AI/ML Architect

About the role

We are seeking a highly skilled AI/ML Architect to design and lead the development of enterprise-scale artificial intelligence and machine learning solutions. This role will be responsible for building scalable AI/ML architectures, defining best practices, and guiding cross-functional teams to deliver impactful, production-ready AI-driven products. You will work closely with business stakeholders, data scientists, and engineering teams to translate business requirements into robust AI/ML systems that integrate seamlessly with enterprise infrastructure.

Key Responsibilities

• Design end-to-end AI/ML architectures, including data pipelines, model development, deployment, and monitoring
• Translate business requirements into scalable and secure AI/ML technical solutions
• Evaluate, select, and implement AI/ML frameworks, tools, and platforms
• Define best practices, standards, and governance for AI/ML model development and deployment
• Lead and mentor teams of data scientists, ML engineers, and developers
• Ensure AI/ML systems are scalable, secure, maintainable, and production-ready
• Integrate AI/ML models with enterprise applications and IT infrastructure
• Architect and implement cloud-based AI/ML solutions using modern platforms
• Support big data processing, feature engineering, and data pipeline design
• Drive innovation using advanced AI techniques including Agentic AI, NLP, Computer Vision, and Deep Learning

Mandatory Requirements

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field
• Proven experience as an AI/ML Architect, Machine Learning Engineer, or Data Scientist
• Strong expertise in: Machine Learning and Deep Learning, Natural Language Processing (NLP), Computer Vision, Agentic AI architectures
• Hands-on experience with AI/ML frameworks: TensorFlow, PyTorch, Scikit-learn
• Experience with cloud AI/ML platforms: AWS SageMaker, Azure Machine Learning, Google AI Platform
• Strong programming skills in Python, R, or Java
• Experience with big data technologies and data pipeline architecture
• Experience with Docker, Kubernetes, and CI/CD pipelines for ML workflows
• Strong understanding of production-grade ML system deployment
• Stable career history (no job hoppers)

Preferred Qualifications

• Experience building enterprise-scale AI/ML platforms
• Experience with MLOps tools and frameworks
• Experience integrating AI systems into enterprise applications
• Experience with distributed computing and large-scale data processing
• Strong system design and architecture experience
• Excellent communication, leadership, and mentoring skills

Compensation & Benefits

• Competitive salary
• Medical, dental, and vision insurance
• 401(k) with employer matching
• Paid vacation, sick leave, and holidays
• Life insurance and disability coverage
• Health Savings Account (HSA) and Flexible Spending Accounts (FSA)
• Employee wellness and support programs