AI Engineering Manager

Fisher Investments • Tampa, FL

2d • Onsite

About The Position

Fisher Investments is hiring an Engineering Manager to lead the end-to-end delivery of AI solutions that address complex challenges. The role leads and develops an engineering team and works closely 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, a strong software engineering foundation, and a track record of leading teams to deliver real-world solutions.

This is an in-office role. Depending on role, tenure, and performance eligibility, the employee may have the opportunity to participate in the company's hybrid work-from-home program, which 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 generative AI 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 and generative AI 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 in 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, fostering 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 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 and 10 paid holidays.
• Eight weeks of paid primary caregiver leave.
• $10,000 in fertility, family-forming, and hormonal health assistance.
• Back-up child, adult, and elder care.
• Potential eligibility for a hybrid work-from-home program, depending on role, tenure, and performance.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager