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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:
Distributed Systems, Cloud Architecture, Authentication, Microservices, DevSecOps, AI ML, Api Management, Kubernetes, Docker, Apis, Microsoft Azure AI services, conversational AI, Security, RAG tool calling, chatbots, LLM-based applications, event-driven architecture, CI CD, A2A Agent-to-Agent communication, MCP Model Context Protocol, identity security, Authorization, AI agent frameworks, Generative AI, virtual assistants, enterprise integrations
Skills:
Identity Access Management, Cloud Security, Application Security, Data Security, Security Architecture, Cloud knowledge AWS Azure and their security services, Zero Trust Architecture, AI Security Responsible AI, Cyber Resilience Disaster Recovery, OT Industrial Security, Security Monitoring Threat Detection, Understanding security frameworks and regulatory requirements ISO 27001 NIST Cybersecurity Framework IEC 62443 NIS2 CIS Controls GDPR Zero Trust principles
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:
Metadata Management, Data Governance, Compliance Standards in Life Sciences, Advanced Clinical Analytics Platforms, Real-Time Analytics Architecture, Data Pipelines, Agile Delivery Models, Data Lakes and Warehouses
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