Enterprise AI Platform Engineer (Hybrid)

Securian Financial; Saint Paul (MN); Hybrid; USD 121,000 - 147,000; Full time

Benefits offered by this job

Paid time off

Holidays

Health insurance

401(k)

Job summary

Securian Financial is seeking an AI Engineer to join the Enterprise Data and Analytics team, collaborating with Data Science, Data Engineering, and the AICoE to shape and advance AI platforms and standards enterprise-wide.

You will lead experiments, evaluate emerging AI technologies, and guide secure, scalable AI solution patterns with a strong emphasis on governance and cost-efficiency.

Qualifications

• Strong technical experience across AI, ML, and cloud platform engineering particularly in researching, implementing, and onboardingnew technologiesand tooling.
• Hands-onexpertisewith cloud environments (AWS strongly preferred), including services relevant to AI/ML development, deployment, and data processing.
• Experience deploying, integrating, or supporting AI/ML systems in production, includingMLOpspipelines, model hosting, and monitoring solutions.
• Demonstrated ability to conduct proof-of-concept work, evaluate emerging technologies, and translate findings into actionable recommendations.
• Strong understanding of modern AI stacks including APIs, foundation models, vector databases, orchestration tools, and retrieval-augmented generation (RAG) patterns.
• Ability to build strongpartnerships, andcollaborate with both technical and non-technical stakeholders.
• Strong curiosity, analytical skills, and comfort working in ambiguity to define and evaluate options.
• Ability to clearly communicate complex technical concepts and guide teams toward shared standards and patterns.
• Experience working in or with Enterprise Architecture, platform engineering, orMLOpsfunctions.
• Familiarity with AI-specific security, governance, and responsible AI considerations.
• Background in financial services or other regulated industries.

Responsibilities

• Champion the selection, evaluation, and lifecycle management of AI platforms, frameworks, and tools used across the enterprise, drawing from deep technicalexpertiseand market awareness.
• Serve as an internal SME especially during project discovery phases on enterprise AI platform architecture including model lifecycle tooling, containerization, orchestration, vector databases, prompt management, RAG frameworks, and model hosting options.
• Rapidly experiment with new AI services, foundation models, anddevelopertooling to assess maturity, extensibility, and alignment with long-term enterprise AI strategy.
• Partner with AI delivery teams to guide solution design and ensure the reuse of approved enterprise AI patterns before pursuing net-new platform development or procurement.
• Document,maintain, and coach teams on AI platform standards, best practices, and reference architectures for scalable and responsible AI.
• Work closely with Enterprise Technology to ensure AI platforms are secure, compliant, cost-efficient, and operationally resilient.
• Act as a bridge between the AICoEand analogous technical platform teams elsewhere in the organization ensuring two-way knowledge flow, alignment on technology directions, and adoption of shared best practices.
• Consult with product owners, data scientists, and engineers toidentifyplatform gaps and implement enhancements that improve efficiency and developer experience.
• Support the creation of platform-level safeguards and governance controls to ensure responsible, sustainable, and secure AI use across the enterprise.
• Contribute to the development of enterprise guidelines that ensure AI solutions are adaptable to rapidly evolving model capabilities and ecosystem changes.

Job description

Securian Financial is seeking an AI Engineer to join the Enterprise Data and Analytics team, collaborating with Data Science, Data Engineering, and the AICoE to shape and advance AI platforms and standards enterprise-wide.

You will lead experiments, evaluate emerging AI technologies, and guide secure, scalable AI solution patterns with a strong emphasis on governance and cost-efficiency.