Senior Technical Architect / Vice President (AI, Cloud & LLM Platforms), VP
INR 2500K-4763K (estimate) Senior-level Full Time
Tasks
- Advise senior leadership on technology strategy and investments
- Align distributed teams to architectural direction
- Architect cloud native platforms and multi cloud strategies
- Architect embedding pipelines and vector databases
- Architect end to end LLM systems including RAG pipelines and prompt orchestration
- Architect real time analytics streaming pipelines and distributed AI workloads
- Architect secure scalable highly available distributed systems
- Define data ingestion feature store orchestration and AI observability frameworks
- Define enterprise architecture vision across AI LLM and cloud
- Define enterprise patterns for hosting fine tuning optimizing and deploying LLMs
- Define responsible AI frameworks bias fairness compliance and auditability
- Design LLM powered agents tool use orchestrators and workflow automation
- Design large scale AI ML pipelines inference systems and MLOps workflows
- Ensure regulatory, audit, and security compliance
- Establish LLM evaluation safety quality and hallucination reduction governance
- Establish reference architecture standards best practices and roadmaps
- Evaluate emerging AI LLM cloud and DevOps technologies for enterprise adoption
- Govern infrastructure as code DevOps and CI CD workflows
- Implement LLM observability drift detection token usage latency and cost optimization
- Lead design governance modernization and architecture reviews
- Lead mission critical system design for performance availability and fault tolerance
- Manage container orchestration and cloud security resiliency and cost governance
- Mentor architects principal engineers and technical leaders
Perks/Benefits
- Accident insurance
- Best in class leave policy
- Certification sponsorship
- Childcare assistance reimbursement
- Employee assistance program
- Gender neutral parental leave
- Health screening
- Hospitalization insurance
- Term life insurance
Skills/Tech-stack
API Design | AWS | Apache Spark | Auditability | Azure | Bias Fairness Compliance | Bias/fairness | CI/CD | Cloud Networking | Cloud Security | Container Orchestration | DevOps | Distributed Systems | Docker | Event Driven | Event-driven architecture | Feature Store | GCP | Guardrails | Helm | Inference Optimization | Infrastructure as Code | Java | Kafka | Kubernetes | Language Models | Large Language Models | MLOps | Machine Learning | Machine Learning Pipelines | Microservices | Model Monitoring | Model Registry | NoSQL | Node.js | Prompt engineering | Python | RAG Pipelines | Real Time | Real-time analytics | Retrieval-Augmented Generation | Streaming Pipelines | Terraform | Token Usage Monitoring | Token usage | Usage monitoring | Vector Search | “as-code”
Education
N/A
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