Senior Software Engineer II is invited to join the AI Enablement product family within Principal's Consulting & Embedded Experts team. In this role you will act as a trusted technical advisor and hands-on engineer, partnering with product and business teams to accelerate the safe, secure, and scalable adoption of AI across the enterprise. Rather than owning a single product, you will embed with engineering teams, shape solutions, and help scale AI capability through reusable patterns, platforms, and accelerators aligned to enterprise strategy.

What you will do: - Drive AI adoption and business value by identifying high-impact AI use cases and translating ambiguous business problems into production-ready AI solutions with measurable ROI. - Embed with delivery teams as a technical expert, bridging central AI enablement capabilities with domain needs, and operating within a federated model while maintaining enterprise standards. - Build and scale reusable AI capabilities by contributing to enterprise AI platforms, MLOps/LLMOps capabilities, and accelerators; create reusable patterns (e.g., RAG architectures, evaluation frameworks, guardrails) to reduce time-to-market and cost; drive mass adoption of AI platforms across engineering teams. - Ensure safe, secure, and sustainable AI by designing solutions that meet security and governance standards; implement guardrails and monitoring to ensure trusted AI outcomes and customer protection; champion reusable governance practices. - Shape technical direction and capability maturity by assessing emerging AI technologies and guiding r

Senior Software Engineer II is invited to join the AI Enablement product family within Principal's Consulting & Embedded Experts team. In this role you will act as a trusted technical advisor and hands-on engineer, partnering with product and business teams to accelerate the safe, secure, and scalable adoption of AI across the enterprise. Rather than owning a single product, you will embed with engineering teams, shape solutions, and help scale AI capability through reusable patterns, platforms, and accelerators aligned to enterprise strategy.

What you will do: - Drive AI adoption and business value by identifying high-impact AI use cases and translating ambiguous business problems into production-ready AI solutions with measurable ROI. - Embed with delivery teams as a technical expert, bridging central AI enablement capabilities with domain needs, and operating within a federated model while maintaining enterprise standards. - Build and scale reusable AI capabilities by contributing to enterprise AI platforms, MLOps/LLMOps capabilities, and accelerators; create reusable patterns (e.g., RAG architectures, evaluation frameworks, guardrails) to reduce time-to-market and cost; drive mass adoption of AI platforms across engineering teams. - Ensure safe, secure, and sustainable AI by designing solutions that meet security and governance standards; implement guardrails and monitoring to ensure trusted AI outcomes and customer protection; champion reusable governance practices. - Shape technical direction and capability maturity by assessing emerging AI technologies and guiding r