AI Engineering Manager

Fisher Investments • Plano, TX

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 develops 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, a strong software engineering foundation, and a record of leading teams to deliver practical solutions.

The manager oversees custom AI solutions throughout their lifecycle, from architecture and experimentation through production deployment, maintenance, monitoring, and continuous improvement. The role also establishes engineering practices for AI development, evaluates emerging technologies and frameworks, and guides teams toward scalable, reusable platforms and patterns.

This is an in-office position. Depending on role, tenure, and performance eligibility, employees may have an opportunity to participate in a 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 across the systems development lifecycle and technology architecture areas, including infrastructure, application architecture, data architecture, and integration.
• Hands-on experience building and deploying AI or 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 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 AI engineering best practices, 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 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.
• 50% 401(k) match, up to the IRS maximum.
• 20 days of paid time off and 10 paid holidays.
• Family support programs, including 8 weeks of paid primary caregiver leave, $10,000 in fertility, family-forming, and hormonal health assistance, and backup child, adult, and elder care.
• Customized learning and development framework.
• Potential eligibility for a hybrid work-from-home program, subject to role, tenure, performance eligibility, and change.

What This Job Offers

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