Principal Financial Group
NC
Aug 03, 2026
1 senior software engineer ii enterprise ai consulting embedded experts jobs found
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Senior Software Engineer II - Enterprise AI Consulting & Embedded Experts
**What You'll Do**
We're looking for a Senior Software Engineer II to join our AI Enablement product family within the Consulting & Embedded Experts team. In this role, you will operate as a trusted technical advisor and hands-on engineer, partnering directly 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 teams, shape solutions, and help scale AI capability through reusable patterns, platforms, and accelerators aligned to enterprise strategy.
**Drive AI Adoption & Business Value**
+ Partner with product and business teams to identify and deliver high-impact AI use cases aligned to enterprise priorities
+ Translate ambiguous business problems into practical, production-ready AI solutions
+ Focus on delivering value aligned to measurable outcomes and ROI
**Embed with Teams as a Technical Expert**
+ Act as an embedded engineer/architect within delivery teams to accelerate AI solution design and implementation
+ Bridge the gap between central AI enablement capabilities and domain-specific business needs
+ Collaborate in a federated operating model, enabling teams while maintaining enterprise standards
**Build & Scale Reusable AI Capabilities**
+ Contribute to and leverage enterprise AI platforms, MLOps/LLMOps capabilities, and reusable accelerators
+ Create reusable patterns (e.g., RAG architectures, evaluation frameworks, guardrails) that reduce time-to-market and cost
+ Help drive critical mass adoption of AI platforms across engineering teams
**Ensure Safe, Secure, and Sustainable AI**
+ Design AI solutions that meet enterprise standards for security, governance, and responsible AI
+ Implement guardrails, evaluation strategies, and monitoring to ensure trusted AI outcomes and customer protection
+ Champion sustainable engineering practices including reusability, scalability, and governance alignment
**Shape Technical Direction & Capability Maturity**
+ Assess emerging AI technologies and guide teams on when and how to adopt them responsibly
+ Help teams move up the AI maturity curve-from point solutions to enterprise-scale, embedded AI capabilities
+ Influence architecture decisions that enable long-term transformation, not just short-term delivery
**Enable & Elevate Others**
+ Mentor engineers and product teams on AI best practices, architecture, and delivery approaches
+ Act as a force multiplier, enabling teams rather than becoming a bottleneck
+ Contribute to internal knowledge sharing, playbooks, and AI community building (e.g., demos, patterns, guidance)
**About AI Enablement**
Our mission is to drive enterprise AI innovation through scalable platforms, reusable patterns, and strategic implementation, empowering teams to deliver secure, high-value AI solutions at scale.
We focus on:
+ Expanding workforce adoption of AI through accessible, secure capabilities
+ Providing engineer-friendly platforms and patterns to accelerate delivery
+ Delivering business-aligned use cases that create measurable value
**Who You Are**
+ Associate's or Bachelor's degree (preference in a science, technology, engineering, or math) or equivalent work experience
+ 8+ years of engineering experience, including building and scaling distributed systems
+ 5+ years of experience working with cloud platforms is required (AWS preferred but open to others)
+ 5+ years of experience of working with modern data/AI architectures is required.
+ Experience working in complex, matrixed environments with multiple stakeholders
+ Strong ability to operate in ambiguity and move between strategy and hands-on delivery
+ Proven ability to influence without authority and drive adoption across teams
+ Excellent communication skills-able to translate between technical and business audiences
**Skills That Will Help You Stand Out**
+ Experience building AI/ML or GenAI solutions in production environments
+ Familiarity with LLMOps, MLOps, evaluation frameworks, and AI guardrails
+ Experience with cloud platforms (e.g., AWS) and modern data/AI architectures
+ Background in solution architecture, consulting, or platform engineering
+ Experience building reusable frameworks, accelerators, or internal platforms
**Salary Range Information**
Salary ranges below reflect targeted base salaries. Non-sales positions have the opportunity to participate in a bonus program. Sales positions are eligible for sales incentives, and in some instances a bonus plan, whereby total compensation may far exceed base salary depending on individual performance. Actual compensation for all roles will be based upon geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer.
**Salary Range (Non-Exempt expressed as hourly; Exempt expressed as yearly)**
$127000 - $152000 / year
**Time Off Program**
Flexible Time Off (FTO) is provided t
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