AI Engineering Manager

Fisher Investments•Camas, WA
•$150,000 - $210,000•Onsite

About The Position

Fisher Investments is hiring an Engineering Manager to lead the end-to-end delivery of AI solutions addressing complex challenges. The role leads and grows an engineering team and partners with business leaders, enterprise architects, and technology partners to deliver scalable, secure, production-ready applications. The successful candidate brings hands-on experience with modern AI and LLM technologies, strong software engineering foundations, and experience leading teams that deliver real-world solutions. The manager oversees custom AI solutions throughout their lifecycle, from architecture and experimentation through production deployment, maintenance, monitoring, and continuous improvement. They establish engineering practices for AI development and help select scalable, reusable platforms and patterns. This is an in-office role, with potential eligibility for a hybrid work-from-home program depending on role, tenure, and performance; the program is subject to change.

Requirements

  • At least 7 years of software engineering experience, including at least 2 years leading engineering teams delivering enterprise-ready solutions.
  • At least 2 years of industry experience focused on building and deploying AI and GenAI applications.
  • Broad technology experience throughout the systems development lifecycle and across technology architecture areas, including infrastructure, application architecture, data architecture, and integration.
  • Hands-on experience building and deploying AI/GenAI applications using LLMs, RAG, AI agents, and vector databases.
  • Experience with cloud-native architectures, APIs, and DevOps/MLOps, including deploying AI solutions on platforms such as Azure, AWS, or GCP.
  • Experience collaborating with cross-functional teams, communicating complex technical concepts to partners, and balancing innovation with security, governance, and responsible AI practices.
  • Experience with the investment management and wealth management industry.
  • Bachelor's degree from a four-year college or university, or equivalent experience.

Responsibilities

  • Lead and mentor a team of AI and software engineers, encouraging collaboration and career growth while ensuring high-quality delivery.
  • Improve end-to-end development of custom AI solutions, from architecture and experimentation through production deployment, maintenance, monitoring, and continuous improvement.
  • Partner with enterprise and solution architects and business stakeholders to prioritize work, define technical roadmaps, and deliver measurable outcomes.
  • Establish engineering best practices for AI development, including MLOps, LLMOps, testing, observability, security, governance, and responsible AI.
  • Evaluate the latest AI technologies and frameworks and guide the use of scalable, reusable platforms and patterns to accelerate AI solution delivery.
  • Coach team members and build their design and development skills.

Benefits

  • 100% paid medical, dental, and vision premiums for the employee and 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 backup child, adult, and elder care.
  • Eligible for a discretionary bonus based on firm and individual performance.
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