Generative AI Enterprise Architect

🕒 vor 1 Tag

🇺🇸 Vereinigte Staaten – Remote

💵 $151.800 - $220.050 / Jahr

⏰ Vollzeit

🟠 Senior

🔴 Experte

🤖 KI-Ingenieur

🦅 H1B-Visum-Sponsor

info

🗣️🇺🇸🇬🇧 Englisch erforderlich

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Empower

10.000+ Mitarbeiter

💸 Finanzen

💳 Fintech

👥 B2C

Finance • Fintech • B2C

Empower ist ein führender Anbieter von Finanzdienstleistungen, der sich darauf konzentriert, Einzelpersonen und Organisationen dabei zu helfen, finanzielle Freiheit durch Altersvorsorge und Investmentmanagement zu erreichen. Mit über 19 Millionen Kunden in den USA bietet Empower eine umfassende Palette an finanzbezogenen Dienstleistungen an, darunter intelligente Planung und Anlageberatung sowie Tools wie das Empower Personal Dashboard™ für einen vollständigen Finanzüberblick. Das Unternehmen ist bekannt als führender Anbieter von Altersvorsorgeplänen und arbeitet eng mit privaten Anlegern, Arbeitsplatzsparer, Plan-Sponsoren und Finanzfachleuten zusammen. Empower wird auch für Initiativen in den Bereichen Diversity, Equity, Inclusion anerkannt und hat ein soziales Engagement, das die Wirkung in der Gemeinschaft stärkt.

Beschreibung

• 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

🎯 Anforderungen

• 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

🏖️ Vorteile

• 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

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