Architect AI Data Engineer
INR 3000K-5000K (estimate) Senior-level Full Time
Tasks
- Advise clients stakeholders on solutions including PoCs
- Apply responsible AI practices bias mitigation explainability and auditability
- Build enterprise RAG pipelines with retrieval optimization and evaluation
- Collaborate on CI CD deployment versioning and monitoring
- Create reference architectures and reusable frameworks
- Define and enforce LLM guardrails and safety filters
- Define end to end architecture for enterprise GenAI platforms
- Define prompt architecture standards
- Design and implement agentic workflows with tool calling
- Design scalable agentic systems
- Ensure data security, privacy, and governance compliance
- Evaluate LLMs, vector databases, and orchestration frameworks
- Identify high value GenAI use cases with business stakeholders
- Implement engineering best practices testing and observability
- Implement evaluation frameworks and benchmarking
- Integrate GenAI solutions with enterprise data platforms and APIs
- Lead RAG versus fine tuning versus hybrid architecture decisions
- Lead development of GenAI platforms APIs and microservices
- Manage metadata and knowledge graph strategies
- Optimize solutions for latency cost scalability and reliability
- Partner on data ingestion pipelines and quality controls
- Present architecture decisions to senior leadership
- Provide technical leadership and mentorship
- Translate business problems into AI driven solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agent Orchestration | Azure | Azure OpenAI | CI/CD | Cognitive Search | Data Pipelines | Docker | ELT | ETL | FastAPI | Flask | Function Orchestration | GCP | Kubernetes | LLM Evaluation | Langchain | Langgraph | LoRA | MLOps | Microservices | Monitoring | NLP | Observability | PEFT | Prompt engineering | PySpark | Python | RAG | SQL | Tool-Calling | Vector Database
Education
N/A
Roles
AI | AI Architect | Architect | Data Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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