AI Engineer

Fisher Investments • Plano, TX

117d • Onsite

About The Position

It is an exciting time to join Fisher Investments! We are expanding our Generative AI capabilities to support our international growth. We are looking for an AI Engineer who will design, build, and optimize advanced AI applications leveraging large language models, GPU‑accelerated computing, and modern API frameworks.
The Opportunity:
The AI Engineer will architect, implement, and optimize production-ready generative AI systems, working closely with AI leads, ML engineers, and platform teams. You will develop solutions powered by LLMs, NVIDIA GPU frameworks, and scalable microservices, ensuring they are performant, secure, and seamlessly integrated with enterprise systems. You will report to the Application Development Team Leader, Innovation Engineering.

Requirements

• 10+ years of experience building data‑driven software solutions, with a strong focus on AI and machine learning
• 5+ years of experience as an AI Engineer or Software Engineer specializing in Generative AI and LLM‑based systems
• 5+ years of advanced Python expertise, with a deep proficiency in AI/ML frameworks such as TensorFlow, PyTorch, and Scikit‑learn, plus hands‑on experience with LLMs, embeddings, and RAG architectures
• Experience with distributed training and GPU optimization, including CUDA, RAPIDS, and frameworks used for large‑scale model training
• Familiarity with modern data and feature pipelines, including Spark, Databricks, and Kafka, supporting high‑volume AI workloads
• Hands‑on experience with CI/CD for ML and GenAI workflows, along with containerization and orchestration using Docker and Kubernetes
• Strong knowledge of algorithms, data structures, and ML system design
• Practical experience deploying on Azure AI services, and use NVIDIA NeMo and NIMs for LLM and generative AI workloads
• Bachelor's degree in computer science, Machine Learning, or related field

Responsibilities

• Develop, fine-tune, and deploy Generative AI models (LLMs, embeddings, RAG pipelines, multimodal models) into production environments
• Optimize GPU‑accelerated training and inference using NVIDIA technologies (NIM and NEMO Framework)
• Apply NVIDIA NIMs for model optimization and scaling, and use NeMo services for model development and fine-tuning
• Build scalable APIs and microservices using Fast API to expose AI capabilities across the enterprise
• Collaborate with AI Infrastructure team to design robust LLM pipelines for model training and retrieval‑augmented generation
• Integrate AI systems with enterprise applications using secure, cloud-native architectures
• Ensure AI models are explainable, reliable, and compliant with regulatory and internal governance standards
• Work with cloud-native AI infrastructure (Azure Foundry, Kubernetes, Docker, vector databases, GPU clusters, Guardrails)
• Monitor and improve model performance through evaluation frameworks, observability tools, and continuous optimization

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees