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 how 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.

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, along with 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, including 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 that balance scalability, performance, cost, and operational complexity.

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) – BRGs facilitate inclusion and collaboration across our business internally and throughout the communities where we live, work and play. BRGs are open to all.

Generative AI Enterprise Architect

Key skills