AI Engineering Manager

Fisher Investments • Tampa, FL

1d • 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 grows 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 experience leading teams to deliver practical solutions.

The position covers the full lifecycle of custom AI solutions, from architecture and experimentation through production deployment, maintenance, monitoring, and continuous improvement. The manager partners with architects and business stakeholders to prioritize work, develop technical roadmaps, and deliver measurable outcomes. They establish engineering practices for AI development, including MLOps, LLMOps, testing, observability, security, governance, and responsible AI, and evaluate technologies and frameworks to guide the use of scalable, reusable platforms and patterns.

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

• 7+ years of software engineering experience, including 2+ years leading engineering teams delivering enterprise-ready solutions.
• 2+ years of industry experience focused on building and deploying AI and GenAI applications.
• Broad technology experience across the systems development lifecycle and areas of technology architecture, 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.
• Bachelor's degree from a four-year college or university, or equivalent experience.

Nice To Haves

• Experience with the investment management and wealth management industry.

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 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 back-up child, adult, and elder care.
• Learning and development framework customized for every employee.
• Potential eligibility for a hybrid work-from-home program, based on role, tenure, and performance; the program is subject to change.

What This Job Offers

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