Senior Solutions Architect - Emerging Technologies (AI, GenAI, ML)

Senior Solutions Architect - Emerging Technologies (AI, GenAI, ML)

Job ID R.0055705 Date posted 07/21/2026 Worker type Regular Workplace flexibility Remote - Nationwide

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.

The Senior Solutions Architect provides technical leadership and designs complex solution architectures that support business strategy and streamline technology-enabled workflows. This role partners closely with business owners, product, data, and engineering teams to document current-state systems and design scalable, resilient, and secure cloud-based solutions. This position focuses on emerging technologies, including AI, Generative AI, and machine learning, and guides solutions from research and analysis through architecture, delivery support, and operational readiness.

What you will do: 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. Establish best practices for MLOps and AI operations, including model versioning, deployment, monitoring, drift detection, incident response, and cost management. Incorporate security-by-design practices into architectures, including identity and access control, authentication, authorization, and data protection considerations.

Requirements

• Experience designing cloud-native architectures for AI/GenAI/ML applications
• Strong knowledge of MLOps, model deployment, monitoring, and cost management
• Ability to translate business needs into technical architectures and roadmaps
• Familiarity with data pipelines, feature stores, vector storage, and model endpoints
• Proven ability to lead cross-functional collaboration with product, data, and engineering teams
• Excellent written and verbal communication skills
• Authorization to work in the U.S. without sponsorship is required

Nice-to-have:

• Experience with retrieval-augmented generation, prompt engineering concepts, and enterprise API integrations
• Security-by-design mindset and knowledge of identity and access management in cloud environments

Benefits and culture:

• Flexible work environment and supportive culture focused on work-life balance
• Opportunities for internal mobility and career growth
• Commitment to inclusion and volunteering in the community

EEO statement and equal opportunity policies:

• Empower is an equal opportunity employer and values diversity in its workforce.