Solution Architect

Quest Global; Bengaluru; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

Quest Global in Bengaluru, India seeks a senior architect to lead the Digital Twin Simulation Platform for autonomous medical imaging workflows.

You will define scalable architecture, integrate AI/ML pipelines, and collaborate across product, clinical, and engineering teams while ensuring regulatory compliance and robust data governance.

Qualifications

• Bachelor’s or Master’s degree in CS/engineering or related field.
• 12+ years software engineering with at least 5 years in architecture or technical leadership roles.
• Experience with NVIDIA Omniverse.
• Proven design of large-scale Digital Twin, Simulation, or Virtual Environment platforms.
• Strong software architecture, distributed systems, microservices, API-driven design, and cloud-native apps.
• Strong Python programming.
• Experience with 3D simulation, computer graphics, rendering engines, and physics-based modelling.
• Experience with Agile and DevOps practices.
• Excellent communication, stakeholder management, and problem-solving skills.
• Ability to influence technical decisions across multiple engineering teams and drive cross-functional collaboration.

Responsibilities

• Lead the architecture, design, and technical strategy for a Digital Twin Simulation Platform.
• Define and govern the overall platform architecture for scalability, extensibility, performance, security, and maintainability.
• Architect simulation frameworks for Virtual Patient Avatars and anatomically accurate models.
• Design and oversee clinically relevant Examination Room Environments that replicate imaging workflows.
• Develop architecture for digital representations of Medical Imaging Equipment and Instrumentation.
• Define simulation workflows for end-to-end radiology procedures and autonomous imaging operations.
• Establish data generation, annotation workflows, and dataset governance.
• Collaborate with AI/ML teams to support model training, validation, benchmarking, and evaluation.
• Drive integration between simulation platforms, imaging apps, AI/ML pipelines, and cloud data platforms.
• Define architecture standards, design patterns, and best practices for simulation and digital twins.
• Evaluate tools and platforms like NVIDIA Omniverse, Unreal, Unity, Azure etc.
• Collaborate with product, clinical experts, imaging scientists, and engineers
• Mentor engineering teams and provide technical leadership throughout the lifecycle.
• Ensure compliance with healthcare regulations and data privacy.
• Participate in architecture reviews, risk assessments, and strategic planning.

Skills

Python programming

Distributed systems

Microservices

API design

Cloud-native apps

3D simulation

Computer graphics

Rendering engines

DevOps practices

Agile methodologies

Communication skills

Stakeholder management

Education

Bachelor’s or Master’s degree in CS/Engineering or related field

Tools

NVIDIA Omniverse

Nvidia Cosmos

TensorFlow

PyTorch

Job description

At Quest Global, it’s not just what we do but how and why we do it that makes us different. With over 25 years as an engineering services provider, we believe in the power of doing things differently to make the impossible possible. Our people are driven by the desire to make the world a better place—to make a positive difference that contributes to a brighter future. We bring together technologies and industries, alongside the contributions of diverse individuals who are empowered by an intentional workplace culture, to solve problems better and faster.

Key Responsibilities

• Lead the architecture, design, and technical strategy for a Digital Twin Simulation Platform that accelerates the development and validation of Autonomous medical imaging workflow.
• Define and govern the overall platform architecture, ensuring scalability, extensibility, performance, security, and maintainability.
• Architect simulation frameworks for the development of Virtual Patient Avatars, including anatomically accurate synthetic patient models representing diverse patient populations and clinical conditions.
• Design and oversee the creation of clinically relevant Examination Room Environments that accurately replicate real-world medical imaging workflows and operational scenarios.
• Develop architecture for digital representations of Medical Imaging Equipment and Instrumentation, including medical imaging systems, detectors, sensors, positioning systems, and related components.
• Define simulation workflows that replicate end-to-end radiology procedures, patient positioning, image acquisition workflows, and autonomous imaging operations.
• Establish frameworks for synthetic data generation, annotation workflows, metadata management, labelling strategies, and dataset governance.
• Collaborate with AI/ML teams to ensure simulation assets and synthetic datasets support model training, validation, benchmarking, and performance evaluation.
• Drive integration between simulation platforms, imaging applications, AI/ML pipelines, and cloud-based data platforms.
• Define architecture standards, design patterns, and best practices for simulation, visualization, and digital twin technologies.
• Perform technology evaluations and recommend tools, frameworks, and platforms such as NVIDIA Omniverse, Unreal Engine, Unity, Azure, and related simulation ecosystems.
• Collaborate closely with product management, clinical experts, imaging scientists, software engineering teams, and business stakeholders
• Mentor engineering teams and provide technical leadership throughout the solution lifecycle.
• Ensure compliance with healthcare regulations, privacy requirements, and industry standards related to medical imaging and healthcare data management.
• Participate in architecture reviews, risk assessments, technical roadmap planning, and strategic decision-making activities.

Required Skills

• Bachelor's or Master's degree in Computer Science, Biomedical Engineering, Computer Engineering, Medical Physics, Robotics, Simulation Technologies, or a related field.
• 12+ years of software engineering experience with at least 5 years in Architecture or Technical Leadership roles.
• Experience with NVIDIA Omniverse.
• Proven experience in designing and implementing large‑scale Digital Twin, Simulation, or Virtual Environment platforms.
• Strong expertise in software architecture, distributed systems, microservices, API‑driven design, and cloud‑native applications.
• Strong programming experience in Python, and modern software development practices.
• Experience with 3D simulation, computer graphics, rendering engines, and physics‑based modelling.
• Experience with Agile development methodologies and DevOps practices.
• Excellent communication, stakeholder management, and problem‑solving skills.
• Ability to influence technical decisions across multiple engineering teams and drive cross‑functional collaboration.

Desired Skills

• Knowledge of medical imaging systems and healthcare standards including DICOM, HL7, and IHE.
• Experience architecting synthetic data generation solutions and AI/ML enablement platforms.
• Strong understanding of data governance, metadata management, annotation frameworks, and dataset lifecycle management.
• Experience with Nvidia Cosmos.
• Experience in Medical Devices, Healthcare Imaging, Autonomous Systems, Robotics, or Industrial Digital Twin solutions.
• Understanding of imaging acquisition workflows, detector technologies, and radiology operations.
• Experience with AI/ML frameworks such as TensorFlow, PyTorch, OpenCV, and Computer Vision technologies.
• Knowledge of cloud platforms including Microsoft Azure, AWS, or Google Cloud.
• Experience with synthetic patient modelling, anatomical simulation, and procedural workflow simulation.
• Familiarity with healthcare compliance standards and regulations.
• Ability to evaluate emerging simulation and digital twin technologies and incorporate them into long‑term architecture strategy.

Domain Experience

• Medical Imaging
• Healthcare Technology
• Digital Twin Platforms
• Simulation & Visualisation
• Autonomous Imaging Systems
• AI/ML and Synthetic Data Generation

15+ Years Total Experience

5+ Years in Solution/Technical Architecture Roles