5 months ago
Remote, United States +2 moreStaff+
Base Salary
$169k - $280k/yr
Responsibilities
- Architect scalable, production-grade AI/ML, generative AI, and agentic AI systems across the enterprise.
- Design autonomous agents, multi-agent orchestration, LLM routing, RAG pipelines, memory systems, and tool or function-calling patterns.
- Provide consulting expertise to division and domain architects and help establish an enterprise AI solutions architecture practice.
- Lead technology proofs of concept, hands-on prototypes, architecture alignment, and technology transformation initiatives.
- Develop architecture priorities, target states, roadmaps, and communications aligned with business strategy.
- Establish AI governance, risk, control, ethics, bias mitigation, and responsible deployment practices.
- Track AI platform and foundation-model roadmaps, emerging autonomous systems, and competitive landscape developments.
- Collaborate with senior Technology and Business leaders, mentor teams, build consensus, and promote knowledge sharing.
Requirements
- Bachelor’s degree in computer science, a related STEM or technology field, or equivalent education and/or work experience.
- At least 7 additional years of architecture or software engineering experience and 2 years of technical leadership experience.
- 8 to 10 years of architecture experience and advanced architecture capability with recent hands-on engineering experience.
- Proven experience executing complex, large-scale technology strategies and defining scalable, production-grade AI systems.
- Hands-on expertise in AI/ML development and deployment, including machine learning algorithms, neural networks, optimization, linear algebra, statistics, and probability.
- Experience with MLOps, AI operations, CI/CD pipelines, cloud AI services, multimodal AI, autonomous systems, reinforcement learning, and decision-making frameworks.
- Experience with generative AI foundations including transformer architectures, LLMs, diffusion models, VAEs, GANs, prompt engineering, fine-tuning, and RLHF.
- Experience with agentic patterns, API integration, memory systems, RAG, vector databases, multi-agent orchestration, MCP, and Agent2Agent.
- Hands-on or working experience with LangChain, Strands, Crew AI, AWS Bedrock and AgentCore; Azure Foundry, Agent 365, or GCP/Gemini AI experience is optional.
- Experience with AI governance, model risk management, AI ethics, bias mitigation, EU AI Act, GDPR, and related responsible AI practices.
- Advanced leadership, communication, strategic planning, collaboration, mentoring, decision-making, and organizational influence skills.
- Insurance technology or insurance industry experience is preferred.
Benefits
- Medical coverage for employees and eligible 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.
- Employees may participate in the Paying it Forward Savings Program and a Travelers-funded pension plan.
- At least 20 days of paid time off annually plus nine company holidays.
- Wellness resources, discounts, caregiving support, and free professional counseling and mental health services.
- Matching Gift and Volunteer Rewards programs support charitable involvement.
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.