Sr. Manager, Technical Architect – Enterprise AI Solutions
Tasks
- Architect AI powered copilots and workflow automation
- Build secure enterprise AI integrations
- Define enterprise AI architecture standards
- Design APIs microservices and AI orchestration frameworks
- Design RAG architectures and vector databases
- Design scalable AI platforms
- Design scalable AI/ML pipelines
- Ensure AI platform reliability scalability and security
- Establish AI governance for security compliance and model lifecycle
- Evaluate and optimize LLM performance cost and scalability
- Identify high-value AI use cases
- Implement MLOps and LLMOps with CI CD monitoring observability
- Implement enterprise generative AI solutions
- Implement prompt engineering frameworks
- Integrate AI capabilities into enterprise applications
- Lead end to end deployment of enterprise AI solutions
- Lead vendor evaluations and proof of concepts
- Mentor AI engineers and solution architects
- Support cloud native AI deployments
Perks/Benefits
Skills/Tech-stack
AI Services | AI orchestration | API Integration | Anthropic Claude | Azure AI | Azure AI Services | CI/CD | Copilot Studio | Databricks | Distributed Systems | Docker | Dynamics 365 | Enterprise Architecture | Generative AI | Google Gemini | Kubernetes | LLMOps | Langchain | Language Models | Large Language Models | MLOps | Machine Learning | Microservices | Microsoft 365 | Microsoft Copilot | Microsoft Copilot Studio | Microsoft Dynamics | Microsoft Dynamics 365 | Model Governance | Monitoring | Observability | OpenAI | Power Platform | Prompt engineering | PyTorch | Python | RAG | Retrieval-Augmented Generation | SAP S4HANA | SQL | Salesforce | Scikit-learn | Semantic Kernel | Spark | TensorFlow | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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