Senior AI/ML Engineer - R01572485

Job requirements

• Experience Range: with at least 6 years of experience in AI/ML engineering, including hands-on expertise in designing, building, and operationalizing enterprise-scale AI platforms Key Responsibilities: Lead the design and architecture of enterprise-scale AI platforms, ensuring scalability, security, and operational readiness
• Define and implement frameworks for model lifecycle management, MLOps/LLMOps, and AI observability to support robust deployment and monitoring
• Establish and enforce Responsible AI principles, governance frameworks, and technical guardrails across AI solutions
• Drive platform-level technical decision-making and define reusable architecture patterns, standards, and reference models for AI and GenAI solutions
• Collaborate with business, data, technology, and platform teams to translate AI architecture principles into production-ready capabilities
• Evaluate emerging AI technologies and assess their applicability to enterprise AI platforms, supporting long-term scalability and business outcomes
• Maintain and improve AI model governance, version control, and documentation for ongoing operational excellence
• Required Skills: Expertise in enterprise-scale AI platform design and operationalization
• Deep proficiency in model lifecycle management, MLOps/LLMOps, and AI observability
• Advanced programming skills in Python and PySpark
• Experience with cloud-based AI platforms and modern data/AI architectures
• Knowle