首席前移部署工程师
Principal Forward Deployed Engineer
关于公司：
在Liatrio，我们推动真正的变革。我们帮助行业领先的公司摆脱传统系统，采用重塑团队构建、交付和规模化发展的AI技术。
我们直接与企业团队合作，通过加速现代化、降低风险以及交付符合行业标准的生产级AI系统，将AI原生实践融入交付流程。
我们的员工直接嵌入客户组织中，领导实际的AI赋能和转型，重新塑造整个企业构建和运营的方式。
如果你准备引领真正的AI变革，这里就是你的归属。
职位描述：
我们正在寻找资深前向部署工程师（Principal Forward Deployed Engineers），他们热衷于交付生产软件，解决复杂系统问题，并开创以AI为先的工程工作流程。
作为资深前向部署工程师，你将负责主要客户项目的整体企业架构和技术战略，成为高管领导的可信顾问。你仍需亲自编写代码，确保交付与战略目标一致，树立AI优先的实践标准，并通过积极的指导提升客户团队的能力。
你将：
定义并推动跨复杂客户项目的整体企业架构和技术战略
在关键系统中编写和审查生产代码：与嵌入式交付团队一起建立架构、弹性和安全性的高标准
将AI和大语言模型（LLM）能力整合到企业架构中：设计可扩展的代理系统、RAG平台、企业AI治理和开发者生产力生态系统
开创AI辅助的软件交付：使用先进的AI编码环境、LLM工具和代理助手，加速客户代码库中的重构、代码生成和测试编写
为客户工程团队赋能AI优先的实践：与客户开发人员进行现场指导和配对，将AI编码助手整合到他们的日常开发工作流程和文化中
评估和实施AI安全、可观测性和评估框架：确保客户的AI集成是安全、可靠且可生产的，而不仅仅是实验性原型
领导大规模的遗留系统现代化：设计从单体平台迁移到弹性、云原生微服务和事件驱动架构的方案
担任主要的技术执行接口：为客户提供工程方面的建议
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About Us:
At Liatrio, we enable real transformation. We help industry-leading enterprises break free from legacy systems and adopt AI that reshapes how teams build, deliver, and thrive at scale.
We partner directly with enterprise teams to embed AI-native practices into delivery by accelerating modernization, reducing risk, and shipping production-grade AI systems that set the standard for the industry.
Our people embed directly inside client organizations, leading hands-on AI enablement and transformations that reshape how entire enterprises build and operate at scale.
If you’re ready to lead real AI transformation, this is where you belong.
About the Role:
We are seeking Principal Forward Deployed Engineers who thrive on shipping production software, solving complex systems problems, and pioneering AI-first engineering workflows.
As a Principal FDE, you lead the enterprise architecture and technical strategy for major client engagements, serving as a trusted advisor to executive leaders. Remaining hands-on in the code, you align delivery with strategic goals, model AI-first practices, and elevate client teams through active mentorship.
What You'll Do:
Defining and driving the overarching enterprise architecture and technical strategy across complex client engagements
Writing and reviewing production code across critical systems: establishing high-watermark standards for architecture, resilience, and security alongside embedded delivery teams
Integrating AI and LLM capabilities into enterprise architectures: designing scale-ready agentic systems, RAG platforms, enterprise AI governance, and developer productivity ecosystems
Pioneering AI-assisted software delivery: using advanced AI coding environments, LLM tooling, and agentic assistants to accelerate refactoring, code generation, and test writing in client codebases
Enabling client engineering teams on AI-first practices: hands-on coaching and pairing with client developers to integrate AI coding assistants into their daily development workflows and culture
Evaluating and implementing AI safety, observability, and evaluation frameworks: ensuring client AI integrations are secure, reliable, and production-ready rather than just experimental prototypes
Leading large-scale legacy modernizations: architecting the migration off monolithic platforms to resilient, cloud-native microservices and event-driven architectures
Serving as the primary technical executive interface: advising client engineering leaders and directors on risk mitigation, platform evolution, and technical roadmap execution
Establishing delivery governance, automated testing standards, security guardrails, and CI/CD best practices across multi-team engagements
Mentoring and elevating staff and lead engineers across client and internal Liatrio organizations through architecture reviews, strategic pairing, and hands-on guidance
Partnering with executive account leaders on strategic account growth, technical proposal creation, statement of work (SOW) development, and key client pitches
Experience and Skills:
Engineering and Enterprise Architecture
You have a track record of owning the architectural direction of complex workstreams in enterprise environments, you've made the hard technical calls, been accountable for the outcomes, and learned from the experiences that didn't go as planned
You've modernized large legacy applications in real enterprise environments, you understand the strangler fig pattern, incremental refactoring, and event-driven decomposition as practical strategies you've applied under real constraints
You're fluent across the full delivery stack, frontend, backend, APIs, data, cloud infrastructure, with genuine depth in multiple areas
You've designed and delivered cloud-native, distributed systems at enterprise scale, microservices, event-driven architectures, API gateways, async messaging, and you understand the failure modes and operational complexity that comes with them
You've operated in large enterprise environments with multi-cloud setups, complex organizational structures, and legacy constraints, and you know how to deliver meaningful progress despite them
You can hold the technical bar for an entire workstream, reviewing architecture, reviewing code, catching problems early, and developing engineers through the process
You have enough knowledge of platform engineering, infrastructure as code, cloud-native platform adoption, whether that's Kubernetes, managed container services, or other orchestration platforms depending on client environment, and DevOps practices to make good architectural decisions and speak credibly to the engineers responsible for the platform
AI and Intelligent Systems
You possess end-to-end operational experience designing and deploying enterprise AI solutions, from model integration and RAG pipelines to security, observability, and evaluation framework adoption
You define and model AI-augmented engineering workflows, leveraging modern AI tooling as an institutional force multiplier for developer velocity
You communicate credibly with VP- and C-level client leaders about pragmatic AI strategies, transformation metrics, and high-ROI technical initiatives
Requirements
10+ years of hands-on software engineering experience, with significant time spent leading enterprise architecture or principal-level engineering initiatives
Must be authorized to work in the United States or Canada without sponsorship
Travel availability: 25% depending on client needs
Liatrio is an equal opportunity employer. We value diversity at our company and strive to create a culture of inclusion. We do not discriminate, nor do we tolerate harassment, on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status or disability status.
We want our process to be accessible for everyone. If you have a disability under the Americans with Disabilities Act or similar law, or you require a religious accommodation, and you wish to discuss potential accommodations related to applying for employment at our company, please contact hello@liatrio.com.