AI Architect
Core
Design, develop, deploy, and maintain robust Machine Learning and Generative AI solutions for banking, financial, and energy sectors.
Role type
Senior IC AI Architect (GenAI/LLM focus)
Builds
Production-grade AI/ML pipelines, scalable AI systems, and GenAI solutions (LLMs, agentic systems)
Domain
Financial services, Energy, Banking
Deliverable
production ML models
Required skills
End-to-end AI/ML architecture design, Python, FastAPI, MLOps/AIOps, LLM orchestration (LangChain, LangGraph), RAG, agentic systems, vector databases, model governance, cloud deployment (AWS/GCP/Azure), big data processing, low-latency inference, bias detection, explainable AI
Preferred skills
Multi-cloud capability, experience in enterprise financial services environments
Technologies
Python, FastAPI, LangChain, LangGraph, OpenAI GPT, Google Gemini, Mistral, AWS, GCP, Azure, Vector databases
Responsibilities
Design end-to-end ML/AI systems ensuring scalability and real-time inference; Develop, train, and validate models using deep learning, transfer learning, and LLMs; Build production-grade AI-ML pipelines with monitoring and retraining workflows; Implement guardrails, safety frameworks, and compliance controls for AI systems; Drive adoption of AI/ML solutions across business units and translate business problems into AI opportunities; Implement monitoring frameworks for model and data drift; Establish governance processes for model versioning and retirement.
Seniority
Senior, hands-on IC