JOB ROLE : Gen AI Architect

Experience : 9-15 Years

Location : Bangalore ,Hyderabad, Mumbai ,Pan India

Key Responsibilities:

- Be an expert source on machine learning to drive delivery of new and innovative solutions.
- Propose creative solutions to approach business solutions with emerging technologies.
- Prototype new ways of applying technologies for solving business problems.
- Educate others so that they can demonstrate cutting-edge methods for achieving outcomes.
- Build and maintain machine learning principles, best practices, and code accelerators.
- Conduct external research and internal experimentation for machine learning techniques.
- Champion solution delivery behaviors and approaches from software engineers that accelerate delivery of reliable solutions and create a culture of teamwork.
- Analyze and communicate strategy, status, and product roadmaps to multiple audiences, including all levels of management.

Must Have :

1. 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

1. 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

1. LLMOps Proficiency

- Infrastructure & CI/CD: DevOps, Kubernetes, Docker, Git, Jenkins, GitLab, GitHub Actions
- Monitoring & Management: Ray, SeldonCore, MLFlow, MLServer, Triton, BentoML, Prometheus, Grafana

1. 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

1. 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

1. 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

1. Monitoring & Evaluation:

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

📌 GEN AI ARCHITECT (Bengaluru)
🏢 Tata Consultancy Services
📍 Bengaluru