Description

Lead the end-to-end architecture and design of AI/ML solutions across multiple use cases.

Responsibilities

• Translate business requirements into scalable, secure, and cost-effective AI architectures.
• Design and oversee solutions involving Machine Learning, Deep Learning, Generative AI, NLP, and Computer Vision.
• Define AI solution blueprints, reference architectures, and technical standards.
• Conduct architecture reviews, risk assessments, and performance optimization.
• Mentor junior architects and engineers on cloud-native AI implementations.

Required Skills

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