Principal Engineer AI & ML

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.

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time, including CPT/OPT.

• Lead engineering decisions and provide technical leadership within the GenAI team.
• Research technological patterns, technologies, and products, and assess third-party and open source tools to shape the strategic GenAI and ML platform roadmap.
• Experiment with emerging technologies with a rigorous focus on business value, and generate Enterprise scale solutions and capabilities.
• Design effective solutions with well understood tradeoffs that meet business requirements, adapting to changing priorities and proposing new approaches for a fast-changing environment.
• Partner with architecture and security to apply Empower security controls and guidelines in design and implementation, and consult with production teams delivering solutions for the platform.
• Improve development processes, culture, and tools, including designing and developing CI/CD automated delivery pipelines, working iteratively and transparently, and mentoring engineers across geographically dispersed teams.

• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
• 10+ years of professional software engineering experience, including AI and machine learning.
• Deep experience with cloud platforms and native capabilities across AWS, Azure, and/or Google Cloud Platform.
• Proven experience designing, building, and delivering emerging technologies, including AI/ML, using serverless (Lambda with event sources) and microservices.
• Strong software engineering skills, including object-oriented programming in at least one language (Java, C#, Ruby, Python) and experience with a high-level language and web framework (NodeJS with Express, Hapi, or similar).
• Experience with cloud architecture patterns/frameworks (for example AWS Well Architected Framework), Dev Ops processes and tools, automated testing, modern integrations (API Gateway/Web Services, messaging, REST, plus exposure to SOAP), and working knowledge of web technologies and AWS databases (RDS, Dynamo
  
  DB, Elasti Cache) including schema design.

• Experience coaching and managing engineering and QA teams.
• AWS solutions, developer or ML AI certification.

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 to 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 offer an array of diverse and inclusive benefits regardless of where you are in your career. We believe that providing our employees with the means to lead healthy balanced lives results in the best possible work performance.

• Medical, dental, vision and life insurance
• Retirement savings - 401(k) plan with generous company matching contributions (up to 6%), financial advisory services, potential company discretionary contribution, and a broad investment lineup
• Tuition reimbursement up to $5,250/year
• Business-casual environment that includes the option to wear jeans
• Generous paid…