Jobs at Fisher Investments

Manages billing operations by creating client invoices, coordinating fee payments with custodians, reviewing accounts against contract terms, updating billing information, handling confidential documents, and supporting process improvements. The role collaborates with Client Service, Portfolio Management, Legal and Compliance, Audit, and other departments while ensuring accurate and timely management fee processing.

Build and operate production machine learning and generative AI infrastructure, including Azure and Databricks pipelines, CI/CD workflows, RAG systems, APIs, model-serving services, infrastructure as code, automated testing, monitoring, versioning, and governance. The role requires collaboration with AI, ML, data, infrastructure, security, and governance teams to deliver scalable, secure, reproducible, and high-performance AI solutions.

Design, develop, fine-tune, and deploy production generative AI applications using LLMs, RAG, GPU computing, Azure, Databricks, graph databases, and scalable microservices. Build FastAPI APIs, data pipelines, AI agents, and enterprise integrations. Improve model performance, reliability, explainability, observability, and compliance while supporting low-latency, high-throughput deployments and automated CI/CD and testing workflows.

Designs, develops, fine-tunes, and deploys production generative AI systems using LLMs, RAG, GPU computing, Azure, Databricks, APIs, microservices, and graph databases. Builds AI ingestion and orchestration pipelines, integrates enterprise applications, develops agent solutions, and improves model performance, reliability, explainability, security, and compliance. Requires extensive software engineering and hands-on AI experience, including distributed training, GPU optimization, model deployment, CI/CD, and automated testing.

Build and operate production machine learning and generative AI infrastructure on Azure and Databricks. Responsibilities include developing data and ML pipelines, CI/CD workflows, RAG systems, APIs, containerized model-serving services, infrastructure as code, automated testing, monitoring, artifact versioning, and operational safeguards. The role partners with ML, data, infrastructure, security, and governance teams to deliver reliable, scalable, secure, and cost-efficient AI systems.

Implements, maintains, supports, and designs information security systems and tools in cloud and SaaS environments. Coordinates security system development, testing, deployment, troubleshooting, integrations, and configuration with risk managers, application experts, technology teams, business stakeholders, and vendors. The role also supports production systems, improves security processes and documentation, and applies information security and risk management practices.

The Information Security Tools Engineer implements, maintains, supports, tests, and deploys security systems in cloud and SaaS environments. The role coordinates with risk managers, application experts, technology and business teams, and vendors; troubleshoots production security systems; contributes to system design, process maturity, and documentation; and supports enterprise security programs.

Implements, maintains, supports, tests, and deploys information security systems and tools in cloud and SaaS environments. Coordinates with risk managers, application experts, security and technology teams, business stakeholders, and vendors. Provides troubleshooting expertise, supports production security systems, contributes to system design, and improves team processes and documentation. The role requires Azure security integrations, operational technology management, enterprise project delivery, risk management, VMware knowledge, and artificial intelligence control systems experience.

Lead and mentor AI and software engineering teams delivering production-ready AI and generative AI solutions. Own architecture, experimentation, deployment, monitoring, maintenance, and continuous improvement. Establish MLOps, LLMOps, testing, observability, security, governance, and responsible AI practices. Partner with architects and business stakeholders on roadmaps and measurable outcomes while evaluating emerging AI technologies and scalable platforms.

Leads an AI engineering team delivering production-ready AI and GenAI solutions from architecture and experimentation through deployment, monitoring, and continuous improvement. Establishes MLOps, LLMOps, testing, observability, security, governance, and responsible AI practices. Partners with architects and business stakeholders on technical roadmaps, evaluates emerging technologies, and mentors engineers. Requires substantial software engineering, AI application development, cloud architecture, and engineering leadership experience, preferably in investment or wealth management.

Supports quality assurance for marketing technology systems and integrations, including website automation, UX/UI testing, performance analysis, analytics and tag management validation. Develops QA policies, conducts inspections, identifies and resolves workflow issues, documents requirements and audit results, recommends process improvements, and coordinates with technical teams and partners. Creates reports, training materials, and operating manuals while ensuring technology standards and regulations are followed.

Supports quality assurance for marketing technology systems and integrations, including website automation, performance testing, UX/UI validation, analytics and tag-management QA. Develops QA policies, coordinates inspections, investigates system issues, documents requirements and audit activities, reports program performance, and recommends process improvements. The role also creates training materials and collaborates with technical teams and partners.

Leads the Client Tax team supporting private clients through tax planning, filing, compliance, and education services. Responsibilities include hiring, performance management, mentoring, project delivery, service quality improvement, scalability, stakeholder collaboration, and ensuring compliance with internal and external standards.

Supports quality assurance for marketing technology systems and integrations, including website automation, performance testing, UX/UI testing, analytics and tag-management validation. Develops QA standards, executes inspections, investigates defects, documents requirements and audit reports, recommends process improvements, and coordinates with technical teams and partners. The role also contributes to QA reporting, training materials, operating manuals, and compliance with technology standards.

Leads Fisher Investments’ Client Tax team supporting private clients. Responsibilities include hiring, mentoring, evaluating, and overseeing tax professionals; managing tax planning, filing, compliance, and education services; leading projects; improving efficiency and scalability; and ensuring quality, compliance, consistent communications, and service standards.

Leads the Client Tax team supporting private clients through tax planning, filing, compliance, and education services. Responsibilities include hiring, mentoring, performance management, project delivery, service quality, compliance oversight, process improvement, and collaboration with internal stakeholders. The role ensures consistent, scalable, and high-quality tax support while developing tax professionals and managing daily team operations.

Drive sales of wealth management solutions to high-net-worth prospects across Kansas, Missouri, Oklahoma, and Arkansas. Convert qualified leads into clients, assess financial situations, educate prospects on investment offerings, and conduct high-volume phone and in-person or virtual meetings. This home-office role includes ongoing training in sales techniques, finance, capital markets, and portfolio management. Compensation begins with a $175,000 base and transitions to commission-based earnings by year three.

Designs and manages secure network architectures across on-premises, public cloud, private cloud, and hybrid environments. Develops security policies and standards, evaluates controls across AWS, Azure, and GCP, conducts threat modeling and risk assessments, collaborates with engineering and DevOps teams, monitors evolving threats, and supports incident response and forensic investigations.

Manage and enhance applicant tracking systems, workflows, processes, vendors, and technology projects supporting global hiring. Responsibilities include ATS administration, troubleshooting, automation, system implementations, requirements gathering, testing, training, stakeholder communication, and process improvement. The role partners with Talent Acquisition, technology teams, vendors, and internal stakeholders to improve system functionality, data quality, efficiency, and user experience.

Manage and improve global talent acquisition systems, workflows, processes, and vendor relationships. Administer ATS configuration, troubleshoot issues, identify automation opportunities, and lead technology implementations from planning through rollout. Translate business needs into system requirements, coordinate testing and training, improve data quality and user experience, and collaborate with technology teams, vendors, and Talent Acquisition stakeholders.