Gen AI Architect @ EXL

🛠️ Required Skills

✅ Technical Skills

• Strong 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

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

• 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