Principal AI Architect

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The Baldwin Group

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

💸 Finanças

🤝 B2B

💰 $170.000.000 Post IPO debt em 2023-10

Finance • B2B

O Baldwin Group é uma empresa nacional de consultoria especializada em gestão de riscos e corretagem de seguros, oferecendo soluções abrangentes para empresas e indivíduos. A empresa fornece seguros comerciais, benefícios para funcionários, consultoria de aposentadoria, serviços de gestão de riscos privados e de patrimônio, além de ofertas especiais como resseguros e MGAs, desenvolvendo estratégias personalizadas para proteger ativos e apoiar o crescimento. A empresa enfatiza a colaboração, insights de mercado e planos personalizados para empresas de diversos setores, assim como para pessoas de alto poder aquisitivo.

Descrição

• Define and maintain the enterprise‑grade AI platform architecture, including orchestration layers, LLM integration patterns, vector/RAG pipelines, agent frameworks, API mesh, and reusable shared services. • Develop architectural standards, guardrails, and reference designs governing how engineering teams build and integrate AI workloads. • Translate business and product requirements into detailed technical designs, ensuring scalability, security, reliability, and alignment with enterprise architecture principles. • Evaluate build‑vs‑buy decisions for AI components, frameworks, and cloud services; develop recommendations and influence cross‑functional stakeholders. • Review solution designs from engineering teams; identify risks, surface architectural gaps, and recommend long‑term, sustainable approaches. • Partner with Security, Compliance, Legal, and Risk to embed SOX, SOC 2, PCI, PII, data residency, and other regulatory requirements into architectural designs. • Collaborate with Data Platform teams to define data access patterns, boundaries, governance expectations, and integration mechanisms aligned with enterprise data strategy. • Lead development of architectural decision records (ADRs), integration specifications, and platform documentation supporting engineering and compliance readiness. • Assess LLM providers, model hosting patterns (e.g., Bedrock, SageMaker, open-source models), and orchestration frameworks; continuously recommend improvements based on evaluation of emerging capabilities. • Drive cross-functional alignment on AI design choices and platform evolution; facilitate architectural reviews, design sessions, and technical deep dives. • Provide expert-level guidance and mentorship to engineering teams implementing AI services, pipelines, and production applications. • Ensure AI solutions follow cloud best practices across reliability, cost efficiency, observability, performance, and operational readiness. • Partner with Product, Engineering, and Enterprise Architecture to influence long-term platform direction, including multi-tenant patterns, internal developer experiences, and future-state AI services. • Support readiness for audits and risk assessments by ensuring AI platform design documentation, logs, and controls meet enterprise and regulatory expectations. • Champion engineering excellence, standardization, and modernization through clear architectural principles, platform governance, and adoption of best‑in‑class tools and patterns.

🎯 Requisitos

• Bachelor's degree in computer science, engineering, or related field required; master’s degree preferred. • 8–10+ years of progressive software/platform engineering experience, including substantial depth in AI/ML system architecture. • Hands-on experience designing and deploying production AI systems using LLMs, RAG pipelines, orchestration frameworks (e.g., LangChain, LlamaIndex), and cloud-native AI services. • Significant experience with AWS cloud architecture, including design of scalable, secure, highly available distributed systems. • Experience operating in regulated industries or environments with strong compliance expectations preferred (financial services, insurance, or equivalent). • Demonstrated ability to influence cross-functional leaders, drive architectural standardization, and guide complex technical initiatives. • Strong written and verbal communication skills, including production of decision-quality technical documentation. • Proven ability to lead architecture for large-scale platforms and guide engineering teams in adopting modern, standardized patterns.

🏖️ Benefícios

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Remote work options