Large Language Model Architect

Job Title: Large Language Model Architect

About the Client:

ARAs client TechGlobal (pseudonym) is a global leader in strategy, technology consulting and digital services, enabling clients in more than 100+ countries to implement cutting edge solutions in their transformation journey. TechGlobal helps businesses become digital-first and digital-ready. The company has a global presence with 600000+ employees (200000+ in India). India is a focus for them with their Development Centres presence in over 10 locations across Tier 1 and Tier 2 cities. They are recognised for their people first and employee-oriented policies. Along with offering hybrid work options, a Pan India presence gives flexible location options to employees.

Role Summary:

Seeking an experienced Large Language Model Architect who will lead the architecture, design, and delivery of advanced generative AI systems and enterprise-scale AI transformation programs.

This role combines deep technical expertise in LLM architectures and NLP systems with large-scale program leadership. The ideal candidate will architect and optimize large language models, guide AI-native development practices, and lead cross-functional teams to deliver transformative AI platforms.

The role requires strong experience with distributed systems, platform engineering, AI risk management, and enterprise program delivery.

Key Responsibilities:

• Architect and design Large Language Models (LLMs) for natural language understanding and generation.
• Define neural network architectures and optimize model training on large-scale text datasets.
• Collaborate with data scientists and engineers to integrate AI models into scalable applications.
• Evaluate model performance and improve accuracy, efficiency, and scalability.
• Lead AI transformation programs and coordinate cross-functional teams across engineering, product, and business stakeholders.
• Identify and mitigate AI system risks such as model drift, hallucinations, and data quality issues.
• Drive agile delivery, program governance, and stakeholder communication for AI initiatives.
• Mentor teams and promote best practices in AI/ML model development and deployment.

Must-Have Qualifications:

• Strong experience in technology / software engineering
• Experience in Machine Learning / AI
• Hands-on experience with Large Language Models (LLMs) and generative AI architectures
• Strong understanding of: Neural networks, NLP frameworks, LLM training methodologies, Distributed systems
• Experience leading large enterprise AI transformation programs
• Expertise in platform engineering and scalable AI architectures
• Experience with agile / lean program delivery frameworks
• Strong stakeholder and executive communication skills

Nice to Have:

• Experience with agent-based AI systems
• Knowledge of semantic search, vector databases, and RAG architectures
• Exposure to AI governance and responsible AI frameworks
• Experience building enterprise AI platforms