Lead Architect, AI

Travelers

. Define and maintain architectural principles, best practices, standards, and reference architectures for Travelers’ AI platforms and AI-enabled products .

Posted 10/7/2026full-timeUnited StatesSenior💰 $169,400 - $279,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates advanced architecture and engineering expertise in AI/ML systems, including hands-on experience with modern technologies, cloud AI services, and governance frameworks. Capable of leading strategic technology decisions and fostering collaboration across teams to align AI capabilities with business objectives.

Highest-signal resume keywords

AI/ML Development and DeploymentArchitecture LeadershipMLOps and AIOpsCloud AI ServicesAI Governance Frameworks

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Applicant Tracking System Keywords

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Hard Skills

AI/MLGenerative AINeural Network ArchitecturesDistributed Processing ArchitecturesTransformer ArchitecturesReinforcement LearningAPI IntegrationModel Risk ManagementStatistical AnalysisMathematical Foundations

Soft Skills

LeadershipCollaborationMentoringCommunicationInfluence

Tools & Technologies

Claude EnterpriseOpenAI CodexGitHub CopilotCI/CD PipelinesMulti-Agent OrchestrationVector DatabasesAgent Orchestration FrameworksMCPAgent2Agent IntegrationRAG Pipelines

Industry Keywords

Insurance TechnologyAI EthicsBias MitigationEU AI ActGDPR

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud Platform

About the role

Key responsibilities & impact

Define and maintain architectural principles, best practices, standards, and reference architectures for Travelers’ AI platforms and AI-enabled products
Guide strategic technology decisions involving AI platforms, cloud providers, model hosting, vector databases, orchestration frameworks, AI infrastructure, build-versus-buy evaluations, and platform investments
Lead architecture reviews for major AI initiatives, 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 solutions using AI/ML, Generative AI, Agentic AI, autonomous agents, multi-agent orchestration, MCP, and Agent2Agent integration
Advise division and domain architects and promote an enterprise AI solutions architecture practice
Align AI platform capabilities with business needs, including LLM strategy, model selection and routing, RAG pipelines, memory systems, and tool/function-calling patterns
Help establish AI standards, governance, risk, control processes, ethics, and bias mitigation practices
Track and communicate the evolving AI platform roadmap and competitive landscape
Collaborate with senior Technology and Business leaders and bridge complex AI concepts for non-technical stakeholders
Build consensus across teams, mentor colleagues, and foster knowledge sharing within the architecture community

Requirements

What you’ll need

Bachelor’s degree in computer science, related STEM field, or its equivalent in education and/or work experience
7 additional years of architecture/software engineering experience
2 years of technical leadership experience
Advanced-level architecture experience and recent hands-on engineering experience with modern technologies
Experience executing complex, large-scale technology strategies
Proven track record defining scalable, production-grade AI systems, including distributed and parallel processing architectures
Hands-on expertise in AI/ML development and deployment, ML algorithms, neural network architectures, and optimization techniques
Strong architecture leadership experience
Strong mathematical foundation 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/Code, OpenAI Codex, and GitHub Copilot
Experience with transformer architectures, LLMs, prompt engineering, fine-tuning, and RLHF
Experience with multimodal AI systems
Experience building autonomous AI systems with planning and reasoning capabilities, 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 are optional
Knowledge of AI ethics, bias mitigation, responsible AI practices, EU AI Act, and GDPR
Experience with AI governance frameworks and model risk management
Advanced leadership, collaboration, mentoring, communication, and influence skills
Extensive experience working in an agile operational model
Advanced experience supporting transformational change
Experience developing technology target states and roadmaps aligned to business goals
Strong understanding of value creation and business capability models
Strong knowledge of the insurance industry
Advanced experience identifying and analyzing problems and opportunities
Sound judgment and decision-making ability
Insurance technology experience preferred

Benefits

Comp & perks

Performance-based cash incentive awards
Health insurance for employees and eligible family members from the first day of employment
401(k) dollar-for-dollar matching up to the first 5% of eligible pay, subject to an annual maximum
Paying it Forward Savings Program for employees with student loan debt
Pension Plan 100% funded by Travelers
Minimum of 20 days Paid Time Off annually
Nine paid company holidays
Wellness program with tools, discounts, and resources
Free professional counseling services, health coaching, and mental health resources
Matching Gift and Volunteer Rewards program
Equal opportunity employment