Principal Data / AI ArchitectBrightside Benefit, Inc. • Saint Paul, Illinois, United States
Dieses Stellenangebot ist nicht mehr verfügbar
Principal Data / AI Architect
Brightside Benefit, Inc.
- Saint Paul, Illinois, United States
- Saint Paul, Illinois, United States
Über
This role reports directly to the CTO and serves as the CTO’s right-hand partner for data, AI, and platform architecture decisions. You will have clear decision authority over data and AI architecture across engineering teams, while partnering closely with Product, Analytics, and Engineering leadership to ensure speed, quality, and long-term integrity.
This is not a research role, nor a people-management role. It is an execution-oriented architecture leadership role focused on clarity, leverage, and outcomes.
The meaningful work you will tackle
Own the data and AI architecture across the company, spanning:
AI-powered systems and decisioning workflows
Core application platforms
Analytics and reporting layers
Define and evolve canonical data models across clients, employers, partners, financial products, and outcomes
Ensure consistency across transactional systems, analytical platforms, and AI feature layers
Act as the company’s data strategy expert, with deep understanding of:
Employer integrations (eligibility, payroll, SSO, identity)
Partner integrations and product data
External and enrichment data sources (e.g., credit, public datasets)
Identify which data sources meaningfully compound business and product value, and which do not
Guide integration and platform investments based on data leverage and long‑term value, not just feature demand
AI System Design & Governance
Design and govern production‑grade AI systems, including:
LLM‑based applications (RAG, prompt orchestration, embeddings, vector stores)
Decisioning and automation workflows
Evaluate and govern AI models and platforms (e.g., OpenAI, Anthropic, open‑source), balancing:
Accuracy and reliability
Cost and latency
Security, privacy, and explainability
Define standards for AI lifecycle management (build, deploy, monitor, iterate, retire)
Architecture Authority & Decision‑Making
Act as the decision‑maker for data and AI architecture decisions across engineering teams
Partner with the Enterprise Architecture Board to review proposals, surface risks, and ensure coherence
Establish clear architecture standards and review processes that enable teams to move fast without creating long‑term risk or technical debt
Prototyping & Technical Discovery
Lead rapid prototyping and technical discovery to:
Test architectural assumptions
Evaluate new AI approaches
Inform investment and roadmap decisions
Personally build or lead proofs‑of‑concept where needed to drive alignment and reduce uncertainty
Executive & Cross‑Functional Partnership
Partner closely with the CTO, Product leaders, Analytics, and Engineering to:
Translate business strategy into technical direction
Align data, AI, and platform investments
Serve as a trusted technical advisor to executive leadership on data, AI, and platform trade‑offs
How You’ll Work
Hands‑on, opinionated, and pragmatic
Focused on clarity over complexity
Comfortable saying “no” to poor architectural decisions - and explaining why
Oriented toward production outcomes, not theoretical elegance
Balancing experimentation with rigor in a regulated fintech environment
What we’re looking for in your background & what makes you a success
10+ years of experience in software engineering, data architecture, or systems architecture, with significant hands‑on experience
Deep expertise in data architecture and data modeling, including relational databases, event‑driven systems, and analytical data platforms
Strong experience designing and operating data platforms at scale, including data lakes/warehouses and real‑time pipelines
Strong experience designing and operating AI/ML systems in production, including LLM‑based architectures (RAG, embeddings, vector databases, prompt orchestration)
Proven experience in regulated environments (fintech, financial services, healthcare, etc.), with an understanding of data privacy, security, and compliance requirements
Strong in modern cloud architectures (e.g., AWS) and modern data stacks (e.g., Databricks)
Ability to connect technical decisions to business outcomes, including cost efficiency, scalability, risk mitigation, and customer experience
Strong communication skills and comfort influencing across engineering, product, and executive leadership
Experience serving as a Lead Architect in a high‑growth or transformation‑stage company
Background in financial systems, payments, lending, or financial data platforms
Experience with AI governance, model risk management, or explainability frameworks
Track record of improving engineer productivity through platform and architecture design
Why Brightside For our clients - our mission is clear. To improve the financial health of working families. Brightside is an employee benefit with a brand‑new approach to personal finance. We offer unique solutions to help with anything related to finances, emotions and behaviors that can impact our clients. We take a holistic view to provide unbiased and confidential assistance through an unmatched blend of products, technology and true human care. Our goal is to make it easier for our clients to understand their options to obtain long‑term financial health and gain peace of mind when it comes to financial matters.
For our employees - we believe in inspiring careers, agreat life/work balance and meaningful work that truly makes a difference in the lives of working families. Your work will have direct impact on the lives of our clients. You will have the opportunity to see a growing start‑up from the inside out and see how passionate our employees are about the work we do and the outcomes we are creating for others.
#J-18808-Ljbffr
Sprachkenntnisse
- English
Hinweis für Nutzer
Dieses Stellenangebot wurde von einem unserer Partner veröffentlicht. Sie können das Originalangebot einsehen hier.