What You'll Do As a Program Consultant - Software Engineering at Principal Financial Group, you will play a pivotal role in driving our AI-led transformation initiatives. This outstanding opportunity allows you to bring to bear your extensive expertise in enterprise technology and applied AI to develop high-impact solutions. Your responsibilities will include: Identifying and prioritizing high-value AI opportunities across engineering, platforms, operations, and modernization. Leading AI use cases from concept and feasibility assessment through pilot, production, adoption, and measurable value realization. Crafting, delivering, and modernizing large-scale enterprise applications using Java, Spring Boot, Microservices, APIs, and cloud-native architectures. Applying AWS cloud platforms and services, including Amazon Bedrock, Bedrock Agents, Knowledge Bases, SageMaker, and related AWS services to deliver enterprise AI solutions. Demonstrating a strong understanding of Generative AI, Agentic AI, AI Agents, A2A patterns, intelligent automation, Copilot and Claude capabilities. Applying your knowledge of timely engineering, RAG, grounding, model evaluation, orchestration, and human-in-the-loop patterns. Crafting reusable AI architecture patterns and integrating AI solutions with enterprise platforms, APIs, workflows, and data. Applying AI across SDLC, platform engineering, operations, application modernization, and cloud-native engineering environments. Ensuring Responsible AI practices, including security, privacy, model risk, data protection, and enterprise AI governance. Measuring AI outcomes through metrics such as efficiency, cycle time, efficiency, MTTR, quality, cost, adoption, and return on investment. Demonstrating strong enterprise leadership skills with the ability to influence and align engineering, platform, architecture, security, operations, and business teams. Translating emerging AI capabilities into practical enterprise solutions and measurable business outcomes. Your role will be instrumental in crafting the future of our technology landscape. We're looking for someone who is ambitious, collaborative, and ready to take on the challenge of delivering world-class AI solutions! Who You Are Education Qualifications Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related technical discipline. Master’s degree in Computer Science, Engineering, Technology, Business, or a related field is preferred but not required. Relevant certifications in AWS, Cloud, AI/ML, Generative AI, or enterprise architecture are preferred. Equivalent combination of relevant education and significant enterprise technology experience may be considered. As a Program Consultant - Software Engineering at Principal Financial Group, you will play a pivotal role in driving our AI-led transformation initiatives. This outstanding opportunity allows you to bring to bear your extensive expertise in enterprise technology and applied AI to develop high-impact solutions. Your responsibilities will include: Identifying and prioritizing high-value AI opportunities across engineering, platforms, operations, and modernization. Leading AI use cases from concept and feasibility assessment through pilot, production, adoption, and measurable value realization. Crafting, delivering, and modernizing large-scale enterprise applications using Java, Spring Boot, Microservices, APIs, and cloud-native architectures. Applying AWS cloud platforms and services, including Amazon Bedrock, Bedrock Agents, Knowledge Bases, SageMaker, and related AWS services to deliver enterprise AI solutions. Demonstrating a strong understanding of Generative AI, Agentic AI, AI Agents, A2A patterns, intelligent automation, Copilot and Claude capabilities. Applying your knowledge of timely engineering, RAG, grounding, model evaluation, orchestration, and human-in-the-loop patterns. Crafting reusable AI architecture patterns and integrating AI solutions with enterprise platforms, APIs, workflows, and data. Applying AI across SDLC, platform engineering, operations, application modernization, and cloud-native engineering environments. Ensuring Responsible AI practices, including security, privacy, model risk, data protection, and enterprise AI governance. Measuring AI outcomes through metrics such as efficiency, cycle time, efficiency, MTTR, quality, cost, adoption, and return on investment. Demonstrating strong enterprise leadership skills with the ability to influence and align engineering, platform, architecture, security, operations, and business teams. Translating emerging AI capabilities into practical enterprise solutions and measurable business outcomes. Your role will be instrumental in crafting the future of our technology landscape. We're looking for someone who is ambitious, collaborative, and ready to take on the challenge of delivering world-class AI solutions! Education Qualifications Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related technical discipline. Master’s degree in Computer Science, Engineering, Technology, Business, or a related field is preferred but not required. Relevant certifications in AWS, Cloud, AI/ML, Generative AI, or enterprise architecture are preferred. Equivalent combination of relevant education and significant enterprise technology experience may be considered.
