layers), ensuring seamless integration between backend (Python/Node.js), frontend (React), and data pipelines (Databricks) into robustness for high-frequency industrial data.

Platform Scalability & Performance

- Build a highly scalable, resilient, and low-latency platform capable of processing real-time shop-floor data across distributed environments.

Industrial AI Integration

- Translate metallurgy and casting domain insights into deployable AI solutions, ensuring models are grounded in real-world process parameters and operational realities.

Full-Stack Engineering Leadership

- Provide hands-on leadership across full-stack development, driving excellence in system design, APIs, UI performance, and secure engineering practices.

AI/ML & MLOps Enablement -Establish robust MLOps infrastructure, enabling seamless deployment, monitoring, and scaling of machine learning models in production environments.

Cloud & Data Strategy (AWS & Azure)- Architect and manage multi-cloud infrastructure, leading data strategy, streaming pipelines, and lakehouse architecture for large-scale industrial datasets.

Execution & Engineering Excellence -Own the end-to-end delivery (SDLC) of the TiA platform, building high-performing teams and ensuring timely, high-quality releases with a strong culture of ownership and innovation.

Must-Have Skills & Experience Experience: 10–15+ years in software engineering with 5+ years in senior leadership roles (Head/VP/CTO level),with experience in Manufacturing, IIoT, or Industry 4.0 sectors. Familiarity with industrial protocols (OPC UA, MQTT). Domain Expertise: Strong understanding of metallurgy, casting, or metal manufacturing processes Full-Stack Expertise: Deep architectural knowledge of: Backend: Python, Node.js Frontend: React or modern frameworks Industrial AI Exposure: Experience building or scaling AI-driven industrial platforms Cloud & Big Data: Hands-on experience with: AWS & Azure Databricks / real-time data pipelines MLOps Understanding: Strong grasp of model deployment, inference pipelines, and production AI systems Data Systems: Experience with time-series, SQL, and NoSQL databases

Education (Mandatory) Bachelor’s / Master’s / PhD in Engineering from Indian Institutes of Technology (IITs) is mandatory Specialization in Metallurgy, Materials Science, Computer Science, or related disciplines Strong academic foundation combined with applied industrial or product engineering experience.

Good to Have Experience in foundries, steel, or metal casting industries Exposure to Industry 4.0 / Smart Factory ecosystems Familiarity with digital twins, predictive maintenance, or process optimization Prior experience in a SaaS or deep-tech startup environment

To apply, please click the link below https://tvarit.keka.com/careers/applyjob/5453 or share your profile at

soumya.sahadevan@ext.tvarit.com