Responsibilities
- Lead the design, development, and deployment of complex AI solutions, including LLM-based applications, retrieval pipelines, and model-driven services
- Own technical direction for major components or domains within AI platforms or products
- Drive engineering best practices for model evaluation, testing, monitoring, and operationalization
- Partner with product, data, and business stakeholders to translate requirements into scalable AI solutions
- Contribute to architecture decisions, including model selection, system integration, and API design
- Ensure solutions meet enterprise standards for security, privacy, and responsible AI
- Mentor and guide engineers, contributing to team capability and engineering quality
- Identify technical risks and implement appropriate mitigation strategies
Requirements
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field; advanced degree preferred
- Significant experience delivering production AI/ML systems, including model deployment and operationalization
- Strong proficiency in programming languages such as Python, TypeScript, or Rust
- Experience with AI/ML frameworks, LLM technologies, and data pipelines
- Knowledge of model lifecycle management, MLOps, and production reliability practices
- Demonstrated ability to lead complex technical initiatives
- Strong problem-solving skills and ability to work across disciplines.
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