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Job Overview
As an Enterprise Architect, you will lead the design and implementation of a robust enterprise-wide architecture strategy, aligning IT and business objectives. The role requires a deep understanding of industry best practices, including TOGAF architectural principles, and a proactive approach to ensuring technology investments deliver measurable business outcomes. You will oversee the organization's digital transformation journey, focusing on scalability, performance, security, and innovation.
Key Responsibilities
1. Architectural Strategy & Framework Development
2. Technology Evaluation & Adoption
3. Solution Design & Delivery
4. Governance & Compliance
5. Stakeholder Collaboration & Communication
6. Performance Optimization & Continuous Improvement
7. Talent Development & Mentorship
Key Result Areas (KRAs)
Qualifications
Education
Experience
Certifications
Skills & Expertise
Enterprise Best Practices Emphasized in This Role
Job ID: 116666133
Skills:
Tensorflow, Nlp, Pytorch, Python, CrewAI, LangChain, deep learning frameworks, vector databases, AI services on AWS, Pinecone, prompt engineering, Autogen, embedding techniques, Chroma, Milvus, fine-tuning LLMs, RAG architectures
Skills:
Virtualization and Container Platforms, Architectural Frameworks Methodologies, Observability and Monitoring, Enterprise Architecture Management EAM, Backup Recovery and Business Continuity, Workplace and End User Services, Infrastructure Automation, Enterprise Networks and Connectivity, Data Center Technologies, Server Compute and Storage Platforms, Cloud Platforms and Services, Platform Engineering
Skills:
containerization , Ml, Agile, Microservices, Devops, Togaf, Cloud Computing, Apis, Enterprise Architecture frameworks, EA repositories, Data-driven systems, Ai, Gartner EA, interoperability, DevOps toolchains, ITSM tools, zachman, Technology Reusability, Cloud-native architectures, Data Privacy Security, Business Continuity
Skills:
Enterprise Architecture, Togaf, Stakeholder Management, Technology Transformation, Program Leadership
Skills:
containerization , Tensorflow, Pytorch, Docker, MLops, Python Programming, Rest Apis, Kubernetes, Prompt engineering, RAG pipeline design, vector databases, Productionizing GenAI applications, Azure OpenAI, LangGraph, Productionization, Enterprise AI GenAI Architecture, Governance Responsible AI, Azure AI ecosystem, monitoring systems, Agentic AI RAG Implementation, CrewAI, LLM optimization, Agentic AI frameworks, Scikit-learn, Semantic Kernel, AutoGen, microservices architecture, ML frameworks, AIOps principles