AI Architect

Role & responsibilities

AI Architect : We are seeking a visionary AI & GenAI Application Architect to lead the design and implementation of enterprise-scale AI solutions, including agentic systems, GenAI applications, and LLM-integrated platforms. This role demands deep technical expertise, strategic thinking, and hands-on experience in building scalable, secure, and compliant AI architectures.

• Deep experience in Natural Language Processing (NLP and NLI), tiny/small language models, and base language model retraining (both transformer and BERT-based architectures).
  • Extensive experience in conversational NLP systems. • Experience in SLM adaptor fine-tuning, SFT training, and SLM pruning (base and instruct models). • Experience in retriever frameworks in Q and A bots. • Experience in contrastive learning and graph learning-based embedding methods with heterogeneous features. • Preferably experience in building NLP active learning pipelines. • Demonstrable experience in scaling your models to large-scale search systems is a plus. • Very good critical reasoning skills, and data-centric NLP/NLI systems. • Must have the temperament and hunger to work in a fast-paced environment.

stablish governance frameworks for model lifecycle, data privacy, bias mitigation, and responsible AI practices.Oversee model selection, fine-tuning, and evaluation, including SLMs, LLMs, and hybrid architectures.Guide the development of agentic AI applications,support development teamsLead integration of AI systems with enterprise platforms (SAP, Oracle, CRM, ServiceNow).Ensure security, scalability, and compliance across deployment environments (cloud-native, hybrid, on-prem).Mentor AI developers, data scientists, and engineers on agentic design patterns, prompt engineering, and model governance.

Preferred candidate profile