Senior AI/ML Engineer

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 Sr Engineer AI/ML is a capable, collaborative and experienced AI/ML Engineer in Artificial Intelligence and Machine Learning. This role is expected to be knowledgeable on the technical aspects of designing, implementing, and testing various initiatives in the Empower Technology Innovation Lab. This role will work both independently and collaboratively across multiple teams and will contribute to engineering decisions within the Innovation Lab technology team.

What you will do:

• Contribute to engineering decisions within the technology Innovation Lab team.
• Experiment with AI/ML technologies with a rigorous focus on business value.
• Research latest emerging technological patterns, technologies and products to inform strategic experimentation roadmap.
• Develop solutions that demonstrate real business value in a lab environment.
• Lead improvements within our development process, culture and tools.
• Design and develop CI/CD automated code delivery pipelines.
• Respond to evolving and changing security conditions. Implement and contribute to security guidelines.
• Understand and apply Empower's security controls in your design and code implementation.
• Assess a variety of third-party and open source technologies.
• Develop technical perspectives, standards, solutions and strategies that add value to the firm.
• Generate innovative ideas and develop prototypes and proof of concepts.
• Design effective solutions with well understood tradeoffs that meet the business requirements.
• Propose new and innovative solutions to meet the fast-changing business environment.
• Adapt to emerging and changing priorities.
• Execute work in an iterative and transparent fashion, regularly demonstrating progress, learnings and value.
• Partner with architecture to inform the design and implementation of the Innovation Lab cloud architecture.
• Consult with production teams who are delivering technological solutions that were incubated in the lab.
• Deliver value through a strong collaborative approach spanning multiple geographically dispersed teams.
• Open, honest and collaborative approach to problem solving.
• Adopt and contribute to best practices, standards & guidance.

​What you will bring:

• Bachelor’s degree in Computer Science, Computer Engineering or a related field of study (or equivalent experience)
• 4-7 years experience of professional software engineering with 3-4 years experience in the AI/ML space.
• Deep experience with cloud technologies and native cloud capabilities within platforms like AWS, Azure and Google Cloud Platform.
• Direct experience designing, building and delivering emerging technologies like Generative AI and Agentic Solutions.
• Experience with server-less applications through integrating Lambda functions and event sources, and Microservices.
• Experience with object-oriented programming and experience with at least one object-oriented programming language (Java, C#, Ruby, Python).
• Experience with at least one high-level programming language and web framework (NodeJS, Express, Hapi, etc.).
• Solid understanding of web technologies, such as JavaScript, CSS, HTML5, XML, JSON.
• Solid understanding of AWS database technologies such as RDS, DynamoDB, ElastiCache and database schema design.
• Experience in automated testing including unit and functional testing using Java, JUnit, JSUnit, Selenium, JMeter, LoadRunner.
• Knowledgeable in modern integration methods (API Gateway/Web Services, Messaging & RESTful architectures) along with preferred experience in legacy SOAP interfaces.
• Experience with DevOps processes and tools.
• Practical experience with Agile software development