Lead Application Modernization Engineer

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 Lead Forward Deployed Engineers who thrive on shipping production software, solving complex systems problems, and pioneering AI-first engineering workflows.

As a Lead Forward Deployed Engineer (FDE), you own the technical execution and architecture for your workstream. Leading a small team of engineers, you will deliver high-impact software while embedded directly within client engineering teams. In this role, you will partner closely with client leadership and account leads to align delivery with strategic goals, model AI-first engineering practices, and elevate client teams through active pairing and mentorship.

What You'll Do:

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Owning the technical delivery, architecture, and code quality for your workstream: making key technical decisions, documenting tradeoffs, and ensuring the team builds coherent, maintainable systems

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Writing and reviewing production code across the full stack: setting the technical bar, reviewing PRs, and staying actively involved in direct implementation alongside your team

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Integrating AI and LLM capabilities into client applications: designing and implementing agentic workflows, RAG pipelines, intelligent automation, and AI-augmented developer tooling

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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

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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

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Breaking down monolithic legacy applications into cloud-native microservices and event-driven architectures without taking critical systems offline

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Anticipating technical debt, delivery friction, and architectural risk early: establishing clear mitigation strategies, test automation standards, and CI/CD best practices

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Serving as the primary technical point of contact for your workstream: engaging directly with client engineering managers and technical directors on execution, delivery risk, and technical strategy

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Mentoring and uplifting client and Liatrio engineers: pairing on complex problems, conducting architectural reviews, breaking down complex tasks, and providing continuous feedback

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Partnering with account leadership and architects on technical scoping, statement of work (SOW) development, proof-of-concept (POC) demonstrations, and identifying expansion opportunities

Experience and Skills:

Engineering and Architecture

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You have a track record of owning technical execution and architectural direction for engineering teams in complex enterprise environments

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You've modernized large legacy applications, with practical experience applying, incremental refactoring, and event-driven decomposition under real constraints

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You are fluent across the full delivery stack (frontend, backend, APIs, data pipelines, and cloud infrastructure) with genuine technical depth in multiple core areas

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You've designed and delivered cloud-native, distributed systems at enterprise scale: microservices, event-driven architectures, API gateways, and asynchronous messaging

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You possess strong practical knowledge of platform engineering, infrastructure