Travelers
Travelers
Travelers is an insurance company serving individuals and businesses with coverage supported by specialty expertise, risk control, underwriting, technology and analytics, and sales teams. Its work centers on helping customers prepare for uncertainty while developing new approaches to insurance and planning for future risks. Travelers also highlights community involvement, diversity, sustainability, continuous learning, and professional growth across its operations in the United States, Canada, and Europe. Its career opportunities span roles for experienced professionals and emerging talent.

Lead AI Architect at Travelers, Hybrid

Lead enterprise AI architecture at Travelers, shaping scalable platforms, agentic systems, and responsible AI governance. Guide strategy, architecture decisions, and production AI capabilities across the insurance enterprise.

Description

  • Set architectural principles, standards, best practices, and reference architectures for Travelers’ AI platforms and AI-enabled products.
  • Direct strategic decisions across AI platforms, cloud providers, model hosting, vector databases, orchestration frameworks, AI infrastructure, build-versus-buy assessments, and platform investments.
  • Lead reviews of major AI initiatives, evaluating system design, scalability, resilience, interoperability, security, compliance, and cost efficiency.
  • Define enterprise AI integration patterns, architecture standards, governance frameworks, and operating processes.
  • Design scalable, production-ready solutions spanning AI/ML, generative AI, agentic AI, autonomous agents, multi-agent orchestration, MCP, and Agent2Agent integration.
  • Support division and domain architects while advancing an enterprise AI solutions architecture practice.
  • Connect AI platform capabilities to business priorities through LLM strategy, model selection and routing, RAG pipelines, memory systems, and tool or function-calling patterns.
  • Help develop AI standards, governance, risk and control processes, ethical practices, and bias-mitigation measures.
  • Monitor and communicate the AI platform roadmap and competitive technology landscape.
  • Partner with senior Technology and Business leaders, translating complex AI concepts for non-technical audiences.
  • Build cross-team alignment, mentor colleagues, and encourage knowledge sharing across the architecture community.

Requirements

  • Bachelor’s degree in computer science, a related STEM discipline, or equivalent education and work experience.
  • At least seven additional years of architecture or software engineering experience.
  • At least two years of technical leadership experience.
  • Advanced architecture experience combined with recent hands-on engineering work using modern technologies.
  • Experience delivering complex, large-scale technology strategies.
  • Demonstrated success defining scalable, production-grade AI systems, including distributed and parallel-processing architectures.
  • Hands-on expertise developing and deploying AI/ML systems, including ML algorithms, neural network architectures, and optimization techniques.
  • Strong background leading architecture initiatives.
  • Strong mathematical grounding in linear algebra, statistics, and probability theory.
  • Experience with MLOps, AIOps, and CI/CD pipelines for AI/ML systems.
  • Hands-on experience with Claude Enterprise, CLI, or Code; OpenAI Codex; and GitHub Copilot.
  • Experience with transformer architectures, LLMs, prompt engineering, fine-tuning, and RLHF.
  • Experience designing or delivering multimodal AI systems.
  • Experience building autonomous AI systems with planning and reasoning, reinforcement learning, and decision-making frameworks.
  • Experience with tool use, function calling, API integration, memory systems, RAG, vector databases, and multi-agent orchestration.
  • Experience with agent orchestration frameworks, ADKs, SDKs, MCP, and Agent2Agent.
  • Deep experience with cloud AI services, including AWS Bedrock AgentCore; Azure Foundry, Agent 365, or GCP/Gemini AI experience is optional.
  • Knowledge of AI ethics, bias mitigation, responsible AI, the EU AI Act, and GDPR.
  • Experience with AI governance frameworks and model risk management.
  • Advanced leadership, collaboration, mentoring, communication, and influencing abilities.
  • Extensive experience working in an agile operating model.
  • Advanced experience helping organizations implement transformational change.
  • Experience defining technology target states and roadmaps tied to business objectives.
  • Strong understanding of value creation and business capability models.
  • Strong knowledge of the insurance industry.
  • Advanced ability to identify and analyze problems and opportunities.
  • Sound judgment and effective decision-making skills.
  • Insurance technology experience is preferred.

Benefits

  • Performance-based cash incentive awards.
  • Health insurance for employees and eligible family members beginning on the first day of employment.
  • Dollar-for-dollar 401(k) matching on the first 5% of eligible pay, subject to an annual maximum.
  • Paying it Forward Savings Program for employees managing student loan debt.
  • Pension Plan fully funded by Travelers.
  • At least 20 days of paid time off each year.
  • Nine paid company holidays.
  • Wellness program offering tools, discounts, and resources.
  • Free professional counseling, health coaching, and mental health resources.
  • Matching Gift and Volunteer Rewards program.
  • Equal opportunity employment.

Related Jobs

General Dynamics Information Technology

Senior AI Engineer and Architect

General Dynamics Information Technology

Lead AI, machine learning, and large language model architecture for General Dynamics Information Technology’s government, defense, and intelligence missions. Take solutions from proof of concept to production across complex operational settings.

Open