
10,000+ employees
💸 Finance
💳 Fintech
👥 B2C
Finance • Fintech • B2C
Empower is a leading provider of financial services focused on helping individuals and organizations achieve financial freedom through retirement planning and investment management. Serving over 19 million Americans, Empower offers a comprehensive suite of finance-related services, including smart planning and investment advice, and tools like the Empower Personal Dashboard™ for a complete financial view. The company is renowned as a top retirement plan provider and works closely with personal investors, workplace plan savers, plan sponsors, and financial professionals. Empower is also recognized for initiatives in Diversity, Equity, Inclusion, and has a social commitment that bolsters community impact.
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10,000+ employees
💸 Finance
💳 Fintech
👥 B2C
Finance • Fintech • B2C
Empower is a leading provider of financial services focused on helping individuals and organizations achieve financial freedom through retirement planning and investment management. Serving over 19 million Americans, Empower offers a comprehensive suite of finance-related services, including smart planning and investment advice, and tools like the Empower Personal Dashboard™ for a complete financial view. The company is renowned as a top retirement plan provider and works closely with personal investors, workplace plan savers, plan sponsors, and financial professionals. Empower is also recognized for initiatives in Diversity, Equity, Inclusion, and has a social commitment that bolsters community impact.
• Lead discovery with business and technology partners to understand objectives, constraints, current-state systems, and integration points • Document current-state architecture and define target-state designs including system context diagrams, component designs, integration patterns, and data flows • Design and modernize applications into cloud-compatible or cloud-native architectures using microservices, serverless, and event-driven patterns where appropriate • Create strategies, roadmaps, and migration designs for transitioning applications and data workloads to cloud platforms • Design AI and ML-enabled solutions, including model integration into products and business processes, and patterns for scalable inference and low-latency serving where needed • Design Generative AI solution patterns, such as retrieval-augmented generation, tool and API integration, prompt and context management, and evaluation approaches • Define reference architectures for AI platforms and enabling capabilities, such as data pipelines, feature and embedding generation, vector storage, model endpoints, and integration with enterprise APIs • Define integration patterns for agent toolchains using standards and common approaches such as Model Context Protocol (MCP), skills and plugin manifest standards, function calling with JSON Schema tool definitions, OpenAPI-based tool specifications, and event-driven or message-based tool execution patterns • Ensure integrations address authentication and authorization, data minimization, auditability, and isolation boundaries • Incorporate security-by-design practices into architectures, including identity and access controls, encryption, secrets management, secure networking, and audit logging • Partner with governance and risk stakeholders to ensure responsible AI considerations are incorporated, including privacy, explainability, safety, compliance, and model risk controls as applicable • Drive alignment and adoption of proposed solutions by clearly communicating tradeoffs, risks, and value and obtaining stakeholder alignment and governance approvals • Support teams responsible for testing and validation and help triage and resolve design-related issues found during development, UAT, or production • Perform other duties as assigned
• Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, Business, or equivalent practical experience • 5+ years of experience in agile software delivery environments with increasing architecture and design responsibility • Demonstrated experience designing distributed systems using microservices and or serverless patterns • Experience designing and integrating AI and ML capabilities into applications, including model serving considerations and data dependencies • Experience with one or more languages such as Java, Python, Node.js, or Scala • Experience with data persistence technologies across SQL and NoSQL • Experience with at least one major cloud provider, AWS, Azure, or Google Cloud, and core cloud design patterns • Working knowledge of CI/CD pipelines and DevOps practices, including automated testing and deployment automation • Strong communication skills and ability to translate business needs into clear technical direction
• We have a flexible work environment • Internal mobility opportunities • Purpose and well-being focus • Work-life balance promoting
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