Generative AI Architect

Job not on LinkedIn

🕒 August 5

🇺🇸 United States – Remote

💵 $151.8k - $220.1k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 47%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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

• Own the architectural strategy and key decisions for designing and scaling Generative AI capabilities across the enterprise • Define how enterprise data, knowledge, and metadata are organized for reliable AI access and use • Establish information flows from source systems through curation, indexing, embedding, and retrieval into AI-driven interactions • Set direction for embedding AI capabilities into customer touchpoints, internal tools, and operational workflows • Develop Agent Framework architecture • Define enterprise data models and domain structures enabling contextual reasoning and grounded outputs • Establish how knowledge is represented, versioned, and maintained for accuracy and relevance • Define how retrieval systems select, rank, and deliver context to models • Establish patterns for non-deterministic behavior, including variability, ambiguity, and failure scenarios • Define orchestration layers coordinating models, data sources, APIs, and downstream systems into controlled workflows • Establish patterns for multi-step AI workflows, tool usage, execution boundaries, and escalation paths • Assist the RAI team in defining evaluation of AI outputs for quality, consistency, and downstream impact • Identify fragmentation across data, tools, and implementations and drive consolidation into coherent architectural patterns

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field • Ten or more years of experience across data architecture, distributed systems, or enterprise platform design • Experience owning architectural direction and influencing system design across multiple teams • Strong understanding of data architecture, including structured and unstructured data modeling, governance, and accessibility across complex systems • Experience designing large-scale systems integrating data platforms, APIs, and distributed services • Practical knowledge of modern data platforms such as Snowflake, including ingestion, transformation, and consumption layers • Understanding of retrieval, indexing, and search systems operating at scale • Deep familiarity with Generative AI and Agentic AI concepts, including embeddings, retrieval, prompt composition, agent memory, and orchestration • Ability to design systems balancing performance, scalability, cost, and operational complexity • Strong grasp of access control, security, and governance within distributed environments • Experience with third-party and open-source Agent Frameworks • Ability to direct the enterprise on prompt injection risk, data leakage, least privilege, auditability, DLP, model risk controls, regulatory expectations, and safe use of agents connected to enterprise systems • Ability to translate complex system behavior into clear architectural direction • Strong decision-making skills with the ability to evaluate tradeoffs and set direction under uncertainty • Experience designing systems where AI outputs directly drive user actions, decisions, or automated workflows • Depth in information retrieval, search systems, or large-scale knowledge architectures • Experience managing output quality, consistency, and trust • Ability to design for ambiguity, variability, and imperfect data • Strong intuition for how data structure, context selection, and system design impact model outputs • Track record of simplifying complex, fragmented systems into reusable architectural patterns • Experience identifying where AI is appropriate and where alternative approaches produce better outcomes • Practical understanding of production failures and safeguard/fallback strategies • Ability to anticipate scaling challenges • Targeted certifications in AWS architecture, Snowflake data platforms, or applied machine learning are recognized as expertise • Demonstrated depth in Generative AI platforms such as AWS Bedrock or equivalent LLM ecosystems • Applicants must be authorized to work for any employer in the U.S.; no employment visa sponsorship, including CPT/OPT • Reliable high-speed internet with a wired connection and an adequate home workspace for remote work

🏖️ 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) • Bonus program opportunity for non-sales positions • Other necessary computer equipment will be provided