Empower
Generative AI Enterprise Architect
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Generative AI Enterprise Architect
About Empower
Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to shape their own. We offer:
- Flexible work environment and fluid career paths
- Internal mobility encouragement and celebration
- Focus on purpose, well-being, and work-life balance
- A welcoming and inclusive corporate culture
Associates at Empower dedicate thousands of hours to volunteering for causes they care about. We empower you to chart your own career trajectory while enabling more customers to achieve financial freedom. Empower Yourself.
⚠ Note: Applicants must be authorized to work in the U.S. As a non-sponsoring employer, we cannot sponsor or assist with employment visas (including CPT/OPT).
About the Role: Enterprise Data Architect
We are seeking an Enterprise Data Architect (Remote/Hybrid) to define, structure, and scale Generative AI capabilities across the enterprise. This role ensures that data, knowledge, and large language models (LLMs) work cohesively to drive AI-powered interactions in customer experiences, internal tools, and operations.
You will shape information flow across the organization, overseeing how AI systems access, interpret, and apply data. Your work spans structured and unstructured data preparation, indexing, and retrieval, ensuring reliable and high-quality outputs.
This is a strategic architecture role, where you provide leadership in:
- Defining architectural strategy for Generative AI, LLM, and AI platforms
- Overseeing data structures and access patterns for enterprise AI use cases
- Establishing patterns for data pipelines (ingestion, transformation, embeddings, retrieval)
- Guiding AI systems in handling ambiguity, variability, and non-deterministic behavior
- Designing scalable orchestration of AI models, data sources, APIs, and workflows
You will directly influence system design across engineering and platform teams, balancing scalability, performance, cost, and complexity.
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Key Responsibilities
Define the architectural strategy for Generative AI platforms across the enterprise Structure enterprise data, knowledge, and metadata for AI-driven applications Establish data integration and retrieval patterns across:
- Ingestion
- Transformation
- Indexing
- Embeddings
- Search-based retrieval Influence AI output handling for reliability, safety, and business impact Design and evaluate AI systems (model selection, performance monitoring, reliability safeguards) Work with product, engineering, and operations teams to ensure seamless AI deployment
Requirements
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field
- 10+ years of hands-on experience in:
- Data architecture or design
- AI/ML systems or distributed platform design
- Strong track record in setting architectural direction that impacts team-wide system design
- Deep expertise in:
- Data modeling and pipeline orchestration
- Large-scale data systems (structured and unstructured)
- Semantic search, indexing, retrieval, and information architecture
- Generative AI semantics (LOFFs, RAG, context relevance, MBP/A2A patterns)
- Experience with:
- Modern cloud platforms (AWS/GCP/Azure), especially:
- AWS Bedrock, Snowflake
- Vector databases, hybrid indexing
- APIs, event-driven architectures, CI/CD/IaC
- Large language and multimodal models (types: LLMs, SLMs, vision)
- Modern cloud platforms (AWS/GCP/Azure), especially:
- Ability to architect systems that balance scalability, performance, and cost-efficiency
Nice to Haves
- Certifications in AWS, Snowflake, or applied machine learning, preferably in Generative AI (e.g., AWS Bedrock).
- Proven track record of scaling Generative AI/LLM systems in production.
- Exposure to knowledge-based architecture, multi-agent frameworks, and human-in-the-loop validation.
- Strong intuition for how data structure, retrieval, and context design impact AI output quality.
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** Pyrénées Environs & Compliance**
This role operates in a professional office setting, and suitability for external work depends on reliable local infrastructure.
⚠ All job elements listed are exemplary, not exhaustive, and subject to modify without notice.
What We Offer Our Team
We prioritize an inclusive workspace, fostering:
🌃 Health & Wellness:
- Comprehensive health, dental, vision, and life insurance
- Retirement: 401(k) with company match (6%), financial advisors, discretionary contributions, and a diversified fund lineup
- Leadership resources and career growth initiatives
📚 Education & Growth:
- Tuition reimbursement up to $5,250/year
👔 Flexible & Supportive Culture:
- Business-casual attire with optional “wear jeans” flexibility
- Generous paid leave (base PTO policy + 13 paid holidays, 3 floating days/year)
- Volunteer time (16 hours/year, company-paid)
- Leave programs (paid parental leave, FMLA, disability policies)
🤝 Community & Resource Enhancement:
- Workplace affinity groups (BRGs) fostering collaboration across communities
- A safe, welcoming environment where innovation and diversity thrive
✅ Equity & Flexibility on Base & Incentives:
- Base Range: $151,800 – $220,050
- Additional incentive programs available for non-sales roles (non-indexed)
- Eligible sales roles may earn performance-based promotions beyond standard ranges
⚠ Policy Notes:
- Drug-free workplace
- Equal opportunity employer (EOE) prohibiting discrimination based on protected classes
- See post for remote/hybrid requirements on workspace and internet infrastructure
📢 Job Posting Cutoff: July 7, 2024, PT/I
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