AI Architect
Bangalore, Karnataka, India
R
INR 2500K-5000K (estimate) Senior-level Full Time
Tasks
- Architect scalable LLM RAG systems
- Build evaluation pipelines
- Conduct build vs buy assessments for AI platforms
- Define reference AI architectures
- Deploy ML LLM systems in production
- Design end-to-end AI architecture
- Design prompt orchestration and caching layers
- Develop fine tuning and deployment patterns
- Enable audit logging and explainability
- Enforce AI security policies and compliance
- Establish embedding vectorization standards
- Implement privacy PHI and PII guardrails
- Integrate with data engineering and security teams
- Mitigate hallucination risk
- Plan AI ML roadmap and technology selection
- Select foundation models and fine tuning approach
Perks/Benefits
Skills/Tech-stack
Apache Airflow | Azure | Caching | Distributed Systems | Docker | Embeddings | Encryption | Fine Tuning | KServe | Kubeflow | Kubernetes | Language Models | Large Language Models | MLOps | MLflow | Model Evaluation | Prompt engineering | Prompt orchestration) | PyTorch | Python | RAG | TensorFlow | Tokenization | Vector Databases
Education
Roles
AI | AI Architect | Architect
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