Project Role : Technology Architect
Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs.
Must have skills : FEA Simulation
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary: We are seeking a Simulation Architect with a deep understanding of how simulation technologies can enable, accelerate, and augment AI systems. This role combines expertise across simulation domains - physics-based, discrete-event, agent-based, and system-level modeling with modern AI methods like ROMs, PINNs, surrogate modeling, and synthetic data generation. You will architect and implement simulation-driven AI pipelines that support predictive analytics, digital twins, and autonomous decision-making in complex engineering and manufacturing environments. Roles & Responsibilities: - Design and orchestrate simulation pipelines that augment AI, including: - Using simulation models in AI pipelines to enhance capabilities. - Generating synthetic training data from simulations. - Validating AI models in virtual testbeds. - Providing ground truth or constraint enforcement via simulation. - Build and deploy Reduced Order Models (ROMs) to approximate high-fidelity simulations for real-time or iterative use in AI workflows. - Develop and integrate Physics-Informed Neural Networks (PINNs) for learning physical behavior from sparse data while preserving physical laws. - Leverage physics-based simulation tools (FEM, CFD, Multiphysics) and combine it with data-driven AI approaches for hybrid modeling. - Enable co-simulation and AI-in-the-loop scenarios across domains (control, structural, thermal, fluid, logistics). - Collaborate with data science, simulation, controls, and software teams to embed AI-ready simulation outputs into system workflows. - Optimize compute performance for simulation+AI pipelines using cloud-native infrastructure (GPU clusters, containers, batch workflows). - Contribute to the design and validation of AI-augmented Digital Twins, including behavioral, physical, and predictive models. - Champion co-simulation architectures, surrogate modeling, and tool integration across commercial software (ANSYS, COMSOL, Abaqus) and scripting environments (Python, MATLAB, Modelica). - Provide technical leadership and mentorship, guiding engineering teams in scalable simulation, best practices and architectural patterns suited for fusion of Simulation and AI domains. - Actively lead and participate in sales pursuits and pre-sales engagements, with responsibility for new project wins. This will involve multiple discussions and presentation of our capability and solutions to potential clients and other Accenture stakeholders/ leader. - Active participation and leadership in driving industry related thought leadership activities like patents, authoring whitepapers/ POVs, proof of concepts, conference/ academia presentations, capability presentations etc. - Work with global clients and cross-functional teams in a multicultural and distributed environment. Professional & Technical Skills: Must have Skills: - Strong experience with one or more simulation paradigms: - Physics-based simulations (e.g., ANSYS, COMSOL, Simcenter) - Discrete-event simulation (e.g., Simio, JaamSim, AnyLogic) - Agent-based or system-level modeling (e.g., NetLogo, Simulink, Modelica) - Proficiency in developing Reduced Order Models (POD, DMD, Autoencoder-based) and deploying them for fast inference. - Experience implementing or applying PINNs using frameworks like NVIDIA Modulus, DeepXDE, or custom architecture. - Skilled in Python and common ML frameworks (PyTorch, TensorFlow, scikit-learn), with solid understanding of numerical methods and differential equations. - Strong foundation in applied physics, engineering mathematics, or control systems. - Experience of developing AI applications in digital twins, design optimization, or predictive maintenance. - Cloud engineering background, including automation, orchestration, and deployment of simulation pipelines in scalable environments. - Experience with manufacturing, industrial automation, automotive, or aerospace sectors. Good to Have Skills: - Familiarity with hybrid modeling (first principles + data-driven). - Background in digital twin development for factory planning, robotics simulation, or predictive maintenance - Familiarity with FMI/FMU, OpenModelica, OpenUSD, or robotics simulation standards. - Exposure to AI/ML-driven simulation workflows, Physics-informed ML, surrogate modeling, generative AI tools for model generation and behavior prediction. Additional Info: - This position is based at Bengaluru, Pune - Candidate should have a minimum 7 years of Industry Experience - Bachelor's or master's in engineering, Physics, Applied Mathematics, or related; PhD preferred.

15 years full time education

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Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

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