Gen AI Architect
EXL · IT Services & Consulting
- Noida, Uttar Pradesh, India
- On-site
- Posted today
- Data & AI
About the job
🛠️ 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
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