AI Engineer – Data and AI
Fisher Investments
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Camas, WA
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Not Applicable
Posted April 4, 2026
2 variants
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Responsibilities
Commitments
Responsibilities
- Design, develop, fine-tune, and deploy generative AI models into scalable production environment
- 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
Commitments
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.
Not Met Priorities
What still needs stronger evidence
Requirements
- 8+ years of IT industry experience
- Minimum 2+ years of hands-on AI development experience
- 3+ years of experience in Python programming
- Proficient in Python with practical experience in LLMs, embeddings, vector databases and RAG architecture.
- Demonstrated experience with generative AI models, including multimodal models
- Hands-on experience with Hands-on experience with cloud-native AI infrastructure, including Azure AI Foundry or AWS Bedrock, Open AI Models and AI model governance frameworks
Preferred Skills
- 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
- CI/CD pipelines for ML and Generative AI workflows, along with containerization and orchestration (Docker, Kubernetes)
Education
- (Not required) – Bachelor's degree in Computer Science, AI, or a related field (or equivalent professional experience)
Overview
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, 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
The Day-to-Day:
Design, develop, fine-tune, and deploy generative AI models into scalable production environment
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:
8+ years of IT industry experience
Minimum 2+ years of hands-on AI development experience
3+ years of experience in Python programming
Proficient in Python with practical experience in LLMs, embeddings, vector databases and RAG architecture.
Demonstrated experience with generative AI models, including multimodal models
Hands-on experience with Hands-on experience with cloud-native AI infrastructure, including Azure AI Foundry or AWS Bedrock, Open AI Models 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
CI/CD pipelines for ML and Generative AI workflows, along with containerization and orchestration (Docker, Kubernetes)
Compensation:
$110,000 - $130,000 base salary per year in the state of WA. New hires should expect to start at the lower end of the range depending on experience
Eligible for a discretionary bonus based on firm and individual performance
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
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, 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
The Day-to-Day:
Design, develop, fine-tune, and deploy generative AI models into scalable production environment
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:
8+ years of IT industry experience
Minimum 2+ years of hands-on AI development experience
3+ years of experience in Python programming
Proficient in Python with practical experience in LLMs, embeddings, vector databases and RAG architecture.
Demonstrated experience with generative AI models, including multimodal models
Hands-on experience with Hands-on experience with cloud-native AI infrastructure, including Azure AI Foundry or AWS Bedrock, Open AI Models 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
CI/CD pipelines for ML and Generative AI workflows, along with containerization and orchestration (Docker, Kubernetes)
Compensation:
$110,000 - $130,000 base salary per year in the state of WA. New hires should expect to start at the lower end of the range depending on experience
Eligible for a discretionary bonus based on firm and individual performance
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