Digital Twin Modeling Architect (Model-First / Pre-Infrastructure)
Sustainability Economics.ai
2 - 5 years
Bengaluru
Posted: 29/01/2026
Job Description
Location: Bengaluru, Karnataka
Note: This role focuses onmodel-first digital twin developmentand doesnot require existing
- infrastructure, IoT devices, or live telemetry.
About the Company:
Sustainability Economics.ai is a global organization, pioneering the convergence of clean energy
and AI, enabling profitable energy transitions while powering end-to-end AI infrastructure. By
integrating AI-driven cloud solutions with sustainable energy, we create scalable, intelligent
ecosystems that drive efficiency, innovation, and long-term impact across industries. Guided by
exceptional leaders and visionaries with decades of expertise in finance, policy, technology, and
innovation, we are committed to making long-term efforts to fulfil this vision through our
technical innovation, client services, expertise, and capability expansion.
Role Summary:
We are seeking aDigital Twin Modeling Architect to design and developmodel-first digital
twins , where complex systems areconceptualized, simulated, and validated before any
physical infrastructure or live telemetry exists .
This role focuses onsystem modeling, simulation, and scenario analysis to support early-stage
design, capacity planning, risk assessment, and optimization. The models developed in this role
will later evolve into full digital twins as real-world infrastructure and data pipelines are
deployed.
Key Tasks & Accountability:
Conceptualize Design and develop system-level and component-level digital models
from first principles
Create simulation-driven representations of infrastructure, assets, or processes without
relying on live data
Define and document assumptions, constraints, boundary conditions, and operating
envelopes
Perform capacity planning, load analysis, stress testing, and failure simulations
Conduct what-if analysis and design trade-off studies to support decision-making
Validate models using synthetic, proxy, or historical datasets
Ensure models are scalable and extensible for future integration with real-time dataCollaborate with product, engineering, data, and domain teams during early design and
planning phases
Maintain high standards of model accuracy, clarity, and documentation.
Tools & Software
3D modeling, CAD, or BIM tools for system layouts and spatial representation
3D scene composition frameworks (e.g., NVIDIA Omniverse) supporting OpenUSD,
materials, lighting, and animation
Simulation engines for time-based, event-driven, or physics-informed modeling
System modeling tools (system dynamics, discrete-event, agent-based)
Python and/or scripting languages for modular models, automation, and integration
Notebook environments (e.g., Jupyter) for prototyping, testing, and analysis
Support for 3D and structured data formats (meshes, point clouds, CAD/BIM imports)
Version control and collaboration platforms for model assets, code, and assumptions
What You'll Do
Build Model-First Digital Twins: Create digital models that represent real-world
systems before infrastructure exists
Run Simulations & Scenarios: Simulate performance, capacity, degradation, and failure
modes under different conditions
Support Design Decisions: Provide quantitative insights to guide architecture, sizing,
and optimization choices
Work with Synthetic Data: Generate and use synthetic or proxy datasets to validate
models
Collaborate Cross-Functionally: Work closely with engineering, product, and domain
experts to align models with real-world needs
Prepare for Future Twins: Ensure models are designed to transition smoothly into live
digital twins once data becomes available
What you will bring
Strong expertise in system thinking, abstraction, and simulation-driven design
Proven ability to model complex systems without relying on physical infrastructure
Comfort working in ambiguous, pre-deployment environments
A structured, methodical approach to problem-solving
Curiosity, technical depth, and a passion for building high-impact, future-ready systems
Startup DNA bias to action, comfort with ambiguity, love for fast iteration, and
flexible and growth mindset.
Why Join Us
Shape afirst-of-its-kind AI + clean energy platform .
Work with a small, mission-driven team obsessed with impact.
An aggressive growth path.
A chance to leave your mark at the intersection ofAI, design, and sustainability .
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