Technology Architect

 About The Role  

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 :NAMinimum
7.5 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.
 Qualification 
15 years full time education