Join our specialized team as an Agent-Based Simulation Engineer. You will empower clients to transform operations using intelligent simulation, Digital Twins, AI, and data-driven insights. Develop sophisticated Agent-Based Simulation (ABS) models that mirror complex systems, including autonomous entities, human behavior, and operational flows across diverse industries like manufacturing, supply chain, logistics, healthcare, and energy. Collaborate within cross-functional teams comprising simulation engineers, solution architects, AI specialists, and business consultants to deliver groundbreaking solutions that enhance operational efficiency, resilience, and overall business outcomes.

- Design and maintain Agent-Based, Discrete Event, and hybrid simulation models to address critical business and operational challenges. - Translate complex client requirements and business processes into effective simulation solutions and experimental designs. - Conduct thorough model verification, validation, calibration, and sensitivity analysis to ensure robust accuracy. - Analyze simulation outputs to derive actionable insights and present them to business and project stakeholders. - Partner with engineering, analytics, AI, and business teams to deliver integrated simulation and Digital Twin solutions. - Adhere to Agile methodologies, engineering standards, and quality assurance practices throughout the development lifecycle. - Develop reusable simulation assets, comprehensive technical documentation, and knowledge management artifacts.

- A minimum of 5 years of dedicated experience in Discrete Event Simulation is essential. - Foundational knowledge in developing and maintaining Agent-Based Simulation (ABS), Discrete Event Simulation (DES), and hybrid simulation models is required. - Proficiency in programming languages such as Python, Java, and SQL, along with a strong understanding of Object-Oriented Programming principles for building scalable and reusable simulation solutions. - Experience in performing model verification, validation, calibration, sensitivity analysis, and optimization to ensure simulation accuracy and reliability. - Familiarity with integrating simulation models with enterprise applications, databases, IoT data streams, and Digital Twin ecosystems. - A 15-year full-time education is a prerequisite for this role. - A continuous learning mindset, with exposure to Digital Twins, AI/ML integration, Operations Research, and emerging simulation technologies is highly valued.