Senior AI Engineer Data and AI

Experteer Overview In this role you will design, build, and deploy production-grade generative AI systems leveraging LLMs, GPU acceleration, and modern API frameworks. You will work closely with AI leads, ML engineers, and platform teams to deliver secure, scalable solutions that integrate with enterprise systems. You'll optimize performance, governance, and explainability while supporting Fisher Investments' international growth and AI capabilities. This is an opportunity to shape the company's AI-driven transformation in a collaborative, mission-driven environment.

Compensation / Benefits

• Design, develop, fine-tune, and deploy generative AI models into scalable production environments
• Build and maintain APIs and microservices using FastAPI to expose AI capabilities enterprise-wide
• Architect robust LLM pipelines with the AI Infrastructure team, including training workflows and RAG systems
• Integrate AI solutions into enterprise applications via secure, cloud-native architectures and best practices
• Ensure AI models are explainable, reliable, and compliant with governance standards
• Monitor and optimize model performance using evaluation and observability tools, with iterative fine-tuning Tasks
• 10 years of IT industry experience
• 7 years building data-driven software solutions
• 3 years hands-on AI development experience
• Python expertise with practical experience in LLMs, embeddings, and RAG
• Demonstrated experience with generative AI models (multimodal)
• Hands-on experience with cloud-native AI infrastructure (Azure Foundry, Kubernetes, Docker, vector databases, GPU clusters, governance frameworks)
• Bachelor's degree in Computer Science, AI, or related field (or equivalent) Key requirements
• 100% paid medical, dental and vision premiums
• 50% 401(k) match, up to IRS maximum
• 20 days of PTO plus 10 holidays
• Family Support programs including 8-week Paid Primary Caregiver Leave, fertility and family health assistance