Senior Business AI Engineer, VP
INR 3500K-5500K (estimate) Senior-level Full Time
Tasks
- Architect orchestration layers for AI and business logic
- Define AI application strategy
- Design safety guardrails and validation patterns
- Drive testing deployment observability and incident response
- Ensure reliability and explainability of AI outputs
- Implement drift detection and remediation frameworks
- Mentor engineers on AI integration patterns and secure design
- Provide technical leadership to engineering teams
- Translate business requirements into production grade AI solutions
Perks/Benefits
- Accident insurance
- Certification sponsorship
- Childcare assistance reimbursement
- Employee assistance program
- Flexible leave policy
- Gender neutral parental leave
- Health screening
- Hospitalization insurance
- Term life insurance
Skills/Tech-stack
AWS | Auditability | Azure | CI/CD | Cloud platform | Data Drift | Deployment | Distributed Systems | Docker | Drift Detection | Embeddings | Event Driven | Event-driven architecture | Explainability | Fairness | Google Cloud | Google Cloud Platform | High Throughput | High-Throughput Systems | Incident Response | Java | Kafka | Kubernetes | Langchain | Language Models | Large Language Models | Llamaindex | Low Latency | Low-Latency Systems | Microservices | Model Drift | Model Drift Detection | Model Orchestration | NoSQL | Observability | Prompt Drift | Prompt Drift Detection | Prompt engineering | RAG | REST APIs | Relational databases | Responsible AI | Retrieval-Augmented Generation | Semantic Kernel | Semantic Search | Spring Boot | Testing
Education
N/A
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