AI Architect Lead

We are seeking a visionary AI Architect with 15–18 years of experience in enterprise-scale AI solutions.

• Role: Generative AI Architect
• Experience: 6 to 10 Years

• Solution Architecture: Lead the design and architecture of GenAI solutions using LLMs and advanced conversational AI frameworks.
• Model Development: Fine-tune LLMs and SLMs using techniques like PEFT, LoRA, and QLoRA for domain-specific use cases.
• Open-Source Frameworks: Build GenAI solutions using tools like Hugging Face, LangChain, LangGraph, and AutoGen.
• GCP Expertise:
• Design and deploy scalable AI solutions using GCP services such as Vertex AI, BigQuery, AI Platform, and Cloud Functions.
• Optimize model performance, cost-efficiency, and reliability within GCP environments.
• Integration and Deployment:
• Integrate generative AI models into enterprise systems and applications.
• Implement robust MLOps practices, including CI/CD pipelines (e.g., GitHub, Jenkins), and containerization using Docker and Kubernetes.
• Coding and Development: Write clean, maintainable Python code for GenAI applications.
• Data Preprocessing: Build and maintain data pipelines for training and fine-tuning models.
• Model Evaluation: Evaluate model performance using relevant metrics and benchmarks; iterate to improve outcomes.
• Prototyping:
• Rapidly prototype GenAI applications to demonstrate capabilities.
• Showcase solutions to stakeholders for feedback and iteration.
• Drive innovation through fast experimentation and proof-of-concept development.
• Research & Innovation: Stay current with emerging trends in GenAI and contribute to the evolution of AI architecture and development practices.

Required Skills and Qualifications

• Bachelor's, Master's, or PhD in Computer Science, AI, Electrical Engineering, or Applied Mathematics.
• 15–18 years of experience in software architecture and AI/ML systems.
• Expert-level experience with Google Cloud Platform (GCP), and strong expertise in Microsoft Azure and Amazon Web Services (AWS) for deploying, monitoring, and optimizing AI workloads across cloud environments.
• Proficiency in Python, with deep knowledge of ML/DL frameworks like PyTorch and TensorFlow.
• Experience in fine-tuning and deploying LLMs using modern techniques and tools.
• Familiarity with MLOps platforms and workflows (MLFlow, Kubeflow, Airflow).
• Excellent communication and leadership skills, with the ability to influence cross-functional teams and drive innovation.

• Competitive salary and benefits package.
• Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications.
• Opportunity to work with cutting-edge technologies.
• Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards.
• Annual health check-ups.
• Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents.

We support diversity and inclusion in the workplace. We welcome candidates from all backgrounds and abilities.

• We support hybrid work and flexible hours to fit diverse lifestyles.
• We provide accessibility-friendly office spaces with ergonomic setups and assistive technologies.
• If you have specific requirements, please inform us during the application process or at any time during your employment.