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Digital Twin Modeling Architect (Model-First / Pre-Infrastructure)

Sustainability Economics.ai

2 - 5 years

Bengaluru

Posted: 05/02/2026

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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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