VP, AI Solutions Architecture

You desire impactful work.
 

You’re RGA ready

RGA is a purpose-driven organization working to solve today’s challenges through innovation and collaboration. A Fortune 200 Company and listed among its World’s Most Admired Companies, we’re the only global reinsurance company to focus primarily on life- and health-related solutions. Join our multinational team of intelligent, motivated, and collaborative people, and help us make financial protection accessible to all.

Position Overview

Americas Data Solutions is seeking an experienced and strategic AI solutions architecture leader to join our team. This role is responsible for the end-to-end technical architecture of AI and data solutions, ensuring each initiative is architecturally sound, scalable, secure, and cost-efficient from concept through production. The ideal candidate will partner across product, data science, engineering, and business teams to translate strategic priorities into robust technical blueprints, with deep expertise in Databricks, AWS, Snowflake, and modern AI/ML platforms.

Responsibilities

• Solution Design & Technical Architecture: Lead the creation of end-to-end solution architecture for AI and data initiatives, defining data pipelines, model serving infrastructure, integration points, API integration, compute sizing, and scaling strategies across Databricks, Snowflake and AWS.
• Architecture Standards & Reusable Patterns: Establish and evolve reusable architecture patterns, reference architectures, and design templates that ensure consistency and accelerate delivery across the AI and data solutions portfolio, leveraging Databricks Unity Catalog, Delta Lake, Snowflake, and AWS-native services.
• Cost Optimization & FinOps: Own solution-level cost modeling including cost-per-inference, cost-per-user, and total cost of ownership analyses; identify optimization opportunities across Databricks compute, AWS infrastructure, and third-party services; and contribute to broader technology spend governance.
• Cross-Functional Architecture Partnership: Serve as the primary technical solution design partner to product management, data science, data solutions, and engineering teams—translating business requirements and product specifications into actionable, well-documented technical designs.
• Security, Compliance & Data Governance: Embed enterprise security standards, data governance policies, and applicable regulatory requirements into every solution architecture, partnering with solution teams to ensure solutions are auditable, explainable, and production-ready.
• Technical Due Diligence & Evaluation: Evaluate emerging AI/ML technologies, frameworks, and cloud services for fit within the ADS architecture; lead proof-of-concept efforts and publish technical recommendations to inform platform and tooling decisions.
• Architecture Review & Governance: Lead architecture review processes for AI initiatives, ensuring design quality, technical debt management, and alignment with enterprise architecture principles before solutions advance to development and production.
• Stakeholder Communication & Influence: Communicate architectural vision, trade-offs, and technical roadmaps to ADS leadership, business partners, and IT stakeholders; build consensus on technology direction and investment priorities.

Requirements

• Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related technical field.
• Experience: 15+ years of progressive experience in solutions architecture, enterprise architecture, or technical leadership, with at least 5 years designing AI/ML systems, data platforms, or cloud-native applications at scale.
• Cloud & Data Platform Expertise: Deep hands-on experience architecting solutions on Databricks (Unity Catalog, Delta Lake, MLflow, Model Serving, Workflows) and AWS (SageMaker, Lambda, Step Functions, S3, ECS/EKS, API Gateway, Bedrock). Proficiency with Python and SQL.
• AI/ML Systems Design: Expert understanding of end-to-end machine learning system architecture, including training pipelines, feature stores, model registries, real-time and batch inference, vector databases, retrieval-augmented generation (RAG), and agentic AI orchestration patterns.
• Solution Design & Documentation: Proven ability to author comprehensive solution design documents that clearly communicate data flows, system topology, API contracts, infrastructure requirements, scaling strategies, and operational runbooks to diverse audiences.
• Cost Modeling & FinOps: Experience building and maintaining solution-level cost models (cost per inference, total cost of ownership) and driving optimization across cloud compute, storage, and third-party AI services.
• Technical Leadership & Influence: Demonstrated ability to lead architecture reviews, mentor engineers and data scientists, set technical direction, and drive alignment across cross-functional teams without direct authority.
• Communication & Executive Presence: Exceptional ability to distill complex technical architectures into clear documentation, diagrams, and presentations tailored for technical peers, business stakeholders, and senior leadership.
• Integration & API Design: Strong expertise in designing scalable APIs, event-driven architectures, microservices, and enterprise integration patterns for production AI systems.
• Stakeholder Partnership: Proven track record of partnering with product management, data science, engineering, and business teams to translate strategic priorities into well-architected technical solutions.
• Analytical & Strategic Thinking: Strong ability to evaluate architectural trade-offs, assess technical risk, model capacity scenarios, and make sound design decisions that balance innovation with operational reliability.

Preferred

• Advanced degree (Ph.D. or Master’s) in Computer Science, AI/ML, or a related technical discipline
• Experience in the life and health insurance or reinsurance industry
• AWS Solutions Architect Professional, Databricks Architect, or equivalent cloud/platform certifications
• Knowledge of real-world data, medical, underwriting, and other third-party data sources
• Knowledge of actuarial concepts and the reinsurance or insurance industry
• Experience with infrastructure-as-code (Terraform, CloudFormation), CI/CD pipelines, and DevOps/MLOps practices

#LI-SP2 #LI-REMOTE

What you can expect from RGA:

• Gain valuable knowledge from and experience with diverse, caring colleagues around the world.

• Enjoy a respectful, welcoming environment that fosters individuality and encourages pioneering thought.

• Join the bright and creative minds of RGA, and experience vast, endless career potential.

We’re excited to get to know you and connect your unique skills with our global opportunities. To create a modern and seamless experience, we use artificial intelligence (AI) in parts of our preliminary screening process. This technology helps us personalize job recommendations, automate interview scheduling, evaluate candidates based solely on experience—without considering name, gender, or other personal details—and provide real-time answers through our chatbot. AI is used only during early screening and never makes hiring decisions. Your RGA recruiter will work closely with you every step of the way to ensure the process feels personal, thoughtful, and focused on you.

Compensation Range:

Base pay varies depending on job-related knowledge, skills, experience and market location. In addition, RGA provides an annual bonus plan that includes all roles and some positions are eligible for participation in our long-term equity incentive plan. RGA also maintains a full range of health, retirement, and other employee benefits.

RGA is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, age, gender identity or expression, sex, disability, veteran status, religion, national origin, or any other characteristic protected by applicable equal employment opportunity laws.