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Senior Architect, AI Solutions Architecture - CorpTech

Job in Hartford, Sebastian County, Arkansas, 72938, USA
Listing for: Travelers Canada
Full Time position
Listed on 2026-05-31
Job specializations:
  • IT/Tech
    AI Engineer
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below
Location: Hartford

Who Are We?

Taking care of our customers, our communities and each other. That’s the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years.

Compensation Overview

Annual base salary range: $ – $. The actual salary will be determined by scope, complexity, location, and candidate qualifications. Employees are also eligible for performance‑based cash incentive awards.

What Is the Opportunity?

As a member of the AI and Emerging Technology Architecture, you will join a strategic team that is passionate about transforming our business and technology capabilities. In this role you will partner with Technology and Business stakeholders to design and deliver solutions that create meaningful business impact.

Responsibilities
  • Apply your hands‑on experience in AI/ML, Generative AI, and Agentic AI systems—including autonomous agent design, orchestration frameworks (Lang Chain, Strands, Crew AI), and integration patterns such as Model Context Protocol (MCP)—to architect and implement scalable, production‑grade AI solutions aligned to line‑of‑business needs.
  • Partner with Lead Architects and domain teams to advance the enterprise AI solutions architecture practice, contributing reusable patterns, reference architectures, and design standards that promote consistency and interoperability across initiatives.
  • Translate business requirements into practical AI platform designs—spanning LLM integration, RAG pipelines, memory systems, and tool/function‑calling patterns—with a focus on delivering well‑governed, reliable, and cost‑effective solutions.
  • Support governance and risk processes that promote safe and compliant AI deployments, applying knowledge of relevant frameworks such as the EU AI Act, NAIC, and NIST AI RMF, and demonstrating a commitment to responsible AI principles.
  • Stay current with the rapidly evolving AI platform landscape—including foundation model capabilities, agentic frameworks, and cloud AI services—and contribute insights that help shape the team's technical direction and roadmap.
  • Collaborate effectively across engineering, product, and business teams, communicating technical concepts clearly to diverse audiences and contributing to a culture of knowledge sharing and continuous learning.
  • Scope:
    Responsible for architecture within one or more segments or domains for a single business unit.
  • Technical Execution:
    Define and lead technology proof‑of‑concepts, conduct hands‑on prototyping, and partner with leadership to ensure alignment with technology direction.
  • Strategic Accountability:
    Define target state architecture and roadmaps; identify emerging technology trends to minimize technical debt; support technology modernization initiatives; communicate architectural direction; cultivate strong relationships and secure buy‑in; perform additional duties as assigned.
Qualifications
  • Bachelor’s degree in technology‑related field or equivalent with at least 8 years of architecture experience.
  • Strong architecture and recent hands‑on engineering experience with modern technologies; successfully architected large‑scale technology initiatives.
  • Advanced leadership skills with ability to inspire, motivate, and influence team members.
  • Extensive experience working in an agile operational model and supporting transformational change; able to adjust plans, priorities, and strategies in response to changing circumstances.
  • Experience in the insurance industry preferred; strong knowledge of insurance industry value‑creation and business capability models.
  • Proven ability to work collaboratively with teammates to achieve mutually responsible results.
  • Strong verbal, written, and listening communication skills.
  • Hands‑on experience in AI/ML development and deployment, with knowledge of core ML algorithms and neural network architectures.
  • Working knowledge of MLOps and AI Ops practices and CI/CD for AI/ML workflows.
  • Applied experience with Generative AI foundations—including LLMs, transformer architectures, and prompt engineering techniques.
  • Experience with agentic coding tools such as Claude Enterprise/CLI/Code, OpenAI Codex, and Git…
Position Requirements
10+ Years work experience
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