Gen AI Architect

Job Role : Gen AI Architect

Experience : 8 to 15 Years

Location : Bengaluru, Hyderabad, Chennai, Mumbai

Must Have :

GenAI Application Development Expertise

Programming Languages : Python

Development Tools : LangChain, LlamaIndex, LangFlow, Langgraph, LangSmith, Flowise

Techniques : RAG Techniques

Databases : Vector Databases (Pinecone, Weaviate, Qdrant)

Additional Technologies : Knowledge Graphs, FastAPI, Streamlit, Gradio

2. Domain Model Fine-Tuning Capabilities

Languages & Libraries : Python, Data Engineering, OSS LLMs (Llama2, Mixtral, GPT-Neo, GPT-J)

Tokenization & Frameworks : Tokenizers (SentencePiece, Hugging Face Tokenizers), Fine-tuning Frameworks (Hugging Face Transformers, PyTorch Lightning)

Datasets : HuggingFace Datasets, TensorFlow Datasets

3. LLMOps Proficiency

Infrastructure & CI / CD : DevOps, Kubernetes, Docker, Git, Jenkins, GitLab, GitHub Actions

Monitoring & Management : Ray, SeldonCore, MLFlow, MLServer, Triton, BentoML, Prometheus, Grafana

4. Data Engineering for AI Applications

Data Processing & Management : Python, Apache Spark, Apache Kafka, AWS S3, Azure Data Lake Storage (ADLS), Delta Lake

Workflow Automation : Apache Airflow, dbt, Apache NiFi, Fivetran, Airbyte, Great Expectations

Data Catalogs : Amundsen, Collibra, Alation

5. AI-Ready Cybersecurity Knowledge

Threat Modeling & Security : AI-Specific Threat Modeling Tools, Secure ML Pipeline Tools, API Security Tools

Monitoring & Prevention : AI Security Monitoring Tools, Prompt Injection Prevention Libraries, Adversarial Example Detection Libraries

6. GenAI Guardrails and Ethics

Ethics & Fairness : AI Ethics Frameworks and Tools, Bias Detection and Mitigation Tools, Fairness Metrics Libraries

Privacy & Security : Privacy-Preserving Machine Learning Libraries, Robustness and Security Tools

Transparency & Governance : Model Interpretability Libraries, AI Governance Frameworks and Tools

7. Monitoring & Evaluation :

Bleu, Rouge, Perplexity, BERT-Score etc.,