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Senior AI Engineer Data and AI
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Fisher Investments
Remote
Full-Time
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Job Description
Experteer Overview In this role you design and deploy production-grade generative AI solutions that scale across the enterprise. You will build and integrate LLM-powered capabilities with secure, cloud-native architectures, working with AI leads and platform teams. Your work enables scalable AI services, robust governance, and measurable performance improvements. This is a hands-on, impact-driven position at the intersection of AI innovation and operational excellence.
Compensation / Benefits
- Design, develop, fine-tune and deploy generative AI models in production environments
- Build and maintain APIs and microservices with FastAPI to expose AI capabilities enterprise-wide
- Architect robust LLM pipelines and RAG systems with the AI Infrastructure team
- Integrate AI solutions into enterprise applications using secure, cloud-native architectures
- Ensure models are explainable, reliable, and compliant with governance standards
- Monitor and optimize model performance with evaluation frameworks and observability tools
- Collaborate with AI leads, ML engineers, and platform teams to deliver production-grade AI
- Support deployment with CI/CD pipelines and containerized/orchestrated infrastructure Tasks
- 10 years IT industry experience
- 7 years building data-driven software solutions
- Proficient Python with practical LLM, embeddings, and RAG experience
- 3 years hands-on AI development experience
- Experience with generative AI models, including multimodal models
- 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)
Preferred:
GPU-accelerated training/inference with NVIDIA tools (NIM, NeMo); vLLM; CI/CD for GenAI; Docker/Kubernetes GA;CUDA/RAPIDS
Key requirements- 100% paid medical, dental, and vision premiums
- 50% 401(k) match up to IRS max
- 20 days
PTO + 10
paid holidays- Family Support programs including paid caregiver leave and fertility/family health assistance
- Hybrid work-from-home program (subject to role/tenure/performance)