Join our team as a Senior Architect, AI Solutions Architecture - ETS, and contribute to transforming our business and technology capabilities. As a member of AI and Emerging Technology Architecture, you'll partner with Technology and Business stakeholders to design and deliver solutions that create meaningful business impact. We're seeking a skilled leader with hands-on experience in AI/ML, Generative AI, and Agentic AI systems, as well as expertise in agile operational models, transformational change, and insurance technology.
Requirements
- Bachelor’s in technology related field or equivalent, with 8 years of architecture experience.
- Strong architecture and recent hands-on engineering experience with modern technologies.
- Successfully architected large scale technology initiatives.
- Advanced leadership skills with the ability to take action even when there is no clear owner, inspire and motivate others, and be effective at influencing team members.
- Extensive experience working an agile operational model.
- Experience supporting transformational change.
- 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 architectures
- Familiarity with MLOps & AI Ops practices and CI/CD for AI/ML workflows
- Applied experience with Generative AI foundation — including LLMs, transformer architectures, and prompt engineering techniques
- Hands-on experience with agentic coding tools such as Claude Enterprise/CLI/Code, OpenAI Codex, and GitHub Copilot
- Working experience with agentic AI patterns — tool use, function calling, RAG pipelines, memory systems, vector databases, and multi-agentic orchestration
- Familiarity with agent orchestration frameworks (LangChain, Strands, Crew AI) and integration protocols such as MCP
- Experience 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 capabilities
- Working knowledge of responsible AI principles, AI ethics, and compliance considerations relevant to production AI deployments
- Awareness of AI governance frameworks and risk management practices, with ability to apply established standards within defined guardrails
Benefits
- Health Insurance
- Retirement
- Paid Time Off
- Wellness Program
- Volunteer Encouragement
