AI Platform Engineer

Pacific Life • Charlotte, NC

9h

About The Position

Providing for loved ones, planning rewarding retirements, saving enough for whatever lies ahead – our policyholders count on us to be there when it matters most. It’s a big ask, but it’s one that we have the power to deliver when we work together. We collaborate and innovate – pushing one another to transform not just Pacific Life, but the entire industry for the better. Why? Because it’s the right thing to do. Pacific Life is more than a job, it’s a career with purpose. It’s a career where you have the support, balance, and resources to make a positive impact on the future – including your own. Pacific Life’s technology organization is seeking a talented an AI Platform Engineer focused on delivering enterprise-grade AI solutions to join the Enablement AI Platform team at our Charlotte, NC office. You will work closely with our Solution Architect, other AI platform engineers, analysts and cross-functional stakeholders to implement scalable, secure, and high-performing AI products. This role is ideal for someone who thrives in a collaborative environment and is passionate about translating architectural vision into working solutions. How You'll Help Us Move Forward Contribute to the design, development, and deployment of AI solutions that support our business goals and drive innovation. Work alongside the Solution Architect and team members to review designs, offer input, and help ensure technical alignment with stakeholder needs. Build and maintain integrations across enterprise systems, focusing on AI Gateway and orchestration layers. Assist with integrating AI solutions across enterprise systems, especially with AI Gateway and orchestration components. Support the use of MuleSoft and other integration tools to connect AI applications with key platforms and services. Help develop and apply best practices for testing AI products, focusing on performance, data quality, model evaluation, and identifying potential biases. Look for ways to enhance the AI platform by suggesting improvements in automation and system efficiency. Collaborate with and learn from other engineers, while sharing your own knowledge and supporting a culture of growth and teamwork.

Requirements

• Minimum of 5+ years of experience in the technology industry.
• Proficiency in at least one cloud platform (e.g., AWS, Azure, Google Cloud).
• Proficiency in at least one programming language (e.g., Python, Java, C++).
• Proficiency in DevSecOps best practices and tooling
• Strong understanding of AI and machine learning principles.
• Experience with data analysis and model development.
• Excellent problem-solving and analytical skills.
• Experience working in agile, cross-functional teams and collaborating with architects and product owners.
• Familiarity with modern AI design patterns such as RAG, agentic frameworks, and multi-component pipelines.
• Effective communication and presentation skills, with the ability to explain technical concepts to different audiences.

Nice To Haves

• Demonstrated ability to contribute to strategy and technical direction for AI platforms.
• Some experience in the insurance or financial services industry.
• Experience participating in AI solution development and deployments and helping teams adopt new technologies.
• Interest in the latest AI trends and technologies, with a willingness to learn and grow in the field.
• Experience with integration services, particularly MuleSoft.
• Enthusiasm for collaborating within cross-functional teams, fostering a culture of innovation and shared success.

Responsibilities

• Contribute to the design, development, and deployment of AI solutions that support our business goals and drive innovation.
• Work alongside the Solution Architect and team members to review designs, offer input, and help ensure technical alignment with stakeholder needs.
• Build and maintain integrations across enterprise systems, focusing on AI Gateway and orchestration layers.
• Assist with integrating AI solutions across enterprise systems, especially with AI Gateway and orchestration components.
• Support the use of MuleSoft and other integration tools to connect AI applications with key platforms and services.
• Help develop and apply best practices for testing AI products, focusing on performance, data quality, model evaluation, and identifying potential biases.
• Look for ways to enhance the AI platform by suggesting improvements in automation and system efficiency.
• Collaborate with and learn from other engineers, while sharing your own knowledge and supporting a culture of growth and teamwork.

Benefits

• Prioritization of your health and well-being including Medical, Dental, Vision, and Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents
• Generous paid time off options including: Paid Time Off, Holiday Schedules, and Financial Planning Time Off
• Paid Parental Leave as well as an Adoption Assistance Program
• Competitive 401k savings plan with company match and an additional contribution regardless of participation

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed