GEN AI Solution Architect
Tasks
- Collaborate with integration teams for delivery across structured and unstructured data
- Define prompt lifecycle management observability and governance
- Design LLM and agentic automation workflows
- Enable LLMOps and agentic ops capabilities
- Identify and shape AI use cases for operational automation
- Implement API driven integrations for AI solution delivery
- Integrate AI solutions with messaging and event driven architectures
- Lead enterprise solution architecture for AI trust and controls
- Partner with security teams for AI risk mitigation
- Provide technical leadership for pilot and reference implementations
Perks/Benefits
- Access to learning courses
- External certifications
- Hackathons
- Hybrid work
- Training and development
- Wellbeing support
Skills/Tech-stack
AI Governance | AI Search | API Integration | Agent Orchestration | AgenticOps | Azure AI | Azure AI Search | Azure Machine Learning | Azure OpenAI | Caching | Databricks | Enterprise Integration | Event Driven | Event-driven architecture | GenAI | LLMOps | Language Models | Large Language Models | Lifecycle Management | Machine Learning | Messaging Systems | Microsoft 365 | Model Evaluation | Model Observability | Prompt engineering | Prompt lifecycle | Prompt lifecycle management | RAG | Retrieval-Augmented Generation | Salesforce | ServiceNow | SharePoint | Solution architecture | Workday
Education
N/A
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