A bit about this role:Brightside is seeking a Principal Architect, Data & AI Platforms, to own and evolve the technical foundations that power our AI-driven experiences, platform integrations, and analytics. This is a senior, hands-on architecture role designed for someone who combines deep data architecture expertise, strong applied AI judgment, and the ability to translate business strategy into durable technical systems.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:Enterprise Data & AI ArchitectureOwn the data and AI architecture across the company, spanning:AI-powered systems and decisioning workflowsCore application platformsAnalytics and reporting layersDefine and evolve canonical data models across clients, employers, partners, financial products, and outcomesEnsure consistency across transactional systems, analytical platforms, and AI feature layersData Strategy & Integration LeverageAct as the company’s data strategy expert, with deep understanding of:Employer integrations (eligibility, payroll, SSO, identity)Partner integrations and product dataExternal and enrichment data sources (e.g., credit, public datasets)Identify which data sources meaningfully compound business and product value, and which do notGuide integration and platform investments based on data leverage and long-term value, not just feature demandAI System Design & GovernanceDesign and govern production-grade AI systems, including:LLM-based applications (RAG, prompt orchestration, embeddings, vector stores)Decisioning and automation workflowsEvaluate and govern AI models and platforms (e.g., OpenAI, Anthropic, open-source), balancing:Accuracy and reliabilityCost and latencySecurity, privacy, and explainabilityDefine standards for AI lifecycle management (build, deploy, monitor, iterate, retire)Architecture Authority & Decision-MakingAct as the decision-maker for data and AI architecture decisions across engineering teamsPartner with the Enterprise Architecture Board to review proposals, surface risks, and ensure coherenceEstablish clear architecture standards and review processes that enable teams to move fast without creating long-term risk or technical debtPrototyping & Technical DiscoveryLead rapid prototyping and technical discovery to:Test architectural assumptionsEvaluate new AI approachesInform investment and roadmap decisionsPersonally build or lead proofs-of-concept where needed to drive alignment and reduce uncertaintyExecutive & Cross-Functional PartnershipPartner closely with the CTO, Product leaders, Analytics, and Engineering to:Translate business strategy into technical directionAlign data, AI, and platform investmentsServe as a trusted technical advisor to executive leadership on data, AI, and platform tradeoffsHow You’ll WorkHands-on, opinionated, and pragmaticFocused on clarity over complexityComfortable saying no to poor architectural decisions - and explaining whyOriented toward production outcomes, not theoretical eleganceBalancing experimentation with rigor in a regulated fintech environmentWhat 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 experienceDeep expertise in data architecture and data modeling, including relational databases, event-driven systems, and analytical data platformsStrong experience designing and operating data platforms at scale, including data lakes/warehouses and real-time pipelinesStrong 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 requirementsStrong 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 experienceStrong communication skills and comfort influencing across engineering, product, and executive leadershipExperience serving as a Lead Architect in a high-growth or transformation-stage companyBackground in financial systems, payments, lending, or financial data platformsExperience with AI governance, model risk management, or explainability frameworksTrack record of improving engineer productivity through platform and architecture designWhy 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 holisitc 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, a great 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.
