Senior Architect, AI Solutions Architecture

As a member of AI and Emerging Technology Architecture, you'll be joining a strategic and collaborative team that is passionate about transforming our business and technology capabilities and paving the way for best-in-class solutions. As a Senior Architect, you will partner with Technology and Business stakeholders and apply your technical depth in modern AI systems to design and deliver solutions that create meaningful business impact. In this role we will look to you to: Able to adjust plans, priorities and strategies in response to changing circumstances.Insurance technology experience preferred.Understanding of value creation and business capability models.Strong knowledge of the insurance industry.Experience in identifying and analyzing current/future problems and opportunities, evaluating information to understand root causes, and exploring alternative solutions for effective decision-making.Proven ability to work collaboratively with teammates to achieve mutually responsible results.Extensive experience exercising sound judgment, making decisions and committing to a position.Strong and effective verbal, written and listening communication skills.Hands-on experience in AI/ML development and deployment, with working knowledge of core ML algorithms and neural network architecturesFamiliarity with MLOps & AI Ops practices and CI/CD for AI/ML workflowsApplied experience with Generative AI foundation — including LLMs, transformer architectures, and prompt engineering techniquesHands-on experience with agentic coding tools such as Claude Enterprise/CLI/Code, OpenAI Codex, and GitHub CopilotWorking experience with agentic AI patterns — tool use, function calling, RAG pipelines, memory systems, vector databases, and multi-agentic orchestrationFamiliarity with agent orchestration frameworks (LangChain, Strands, Crew AI) and integration protocols such as MCPExperience with cloud AI services AWS Bedrock including AgentCore (optional: Azure Foundry/Agent 365, or GCP/Gemini AI), with awareness of multi-cloud and SaaS AI and agentic capabilitiesWorking knowledge of responsible AI principles, AI ethics, and compliance considerations relevant to production AI deploymentsAwareness of AI governance frameworks and risk management practices, with ability to apply established standards within defined guardrailsWhat is a Must Have? We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences.