1 day ago
Hartford, CT, USA or St. Paul, MN, USAStaff+
Base Salary
$169k - $280k/yr
Responsibilities
- Define and maintain architectural principles, standards, best practices, and reference architectures for enterprise AI platforms and AI-enabled products.
- Guide strategic decisions involving AI platforms, cloud providers, model hosting, vector databases, orchestration frameworks, AI infrastructure, and build-versus-buy evaluations.
- Lead architecture reviews covering system design, scalability, resiliency, interoperability, security, compliance, and cost optimization.
- Establish enterprise AI integration patterns, architecture standards, governance frameworks, and operational processes.
- Architect scalable production-grade AI/ML, generative AI, agentic, multimodal, and autonomous AI systems.
- Develop strategies for LLM selection and routing, RAG pipelines, memory systems, tool and function calling, and reusable AI platform capabilities.
- Advise division and domain architects and help establish an enterprise AI solutions architecture practice.
- Promote responsible AI through ethics, bias mitigation, governance, regulatory alignment, and model risk management.
- Track and communicate AI platform, foundation model, agentic framework, and autonomous-system roadmaps and competitive insights.
- Collaborate with senior leaders, build consensus across teams, mentor colleagues, and strengthen the architecture community.
Requirements
- Bachelor’s degree in computer science, a related STEM field, or equivalent education and/or work experience.
- At least 7 additional years of architecture/software engineering experience and 2 years of technical leadership experience.
- 8 to 10 years of architecture experience is stated for the ideal candidate.
- Advanced architecture capability and recent hands-on engineering experience with modern technologies and large-scale technology strategies.
- Proven experience defining scalable, production-grade AI systems, including distributed and parallel-processing architectures.
- Hands-on AI/ML development and deployment experience, including ML algorithms, neural networks, optimization, MLOps, and AI Ops.
- Strong knowledge of linear algebra, statistics, probability, transformer architectures, LLMs, prompt engineering, fine-tuning, and RLHF.
- Experience with autonomous AI systems, planning and reasoning, reinforcement learning, decision-making, agentic patterns, RAG, vector databases, and multi-agent orchestration.
- Experience with MCP, Agent2Agent, agent orchestration frameworks, AI development tools, and cloud AI services.
- Knowledge of AI ethics, bias mitigation, responsible AI, EU AI Act, GDPR, AI governance, and model risk management.
- Advanced leadership, communication, collaboration, mentoring, strategic planning, transformational-change, roadmap, and business-acumen skills.
- Insurance technology and strong insurance-industry knowledge are preferred.
Benefits
- Health insurance coverage for eligible employees and family members begins on the first day of employment.
- Travelers matches 401(k) contributions dollar-for-dollar up to the first 5% of eligible pay, subject to an annual maximum, and offers a student-loan savings program and fully funded pension plan.
- At least 20 days of annual paid time off plus nine paid company holidays.
- Wellness resources, discounts, caregiving support, and free professional counseling and health coaching.
- Matching Gift and Volunteer Rewards programs.
- The posting does not specify a work arrangement or location schedule.
Tech Stack
Categories
About Travelers
Travelers is a public property and casualty insurer that provides auto, home, and commercial coverage, plus risk management and claims services, to individuals and businesses. It distributes policies through independent agents and brokers across the United States, Canada, the United Kingdom, and Ireland. Founded in 1853 and headquartered in New York City, Travelers trades on the NYSE (TRV) and is the only property-casualty company in the Dow Jones Industrial Average.