Senior AI Engineer - Data and AI

OverviewIt is an exciting time to join Fisher Investments! We are expanding our Generative AI capabilities to support our international growth. We are looking for a Senior AI Engineer who will design, build, advanced AI applications using large language models, GPU‑accelerated computing, and modern API frameworks. The Opportunity:  The AI Engineer will architect, implement production-ready generative AI systems, working closely with AI leads, ML engineers, and platform teams. You will develop solutions powered by LLMs, GPU frameworks, and scalable microservices, ensuring they are performant, secure, and seamlessly integrated with enterprise systems. You will report to the AI Team Leader, Technology Innovation. The Day-to-Day: 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 Collaborate with the AI Infrastructure team to architect robust LLM pipelines, including training workflows and retrieval-augmented generation (RAG) systems Integrate AI solutions into enterprise applications using secure, cloud-native architectures and best practices Ensure AI models are explainable, reliable, and compliant with regulatory and internal governance standards Continuously monitor and optimize model performance using evaluation frameworks, observability tools, and iterative fine-tuning Your Qualifications: 10 years of IT industry experience 7 years of experience: Building data‑driven software solutions Python expertise, with practical experience in LLMs, embeddings, and RAG architecture 3 years of hands-on AI development experience Demonstrated experience with generative AI models, including multimodal models Hands-on experience with cloud-native AI infrastructure: Azure Foundry, Kubernetes, Docker, vector databases, GPU clusters, and AI model governance frameworks Bachelor's degree in Computer Science, AI, or a related field (or equivalent professional experience) Preferred Experience: GPU-accelerated training and inference using NVIDIA technologies, including NIM and NeMo frameworks Optimize and scale AI models with NVIDIA NIM, and fine-tuning models with NeMo services Familiarity with AI agentic frameworks and deploying AI agents in production environments Deploy models with low latency and high throughput, using frameworks like vLLM and other GPU model deployment tools Hands-on experience with CI/CD pipelines for GenAI workflows, along with containerization and orchestration (Docker, Kubernetes Distributed training, GPU optimization, and large-scale model frameworks (CUDA, RAPIDS) Why Fisher Investments: We work for a bigger purpose: bettering the investment universe. We take great pride in our inclusive culture, our learning and development framework customized for every employee, and our Great Place to Work Certification. It's the people that make the Fisher purpose possible, and we invest in them by offering exceptional benefits like: 100% paid medical, dental and vision premiums for you and your qualifying dependents A 50% 401(k) match, up to the IRS maximum 20 days of PTO, plus 10 paid holidays Family Support programs including 8 week Paid Primary Caregiver Leave, $10,000 fertility, family forming, and hormonal health assistance, and back-up child, adult, and elder care This is an in-office role. Based on your role, tenure, and performance eligibility you may have the opportunity to participate in our hybrid work from home program. This program is subject to change. FISHER INVESTMENTS IS AN EQUAL OPPORTUNITY EMPLOYER

Created: 2026-03-04