Senior AI Engineer - Data and AI
Fisher Investments, Plano, TX, United States
This job is with Fisher Investments, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.
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 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
Bachelors 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. Its 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
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 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
Bachelors 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. Its 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