Job
Description
Architecture & Solution Design: Define and develop the overall enterprise architecture for AI-based supply chain software solutions. Design scalable, secure, and high-performance system architectures that integrate AI, data analytics, and automation. Ensure alignment of technology architecture with business objectives and digital transformation goals . Drive cloud-based (AWS, Azure, GCP) architecture strategies and ensure optimal infrastructure scalability. Develop integration frameworks to connect ERP, WMS, TMS, IoT, and other supply chain systems . Resource Planning & Budgeting: Define and manage the technology resource plan , including infrastructure, cloud services, and software licenses. Estimate and track project budgets for system architecture, software development, and AI/ML implementations. Ensure cost-effective cloud infrastructure use ( AWS, Azure, GCP ) and recommend cost optimization strategies . Forecast and manage resource allocation , ensuring the right skills and capacity are available for project execution. Work with finance teams to align IT budgets with business objectives , ensuring maximum ROI. AI & Data Strategy: Define the strategy for incorporating AI/ML models into supply chain planning, forecasting, and optimization. Work closely with data scientists to design and implement AI/ML pipelines. Ensure data governance, quality, and security across distributed systems. Develop predictive models for demand forecasting, inventory management, and logistics optimization . Technology Leadership & Execution: Collaborate with product management, software development, and data teams to define technical roadmaps. Establish best practices for software development, microservices architecture, DevOps, and CI/CD pipelines . Drive modular and API-driven architecture for seamless integrations with third-party platforms. Evaluate emerging technologies (AI, Blockchain, IoT, Digital Twins) and recommend adoption strategies. Stakeholder & Team Collaboration: Act as a bridge between business and technology teams , ensuring alignment on technical decisions. Work closely with clients, partners, and vendors to define system requirements and architecture. Provide architectural guidance to development teams , ensuring adherence to standards. Lead architecture governance, ensuring compliance with security, performance, and regulatory requirements . Performance Optimization & Risk Management: Identify and mitigate technology risks , ensuring system reliability and fault tolerance. Optimize system performance, ensuring high availability and resilience. Develop disaster recovery and business continuity strategies . Required Qualifications: Bachelor's/masters degree in computer science, Information Systems, or a related field . 10+ years of experience in enterprise or system architecture, with a focus on supply chain software solutions. Expertise in AI/ML, cloud computing, big data, and enterprise integration frameworks . Strong experience in microservices, event-driven architecture, and API development . Hands-on experience with ERP, WMS, TMS, and supply chain management platforms . Knowledge of DevOps, CI/CD, containerization (Docker, Kubernetes) . Proficiency in programming languages like Python, Java, or Node.js . Familiarity with AI/ML frameworks like TensorFlow, PyTorch, Scikit-learn . Strong analytical and problem-solving skills. Excellent communication, leadership, and stakeholder management skills. Preferred Qualifications: Experience in digital transformation initiatives within supply chain operations. Certification in TOGAF, AWS Solutions Architect, or similar enterprise architecture frameworks . Exposure to blockchain, IoT, and digital twin solutions for supply chain optimization. Role & responsibilities Preferred candidate profile Perks and benefits
