Enterprise Architect

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