Principal AI Architect

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The Baldwin Group

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1001 - 5000 Mitarbeiter

💸 Finanzen

🤝 B2B

💰 €170.000.000 Post IPO debt im 2023-10

Finance • B2B

Die Baldwin Group ist eine nationale Beratungsfirma, die sich auf Risikomanagement und Versicherungsmakler spezialisiert hat und umfassende Lösungen für Unternehmen und Privatpersonen anbietet. Sie bietet Gewerbeversicherungen, Mitarbeitervergünstigungen, Rentenberatung, private Risiko- und Vermögensverwaltung sowie spezielle Angebote wie Rückversicherung und MGAs und entwickelt Strategien zum Schutz von Vermögenswerten und zur Unterstützung des Wachstums. Die Firma legt Wert auf Zusammenarbeit, Marktkenntnisse und maßgeschneiderte Pläne für Unternehmen aus verschiedenen Branchen sowie für vermögende Privatpersonen.

Beschreibung

• 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.

🎯 Anforderungen

• 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.

🏖️ Vorteile

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