Description

Lead the end-to-end architecture and design of AI/ML solutions, translating business requirements into scalable, secure, and cost-effective systems.

This role is on-site.

Responsibilities

• Design and oversee solutions involving Machine Learning, Deep Learning, Generative AI, NLP, and Computer Vision.
• Define AI solution blueprints, reference architectures, and technical standards for enterprise-scale implementations.
• Conduct architecture reviews, risk assessments, and performance optimization for cloud-native AI systems.
• Mentor junior architects and engineers on best practices for model lifecycle management and integration.

Required Skills

• 9+ years of overall IT experience with a strong focus on AI/ML solution architecture.
• Strong understanding of ML & DL frameworks: TensorFlow, PyTorch, Scikit-learn.
• Hands-on experience with Generative AI and LLMs, including RAG, prompt engineering, and fine-tuning concepts.
• Proficiency with cloud platforms (AWS, Azure, or GCP) and microservices architecture.
• Experience with MLOps tools, CI/CD pipelines, and model lifecycle management.
• Strong knowledge of system architecture, APIs, and integration patterns.
• Experience with data engineering and data pipelines.

Preferred Skills

• Experience in large enterprise or consulting environments.
• Exposure to AI governance, security, and compliance frameworks.
• Certifications in Cloud Architecture or AI/ML.

Key Skills

Education

Bachelor's degree