3 days ago
Hartford, CT, USA +2 moreStaff+
Base Salary
$174k - $287k/yr
Responsibilities
- Architect scalable, production-grade AI/ML, generative AI, and agentic AI systems across enterprise business and technology domains.
- Design LLM selection and routing, RAG pipelines, memory systems, tool and function-calling patterns, autonomous agents, and multi-agent orchestration solutions.
- Lead technology proofs of concept, hands-on prototyping, architecture alignment, and continuous modernization across multiple segments or domains.
- Establish AI solutions architecture practices, platform roadmaps, governance, risk and control processes, and responsible AI standards.
- Analyze emerging AI technologies, foundation models, agentic frameworks, autonomous systems, and competitive developments to inform enterprise strategy.
- Partner with senior Technology and Business leaders, communicate architectural direction, build organizational consensus, and mentor architecture and engineering teams.
Requirements
- Bachelor’s degree in computer science, a related STEM or technology field, or equivalent education and/or work experience.
- 8 to 10 years of architecture experience, plus 7 additional years of architecture or software engineering experience as stated in the posting.
- 2 years of technical leadership experience.
- Advanced architecture expertise and recent hands-on engineering experience with modern technologies and complex, large-scale technology strategies.
- Proven experience defining scalable, production-grade AI systems using distributed and parallel processing architectures.
- Hands-on AI/ML development and deployment experience, including machine learning algorithms, neural networks, optimization, linear algebra, statistics, and probability.
- Experience with MLOps, AIOps, AI/ML deployment pipelines, agentic coding tools, generative AI foundations, multimodal systems, reinforcement learning, planning, reasoning, RAG, vector databases, and multi-agent orchestration.
- Experience with LangChain, Strands, Crew AI, MCP, Agent2Agent, AWS Bedrock and AgentCore; Azure Foundry, Agent 365, or GCP/Gemini AI experience is optional.
- Knowledge of AI ethics, bias mitigation, responsible AI, AI governance, model risk management, the EU AI Act, and GDPR.
- Advanced leadership, strategic planning, communication, collaboration, mentoring, decision-making, business capability modeling, and transformational change experience; insurance technology experience is 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-linked 401(k) savings program and a fully funded pension plan.
- At least 20 days of paid time off annually plus nine paid company holidays.
- Wellness resources, discounts, caregiving support, mental health counseling, and health coaching.
- Matching Gift and Volunteer Rewards programs and encouragement to volunteer in the community.
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.