Advanced Project Engr (QWY-055)

Advanced Project Engr (QWY-055)

The key expectation is to combine traditional process engineering expertise with advanced digital and analytical skills to drive efficiency innovation and safety Project domains - Chemical Refinery Petrochemical Oil Gas customers of Honeywell within outside India Active contribution in Project estimation costing developing compliance to customer RFQ Standards managing Project execution teams of Honeywell vendor interface with Honeywell product development as needed during product feature enhancement validation perform customer facing activities such as Progress reviews reporting Expectations in 3D plant modeling Projects In 3D modeling projects which create a digital twin of a plant process engineers are expected to provide the foundational process data and ensure the digital model accurately reflects real-world operational needs Must be aware of process plant interface with data from control systems like DCS and PLCs Data and design authority Generate key documents Provide essential process design documents such as Process Flow Diagrams PFDs and Piping and Instrumentation Diagrams P IDs to guide the 3D layout Validate the model Review and approve the 3D model to ensure the placement of equipment and piping is functionally correct safe and complies with engineering standards Input functional requirements Specify process-critical details like pipe thickness line routing material specifications and instrument placement The 3D model must accommodate factors like flow characteristics and maintenance access Perform simulations Use the 3D model with simulation software to run virtual tests Quality and safety integration Perform clash detection Collaborate with other disciplines e g mechanical civil electrical to automatically or manually identify and resolve clashes in the model The process engineer focuses on issues that could impact process flow or safety Conduct safety studies Utilize the 3D environment to perform studies such as Hazard and Operability HAZOP analysis assessing potential risks in a detailed visual context Drive continuous improvement Use the 3D model to test upgrades and changes to existing plant layouts ensuring they lead to a more efficient and higher-quality process Expectations in AI modeling projects AI projects focus on using plant data to build predictive models that optimize operations The process engineer acts as a subject matter expert who translates operational needs into AI-ready problems and validates the solutions Data management and preparation Ensure data quality Validate the accuracy and completeness of historical and real-time plant data which is critical for training reliable AI models This requires a deep understanding of the plant s sensors and operational history Identify relevant data Determine which process variables and operating conditions are most important for the AI model to track and analyze to achieve a specific goal like predicting equipment failure or optimizing yield Provide process knowledge Use fundamental engineering knowledge to clean and structure data providing context that helps the AI model learn complex process behaviors Model development and application Lead process optimization Collaborate with AI specialists to develop models that recommend optimal operating parameters e g temperature flow rate pressure to improve production efficiency and reduce energy consumption Implement predictive maintenance Work with predictive AI models that analyze sensor data to detect early signs of equipment wear The engineer s role is to act on these predictions by scheduling maintenance to prevent costly downtime Enhance safety and risk management Contribute to AI-powered systems that predict potential process upsets or safety hazards The engineer provides the critical process knowledge necessary to build accurate and reliable safety-related models Validate model results Critically evaluate the output of AI models The engineer must ensure that AI-generated recommendations are practical safe and aligned with core engineering principles Qualification BE B Tech Chemical or Petrochemical or Instrumentation Experience 8 to 10 yrs of experience in process plant Chemical Oil Gas refiner Petrochemical Technical Skills Knowledge of Process simulation OTS will be added advantage Knowledge of AR VR training Simulators will be an added advantage Exposure to distributed control systems DCS and safety instrumented systems SIS as a user configuration integration with simulation Must have experience with Process plant equipment operation Start stop trip shutdown sequence interlocks alarms safety Must have experience in Process Abnormalities management detection prediction recovery procedure guidance implementation Soft Skills Strong interpersonal and communication skills to effectively translate complex technical concepts between process operators engineers from other disciplines and data scientists Data Analytical mindset The willingness to adopt iterative flexible development processes to keep pace with rapid technological advancements Honeywell helps organizations solve the world s most complex challenges in automation the future of aviation and energy transition As a trusted partner we provide actionable solutions and innovation through our Aerospace Technologies Building Automation Energy and Sustainability Solutions and Industrial Automation business segments - powered by our Honeywell Forge software - that help make the world smarter safer and more sustainable

📌 Advanced Project Engr
🏢 Honeywell
📍 Maharashtra

The original job offer can be found in Kit Job:
kitjob.in/job/177743067