Lead Architect
DGS India - Bengaluru - Manyata H2 block
INR 2500K-5000K (estimate) Senior-level Full Time
Tasks
- Architect end to end AI solution roadmaps
- Conduct solution design reviews and raise delivery standards
- Define hybrid retrieval and knowledge architectures
- Define safety guardrails and hallucination control
- Design and lead multi agent multimodal systems
- Drive enterprise model deployment across cloud on prem and edge
- Ensure production readiness with monitoring drift detection and incident response
- Establish AI in SDLC frameworks
- Establish evaluation frameworks and regression suites
- Implement SLM distillation fine tuning and quantization patterns
- Lead red teaming and adversarial testing
- Lead solutioning and technical direction for GenAI and agentic AI
- Mentor AI engineers and run technical reviews
- Own reference architectures and reusable design patterns
- Partner with engineering data science product and DX leadership
- Set technical hiring and engineering interview standards
- Support pre sales solutioning and effort estimation
Perks/Benefits
Skills/Tech-stack
A2A | API | AWS | Agent Orchestration | Agentic RAG | Autogen | Azure | CI/CD | CNN | Deep learning | Distillation | Django | Drift Detection | Embeddings | Evaluation | FastAPI | Fine Tuning | Flask | Flink | GCP | GPU | Golden datasets | Graph Databases | Guardrails | Hadoop | Hallucination control | Kafka | Knowledge graph | LLM | LSTM | Langgraph | Linear Algebra | Llamaindex | LoRA | MCP | Machine Learning | Model Serving | MongoDB | Monitoring | Multi-Agent | Multi-agent orchestration | NoSQL | Observability | Optimization | Persistent memory | Planning | Probability | Prompt engineering | Python | QLoRA | Quantization | RAG | RLAIF | RLHF | RNN | Red Teaming | Regression testing | SLM | SQL | Spark | Statistics | Tool use | Transformers | Vector Search
Education
N/A
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