Architect

Role - AI Architect

Experience Requirements

• 10–15+ years of IT experience
• 5+ years in AI/ML/GenAI solutioning & architecture
• Proven experience in designing and deploying AI systems at scale
• Experience across full lifecycle: experimentation → production → monitoring

Required Skills & Qualifications

Technical Skills

• Strong expertise in:
• Machine Learning, Deep Learning, NLP, Computer Vision
• Large Language Models (LLMs), GenAI, Agentic systems
• Hands-on experience with:
• RAG pipelines, embeddings, fine-tuning, evaluation
• AI orchestration frameworks (LangChain, etc.)

Architecture & Engineering

• Solid experience in:
• Distributed systems & microservices architecture
• Cloud-native architecture (Azure/AWS/GCP)
• Knowledge of:
• MLOps / LLMOps, model monitoring, CI/CD pipelines
• Data engineering & data platforms

Programming & Tools

• Strong proficiency in Python (preferred)
• Familiarity with:
• AI development frameworks (TensorFlow, PyTorch, OpenAI APIs)
• Dev tools: GitHub, Copilot, Cursor, etc.

Soft Skills

• Strong problem-solving and system thinking
• Ability to translate business requirements into technical architecture
• Strong stakeholder management and communication skills

Good to Have

• Experience with:
• AI governance frameworks
• Industry-specific AI use cases (BFSI, travel, healthcare, etc.)
• Exposure to agentic AI systems and workflow orchestration