Job summary A solutions architect for Industry 4 0 develops designs and oversees the implementation of scalable reliable and secure solutions These systems leverage emerging technologies like the Industrial Internet of Things IIoT AI ML and cloud computing to improve efficiency productivity and decision-making for manufacturing operations This role translates business requirements into technical blueprints manages technology integration and provides technical leadership throughout a project s lifecycle Key Responsibilities Solution Architecture Design Develop comprehensive architectural designs for Industry 4 0 solutions including system blueprints data flows and integration diagrams Architect solutions that leverage IIoT Industrial Internet of Things digital twins predictive maintenance and real-time analytics to optimize manufacturing and operational processes Ensure all designs comply with enterprise architecture standards and cybersecurity requirements safeguarding data and system integrity Technology Evaluation and Selection Continuously research emerging technologies and recommend the most suitable technology stack hardware and integration frameworks Align technology choices with client requirements and strategic business objectives ensuring scalability and future-readiness OT IT Integration Oversee the seamless integration of operational technology OT systems such as PLCs Programmable Logic Controllers and SCADA Supervisory Control and Data Acquisition with information technology IT systems like MES Manufacturing Execution Systems ERP Enterprise Resource Planning and cloud platforms Facilitate interoperability between shop-floor automation and enterprise-level systems to enable data-driven decision-making Stakeholder Collaboration Work closely with business leaders engineering teams and operations staff to gather requirements and translate business needs into technical solutions Ensure that proposed solutions are aligned with the client s business goals and operational realities Technical Leadership Provide guidance and mentorship to development teams during solution implementation Conduct technical deep-dives to resolve complex issues and ensure solutions meet high standards for performance security and scalability Project Delivery Execution Lead the technical delivery of Industry 4 0 projects from concept through deployment Collaborate with cross-functional teams including OT IT data engineering and business stakeholders to ensure successful implementation of smart factory and digital transformation initiatives Ensure all solutions comply with relevant regulatory standards e g 21 CFR Part 11 GAMP 5 and industry best practices Client Engagement Advisory Act as a trusted advisor to clients translating business challenges into actionable technical solutions Conduct workshops technical assessments and roadmap planning sessions to guide clients through their digital transformation journey Support pre-sales activities including responding to RFPs RFIs and delivering solution demonstrations Innovation Best Practices Stay up-to-date with the latest advancements in IIoT AI cloud computing and other Industry 4 0 technologies Contribute to the development of reusable frameworks reference architectures and accelerators to drive innovation and efficiency Risk Assessment Identify potential risks and impacts associated with solution implementation Develop and implement mitigation strategies to ensure project success and minimize disruptions Documentation and Governance Create and maintain detailed architectural documents throughout the project lifecycle Contribute to the development and enforcement of IT OT governance frameworks to ensure consistent and secure operations Essential Skills and Qualifications Education Experience Bachelor s or Master s degree in Engineering Computer Science Automation or a related field At least 15 years of experience in manufacturing operations management digital manufacturing or industrial automation Technical Expertise Deep understanding of industry standards such as ISA-95 ISA-88 GMP GxP and manufacturing IT systems Strong knowledge of OT technologies including MES SCADA PLC and HMI Proficiency in cloud platforms Azure AWS etc Proficiency in low-code no-code Industry 4 0 platforms Ignition ThingWorx Tulip etc Familiarity with industrial protocols OPC UA MQTT and edge computing technologies Experience with data architecture including SQL NoSQL databases and real-time data streaming e g Kafka Understanding of IT OT network fundamentals microservices APIs and cybersecurity principles Familiarity with latest technologies such as GenAI Agentic AI etc in the context of Industry 4 0 Manufacturing Domain Knowledge Solid understanding of manufacturing operations including production planning scheduling and quality management processes Analytical Mindset Robust problem-solving and analytical skills to break down complex business problems and translate them into structured technical solutions Soft Skills Excellent communication negotiation and stakeholder management skills for effective interaction with diverse technical and non-technical teams Ability to lead cross-functional teams and present technical concepts to clients and stakeholders Certifications Preferred Certifications such as Azure AWS Solutions Architect and TOGAF or equivalent enterprise architecture certification are highly desirable

📌 Solution Architect.0 (Telangana)
🏢 Cognizant Technology Solutions
📍 Telangana