Darum lohnt es sich
Responsibilities Help design and deliver AI-powered solutions that improve operational efficiency, automation, and decision‑making across regulated environments Lead the architecture and implementation of enterprise AI capabilities Design secure AI architectures for regulated environments Implement AI governance and model security controls Support FedRAMP, RMF, CMMC, and government compliance requirements Develop reusable compliance intelligence and automation frameworks Define and evolve enterprise AI platform strategy Design scalable AI services, agent frameworks, and orchestration patterns Evaluate and integrate emerging AI technologies Design API‑first architectures and workflow orchestration strategies Integrate AI capabilities with Microsoft Copilot Studio, Power Platform, ServiceNow, Archer, eMASS, and Security and compliance tooling.
Requirements 10+ years of software, platform, or solution architecture experience 3+ years building production AI systems Experience leading architecture from concept through deployment Agentic AI architectures RAG and vector databases LLM orchestration frameworks Cloud‑native architectures Enterprise SaaS platforms API integrations and workflow orchestration OpenAI, Anthropic, Azure AI, AWS Bedrock,
