Job Summary
Key Responsibilities
- Define and lead the enterprise Content Services and AI strategy aligned with business and digital transformation objectives.
- Experience in Architect cloud-native Content Services, ECM, Intelligent Document Processing (IDP), Enterprise Search, and Generative AI solutions.
- Design end-to-end AI-powered content platforms leveraging Azure Foundry, Azure OpenAI, Azure AI Search, Microsoft Copilot, and modern AI frameworks.
- Establish enterprise architecture standards, governance models, security controls, and best practices for content management solutions.
- Design scalable Retrieval-Augmented Generation (RAG), semantic search, vector database, and knowledge management architectures.
- Lead modernization and migration initiatives from legacy ECM platforms to cloud-native Content Services solutions.
- Define integration architectures connecting ECM repositories, business applications, data platforms, APIs, and Microsoft 365 services.
- Ensure compliance with security, privacy, retention, records management, regulatory, and data governance requirements.
- Provide technical leadership for solution design, architecture reviews, technology selection, and implementation roadmaps.
- Collaborate with business stakeholders, product owners, and development teams to identify high-value AI use cases and transformation opportunities.
Drive DevSecOps, automation, observability, scalability, resilience, and operational excellence across Content Services platforms
Skill Requirements
Content Services Technologies
- OpenText Content Server
- Microsoft SharePoint Online
- Microsoft Syntex
- IBM FileNet
- Hyland OnBase
- Documentum
- Box Platform
- M-Files
AI & Machine Learning
- Azure OpenAI Service
- OpenAI GPT Models
- Claude AI
- Google Gemini
- LangChain
- Semantic Kernel
- Vector Databases
- RAG Architecture
- NLP Frameworks
Intelligent Document Processing
- Azure AI Document Intelligence
- ABBYY FlexiCapture
- Kofax
- UiPath Document Understanding
- Intelligent OCR Solutions
Cloud Technologies
- Microsoft Azure
- AWS
- Google Cloud Platform
Data Technologies
- SQL
- Python
- Vector Databases
- Knowledge Graphs
- Elasticsearch
- Azure Cognitive Search
- Pinecone
- Weaviate