Job Description

Overview:

It is an exciting time to join Fisher Investments. As we expand our global AI initiatives, we are seeking an AI Solution Architect to design and create AI solutions that help us scale.

The Opportunity:

The AI Solution Architect to translate business goals into secure, scalable architectures and deliver production AI solutions that drive measurable outcomes. You will partner with cross-functional teams to identify opportunities, validate approaches, and lead build-versus-buy decisions. You will report to the Vice President, Technology Innovation.

The Day-to-Day:

Business to technology mapping: Convert use cases (KPIs, ROI, risk) into measurable NFRs (for example, P95 latency, accuracy targets, uptime, cost caps) and an end-to-end target architecture End-to-end design and trade-offs: Select patterns (prompting, RAG, fine-tuning), model class/size, vector store, data plane, and serving plane (for example, AKS GPU pools, ACR/JFrog, Cosmos DB, Azure AI Search, Databricks/Unity Catalog), balancing cost, performance, and complexity Security, privacy, and compliance by design: Enforce data residency, Entra integration, Key Vault, Private Link, PII handling, Responsible AI controls, auditability, model governance, and approval workflows Integration strategy: Define how AI services integrate with applications, data lakes, event streams, APIs, and identity; design guardrails and fallbacks (circuit breakers, red teaming, content filtering) Build-versus-buy and vendor management: Evaluate SaaS versus bespoke solutions, negotiate SLOs and TCO, define acceptance tests, and manage exit strategies Operating model and FinOps: Plan capacity, cost guardrails, multi-region DR (RTO/RPO), release strategy, and boundaries Program orchestration: Align data, platform, application, security, and legal stakeholders; maintain the roadmap and decision records

Your Qualifications:

10+ years delivering enterprise technology solutions, including 3+ years in solution architecture for AI/ML systems Strong knowledge of Azure architecture (AKS, networking, Private Link, Key Vault, Managed Identities) and data platforms (Databricks/Unity Catalog, Azure AI Search, Cosmos DB) Experience with ML lifecycle and inference optimization; able to guide teams on prompting, RAG, and fine-tuning strategies Proficiency in Python or similar languages; familiarity with ML frameworks (scikit-learn, XGBoost, TensorFlow, and PyTorch) Experience with NVIDIA NeMo for model customization and NIMs for optimized inference Demonstrated security, privacy, and compliance design experience Advanced degree in Computer Science, Data Science, Statistics, or a related field

Compensation:

$175,000 - $215,000 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