Engineer AI Platform

Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own. We have a flexible work environment, and fluid career paths. We not only encourage but celebrate internal mobility. We also recognize the importance of purpose, well-being, and work-life balance. Within Empower and our communities, we work hard to create a welcoming and inclusive environment, and our associates dedicate thousands of hours to volunteering for causes that matter most to them.

Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself.

The AI Platform Developer designs, builds, tests, deploys, and supports reusable enterprise AI platform capabilities. The role enables AI solution teams to adopt approved patterns for model access, experimentation, orchestration, retrieval augmented generation, observability, security controls, and integration with enterprise systems.

ESSENTIAL FUNCTIONS:

• Develop and maintain reusable AI platform services, APIs, SDKs, and automation patterns.
• Implement integrations with approved LLM services, AI gateways, orchestration frameworks, vector/search services, and enterprise identity patterns.
• Build and support CI/CD, infrastructure-as-code, automated testing, telemetry, and operational runbooks for AI platform components.
• Partner with architecture, cybersecurity, data, privacy, and solution delivery teams to ensure platform capabilities meet enterprise controls.
• Troubleshoot incidents, reliability issues, performance bottlenecks, access issues, and environment defects across development and test environments.
• Document platform patterns, onboarding guidance, reusable components, and developer enablement material.

QUALIFICATIONS:

Education: University or College education in Computer Science, Engineering, Data/Analytics, Business/Technology, Risk/Governance, or related field; equivalent experience considered.

Experience and skills:

• 1-5 years of experience in building backend services, APIs, automation, cloud-native applications, or platform services.
• Hands-on experience with Python and modern software engineering practices; JavaScript/TypeScript or Java/.NET is an asset.
• Experience with Azure, Azure DevOps or GitHub Enterprise, CI/CD, containers, Infrastructure as Code, logging, monitoring, and secure development practices.
• Exposure to LLM application patterns, RAG, prompt orchestration, vector search, model evaluation, and AI observability is preferred.
• Strong collaboration, documentation, problem solving, and operational support skills.

This job description is not intended to be an exhaustive list of all duties, responsibilities and qualifications of the job.  The employer has the right to revise this job description at any time.   You will be evaluated in part based on your performance of the responsibilities and/or tasks listed in this job description.   You may be required perform other duties that are not included on this job description.  The job description is not a contract for employment, and either you or the employer may terminate employment at any time, for any reason.

We are an equal opportunity employer with a commitment to diversity.  All individuals, regardless of personal characteristics, are encouraged to apply.  All qualified applicants will receive consideration for employment without regard to age, race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law.