GenAI Architect
Category: Data Analyst & AI
Experience:10–15 years
Location:Pan-India
Your team
You will work with a top-tier organization that's been in the game for 50 years, partnering with some of the world's biggest businesses. As India's largest multinational business group, they boast a workforce of over 500,000 highly skilled consultants spread across 46+ countries. Beyond that, they're at the forefront of the financial markets and data industry, delivering exceptional services in Data & Analytics, Capital Markets, and Post Trade. Their commitment to excellence reverberates in everything they do.
Your job
- You will design, implement, and optimize Generative AI and NLP solutions for complex business use cases using LLMs and agentic AI systems.
- You will define and own the end-to-end architecture for AI systems leveraging Azure AI services (Azure OpenAI, Cognitive Services, Azure ML) and agentic libraries such as LangGraph and LangChain.
- You should develop NLP/LLM pipelines for information extraction, summarization, classification, conversational AI, and other advanced tasks.
- Ability to fine-tune and customize pre-trained models (GPT, LLaMA, BERT) to meet client-specific requirements.
- You will evaluate, compare, and select LLM approaches for performance, accuracy, and efficiency, ensuring alignment with AI governance and regulatory standards.
- collaborate with data scientists, engineers, and product stakeholders to align technical solutions with business objectives.
- create documentation, presentations, and technical reports for both technical and non-technical audiences.
- Updated on NLP/LLM advancements and provide thought leadership, contributing to knowledge sharing and internal capability building.
Capabilities
- You must have 12–13 years of IT experience with 3+ years in GenAI/NLP solution architecture.
- Expertise in designing and implementing NLP/LLM pipelines (e.g., summarization, classification, conversational AI).
- You should have hands-on experience with Azure OpenAI, Cognitive Services, Azure ML, and agentic AI libraries like LangGraph, LangChain.
- You must be skilled in fine-tuning pre-trained LLMs (GPT, LLaMA, BERT) and optimizing models for performance and efficiency.
- Knowledge of AI governance, monitoring, and compliance; able to advise clients on NLP/LLM strategies and architectures.
- Strong collaboration and communication skills for technical documentation, presentations, and stakeholder engagement.
Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.