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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # VP, Implementation Engineer (Remote - EST Hours) - **Company:** Arch Capital Group Ltd - **Location:** Raleigh, NC, United States (Remote available) - **Experience:** Expert - **Salary:** $180,000.0 - $270,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Data Visualization, Decision Support Systems, Machine Learning, Azure Machine Learning, Software Engineering, Management of Software Versions, Data Logging, Delivery Pipeline, Large Language Models, Multi-Agent Systems, Information Technology, Low Latency, Data Analytics, Machine Learning Operations, Microservices - **Published:** July 4, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=c8be52af7e4041e9 ## About the Role * 10+ years of software engineering and/or automation engineering experience. * 8+ years of people leadership experience, including leading other managers and leaders * Demonstrated experience building production grade AI and/or ML systems * Resilient problem solving - comfortable with ambiguous problems. * Exceptional communication and influence; able to operate across teams. Desired Skills / Experience * P&C insurance domain familiarity - underwriting, claims, or submission lifecycle. * Experience with complex orchestrations and microservice designs. * Cloud experience in Azure (preferred for our stack) and/or AWS; familiarity with private endpoints and enterprise-grade safeguards. * Experience leading multidisciplinary teams (onshore + offshore) for technology delivery. Education * College degree in Computer Science, Software Engineering, Data Analytics, or equivalent practical experience. #LI-LH1 #LI-REMOTE For individuals assigned or hired to work in the location(s) indicated below, the base salary range is provided. Range is as of the time of posting. Position is incentive eligible. ## Description Strategic Analytics is a dynamic and growing team at Arch that drives innovation and transforms how the business operates. We build AI/ML-first products that change how Arch underwrites, services, and learn from its book - combining frontier LLMs, multi-agent orchestrations and traditional ML. Our mission is broad: agentic automation, decision support, AI/ML-driven insights, and the engineering required to make all of it production-grade. We have a strong track record of success. We aim to continue scaling these efforts and are seeking a VP Implementation Engineering to own the engineering vision, strategy, and production backbone for agentic and ML systems across Strategic Analytics. This role leads the implementation engineering (IE) function and owns the engineering practices, tooling, architectures and delivery pipelines that turn AI/ML models into reliable, scalable products - partnering closely with data scientists, data engineers, automation engineers, data visualization engineers, and platform teams. This role may sit remotely; being located near an Arch office is preferred but not required., * Translates AI strategy into scalable engineering execution-ensuring AI systems are safe, observable, cost-effective, compliant, and aligned with product and business outcomes. * Architect and govern AI/ML system designs including multi-agent flows, complex orchestrations, RAG, classical ML services and hybrid architectures. * Productionize AI/ML solutions into stable, low-latency, compliant, scalable applications. * Build, lead, and develop a multi-team AI/ML engineering organization-including managers and senior engineers-setting technical standards and a culture of rigorous, maintainable delivery. * Drive organization-wide alignment by influencing senior executives, peer engineering leaders, and product leaders; resolve prioritization conflicts and clarify accountability boundaries. * AI/ML Lifecycle Ownership: Spearhead the AI/ML Software Development Life Cycle (SDLC) balancing rapid experimentation with scalable, production-grade engineering standards. * Establish robust practices for versioning, deployment, CI/CD pipelines, logging, and automated rollback strategies. * Build and operate observability, monitoring, and alerting systems to track model drift, latency, throughput, and cloud computing cost governance. ## Related Videos - [Swapping Low Latency Data Storage Under High Load](https://www.wearedevelopers.com/videos/746-swapping-low-latency-data-storage-under-high-load) - [Crypto-secure Data Management with In-Database Blockchain](https://www.wearedevelopers.com/videos/632-crypto-secure-data-management-with-in-database-blockchain) - [Microservices: how to get started with Spring Boot and Kubernetes](https://www.wearedevelopers.com/videos/242-microservices-how-to-get-started-with-spring-boot-and-kubernetes) - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [Unleash the power of 5G in your code: transform your apps](https://www.wearedevelopers.com/videos/1567-unleash-the-power-of-5g-in-your-code-transform-your-apps) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)