Generative AI Enterprise Architect

🕒 4 days ago

🇺🇸 United States – Remote

💵 $151.8k - $220.1k / year

⏰ Full Time

🟠 Senior

🔴 Lead

💻 IT Support

🦅 H1B Visa Sponsor

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Empower

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Define the architectural strategy for Generative AI, LLM, and AI platform capabilities across the enterprise • Shape how enterprise data, knowledge, and metadata are structured and accessed for AI-driven use cases • Establish patterns for data flows across ingestion, transformation, indexing, embeddings, and retrieval • Guide how AI systems handle ambiguity, variability, and non-deterministic behavior • Influence how models, data sources, APIs, and workflows are orchestrated into scalable systems • Establish how AI systems are evaluated, observed, and operated in production, including output quality, system behavior, and reliability • Set architectural direction, make key design decisions, and guide engineering and platform teams toward a consistent, scalable approach

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field • 10+ years of experience in data architecture, AI/ML systems, or distributed platform design • Experience setting architectural direction and influencing system design across teams • Strong background in data modeling, data pipelines, and large-scale data systems • Understanding of retrieval, search, and indexing systems • Knowledge of Generative AI architectures, including LLMs, embeddings, RAG, tool-calling agents, API integration, human-in-the-loop approvals, agent identity, multi-agent patterns, MCP and A2A-style integrations, and controlled autonomy • Experience with modern data and cloud platforms, especially AWS and Snowflake • Experience with Bedrock, vector databases, hybrid search, APIs, event-driven architecture, IAM, observability, CI/CD, infrastructure as code, and model selection across LLMs, SLMs, and multimodal models • Ability to design systems balancing scalability, performance, cost, and operational complexity • Applicants must be authorized to work for any employer in the U.S.; employment visa sponsorship is unavailable • Reliable high-speed internet with a wired connection and a minimally disruptive home workspace for remote work • Preferred: experience architecting or scaling Generative AI or LLM-based systems in production • Preferred: depth in information retrieval, semantic search, or knowledge-based architectures • Preferred: experience designing systems where AI outputs influence user decisions, workflows, or downstream actions • Preferred: practical understanding of system failure modes and safeguards for non-deterministic behavior • Preferred: targeted certifications in AWS, Snowflake, or applied machine learning, with exposure to Generative AI platforms such as AWS Bedrock or similar

🏖️ Benefits

• 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 time off upon hire – including a paid time off program plus ten paid company holidays and three floating holidays each calendar year • Paid volunteer time — 16 hours per calendar year • Leave of absence programs – including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA) • Business Resource Groups (BRGs) facilitating inclusion and collaboration • Flexible work environment • Other necessary computer equipment will be provided • Non-sales positions have the opportunity to participate in a bonus program