Architect AI Data Engineer
Pune, Maharashtra, India
INR 4000K-5500K (estimate) Senior-level Full Time
Tasks
- Advise clients during pre sales and PoCs
- Apply responsible AI bias mitigation explainability auditability
- Build enterprise RAG pipelines
- Collaborate with MLOps on CI CD and monitoring
- Define LLM guardrails
- Define end-to-end GenAI architecture
- Design agentic systems
- Develop GenAI platforms APIs and microservices
- Ensure data security and privacy governance
- Establish prompt architecture standards
- Evaluate RAG vs fine tuning vs hybrid
- Identify high value GenAI use cases with stakeholders
- Implement agentic workflows with tool calling
- Implement engineering best practices
- Implement evaluation frameworks and benchmarking
- Integrate GenAI with enterprise data platforms APIs and applications
- Manage metadata and knowledge graph strategies
- Optimize latency cost scalability reliability
- Partner on data ingestion pipelines and quality controls
- Provide technical leadership and mentorship
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | Azure Cognitive | Azure Cognitive Search | Azure Databricks | Azure OpenAI | CI/CD | Cloud platform | Cognitive Search | Docker | Function Orchestration | Google Cloud | Google Cloud Platform | Knowledge graphs | Kubernetes | LLM Evaluation | Langchain | Langgraph | LoRA | Monitoring | Observability | PEFT | Prompt engineering | Prompt orchestration) | PySpark | Python | Retrieval-Augmented Generation | SQL | Semantic Search | Snowflake | Tool-Calling | Vector Databases
Education
N/A
Roles
AI | AI Architect | Architect | Data Engineer | Engineer
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