Sr Manager – AI Ops (Intelligent IT Operations)
Tasks
- Build and operationalize LLM powered applications
- Define AI lifecycle processes for experimentation to monitoring
- Define enterprise AI strategy and roadmap
- Design and implement AI agent systems
- Design build and deploy enterprise AI solutions
- Drive stakeholder alignment and executive communication
- Ensure responsible AI practices governance security privacy compliance
- Establish AI engineering standards and reference architectures
- Evaluate emerging AI technologies and recommend adoption strategies
- Implement RAG using vector databases and embeddings
- Lead AI architecture design reviews
Perks/Benefits
Skills/Tech-stack
AI Governance | APIs | Agent systems | Agentic Workflows | Cause analysis | Cloud Native | Cloud Native Architecture | Embeddings | Evaluation Pipelines | Explainability | Generative AI | Guardrails | Human-in-the-loop | Incident Management | Language Models | Large Language Models | Microservices | Model Operations | Model routing | Multi-Agent | Multi-Agent Systems | Observability | Orchestration | Privacy Compliance | Prompt engineering | Python | Retrieval-Augmented Generation | Root Cause Analysis | Root cause | Security controls | The Loop | Traceability | Vector Databases
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science | Bachelor of Technology | Master of Science
Roles
AI | AI Operations Manager | Manager | Operations Manager | Senior Manager
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