AI Engineer – Model Enablement & Operations

Principal Financial Group • Des Moines, IA

15h • Hybrid

About The Position

As a Mid-Level AI Engineer on our Model Enablement & Operations (MOE) team within the Enterprise Data & Analytics AI Enablement family, you’ll work at the forefront of LLMOps, MLOps, and enterprise AI platforms. You’ll help design, build, and scale AI capabilities across the organization, enabling teams to deliver high-quality, reliable, and observable AI solutions. You’ll collaborate with a strong community of engineers and architects to develop systems that transform how we serve our customers through AI. Operating at the intersection of financial services and technology, Principal builds financial tools that help our customers live better lives. We take pride in being a purpose-led firm, motivated by our mission to make financial security accessible to all. Our mission, integrity, and customer focus have made us a trusted leader for more than 140 years.

Requirements

• Bachelor’s degree in Computer Science, Data Science, or a related field
• 3+ years of experience in AI engineering, machine learning, or software development
• Experience working with ML and GenAI frameworks and cloud platforms (AWS, including SageMaker and Bedrock, preferred)
• Strong programming skills and experience building production-grade systems
• Familiarity with data profiling, exploration, and visualization techniques
• Experience deploying AI applications, including CI/CD and automation practices
• Exposure to AI observability or model monitoring tools
• Solid understanding of advanced analytics techniques and their real-world applications

Nice To Haves

• Hands-on experience building or contributing to a GenAI or AI application platform
• Experience with model monitoring, evaluation, and performance optimization
• Strong communication skills, with the ability to translate technical concepts for business partners
• Exposure to enterprise or solutions architecture patterns
• Experience mentoring or guiding junior engineers
• Understanding of cloud data platforms and database concepts

Responsibilities

• Design and develop scalable machine learning and generative AI solutions, with a focus on reliability, monitoring, and quality
• Build and maintain CI/CD pipelines that integrate data, ML, and LLM services end-to-end
• Partner with cross-functional teams to deliver AI solutions that drive measurable business outcomes
• Contribute to enterprise and innersource platforms, improving reuse and reducing technical debt
• Implement and enhance AI observability and model monitoring capabilities to ensure performance, stability, and risk mitigation in production
• Develop reusable patterns, frameworks, and toolkits that enable teams across the enterprise to effectively adopt and scale AI solutions
• Partner closely with AI Governance and Risk teams to establish guardrails, standards, and best practices for responsible AI development and operations

Benefits

• Flexible Time Off (FTO)
• Pension Eligible
• Bonus program (for non-sales positions)
• Sales incentives (for sales positions)
• Comprehensive, competitive benefit offerings crafted to protect their physical, financial, and social well-being

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level