?️ Required Skills

✅ Technical Skills

- Solid knowledge of:
- Machine Learning & Deep Learning
- Large Language Models (LLMs)
- NLP (Natural Language Processing)

- Experience with:

- Python, APIs, microservices
- AI frameworks (TensorFlow, PyTorch, LangChain)

- Cloud platforms:

- Azure / AWS / GCP

✅ GenAI-Specific Skills

- Prompt engineering
- RAG architectures
- Fine-tuning LLMs
- Vector databases (e.g., Pinecone, FAISS)

✅ Soft Skills

- Problem-solving mindset
- Strong communication (explaining AI to non-technical teams)
- Strategic thinking

Responsibilities

Key Responsibilities 1. Solution Architecture & Design

- Design end-to-end Generative AI solutions using LLMs (like GPT, Gemini, etc.)
- Define system architecture (APIs, pipelines, integrations)
- Choose appropriate models, frameworks, and cloud platforms

? 2. Model Selection & Optimization

- Evaluate and select foundation models / LLMs
- Fine-tune or customize models using:
- Prompt engineering
- Retrieval-Augmented Generation (RAG)




- Fine-tuning datasets

? 3. Integration & Deployment

- Integrate GenAI solutions into enterprise systems (CRM, ERP, apps)
- Deploy solutions using cloud platforms like:
- Azure AI / OpenAI
- AWS Bedrock
- Google Vertex AI

? 4. Data & AI Governance

- Ensure data privacy, security, and compliance
- Implement responsible AI practices (bias mitigation, explainability)
- Monitor model performance and accuracy

? 5. Collaboration & Leadership

- Work with business stakeholders to identify GenAI use cases
- Guide engineering teams on implementation
- Act as a technical thought leader in AI adoption

Qualifications

? Qualifications

- Bachelor’s / Master’s in Computer Science, AI, Data Science, or related field
- 5–12+ years in software engineering, ML, or AI roles

Experience with enterprise-level systems

📌 Gen AI Architect (Noida)
🏢 EXL
📍 Noida