Domain Architect- AI/ML, Senior Specialist
Core
Designs and implements scalable AI/ML architecture, leads model development and training, and drives experimentation to solve business problems using GenAI and multi-agent systems.
Role type
Senior AI/ML Domain Architect (IC)
Builds
Scalable, secure AI platforms, applications, and systems on cloud infrastructures.
Domain
Financial services / Artificial Intelligence / Machine Learning
Deliverable
production ML models
Required skills
GenAI architecture, multi-agent system design, AWS Solutions Architect, statistical modeling, regression models, A/B testing, model optimization, NLP, computer vision, predictive analytics, code review, algorithm refinement, system performance tuning
Preferred skills
M.Tech/M.S. in AI/ML/Data Science, fine-tuning small language models, Azure/GCP deployment
Technologies
AWS, TensorFlow, PyTorch, Scikit-learn, frontier models
Responsibilities
Assess business requirements for AI/ML solutions; build deployment plans for scalable AI platforms; apply machine learning algorithms to organizational practices; analyze statistical data for business opportunities; perform A/B testing and optimize statistical models; validate business problems and select appropriate AI tools; pilot AI models and prototype applications; conduct code reviews and experiments; design advanced AI/ML models for NLP, computer vision, and predictive analytics; lead model training and evaluation using large datasets; drive continuous experimentation and architectural improvements.
Seniority
Senior, hands-on IC
