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– 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 belongAbout the RoleWe're looking for an AI App Modernization Lead Engineer who owns a portion of the technical scope on a workstream, architects the solutions within it, and leads a small team of engineers to deliver against it. You work closely under the guidance of an account lead or architect — you're not setting the overall engagement strategy, but you are designing the solutions, making the day-to-day architecture calls, and being accountable for the technical quality of what your team ships. You write the hard code, keep the team unblocked, and make sure the client always knows where things stand. At Liatrio, we enable What You'll DTechnical Delivery and OversightYou'll own a defined portion of the technical scope — designing the architecture, doing the work, and leading your team through it. That looks like:Architecting technical solutions within your workstream — designing the approach, documenting tradeoffs, articulating it clearly to clients, and leading your team through implementationDesigning and building cloud-native services from legacy systems — decomposing tightly coupled monoliths into APIs and services, migrating data, and keeping production running throughoutBuilding full-stack, production-grade applications — frontend interfaces, backend services, APIs, and the integrations that connect them across complex enterprise environmentsWriting and reviewing code across multiple languages and paradigms — setting the technical standard for your workstream through your own work, not just through directionDesigning event-driven and microservices architectures that can scale, evolve, and be operated by teams beyond the ones that built themIntegrating AI and LLM capabilities into client applications — building agentic workflows, RAG pipelines, and intelligent automation that ships to production and stays reliableImplementing CI/CD pipelines and delivery automation that give teams the confidence to ship frequentlyMaking day-to-day architecture decisions within your scope and escalating the right ones to the account lead or architect when they have broader implicationsIdentifying technical risk early and surfacing it clearly before it becomes a delivery problemGenerating ideas, failing fast, and demonstrating with POCsDriving knowledge sharing in and out of client engagementsParticipating in business developmentTeam and PeopleLead a small team of engineers — organizing work, breaking down tasks, pairing on hard problems, and keeping the team movingUplift engineers through code review, pairing, and day-to-day technical mentorshipMentor junior team members through 1:1s, feedback, and guiding technical growth Stakeholder CommunicationServe as a technical point of contact for your scope — representing the work clearly to client engineers and project stakeholdersKeep account leaders and architects up to date on concerns, blockers, and changesAdapt quickly to change and shift focus as required to meet customer needsProvide feedback on team performance and areas for growthExperience and SkillsEngineeringYou've built and shipped full-stack applications — greenfield and legacy modernization — and you have real depth in at least one part of the stack with enough breadth to work productively across the othersYou're fluent in multiple programming languages and paradigms — you write clean, testable, production-quality code and you know the difference between code that works and code that lastsYou've delivered cloud-native solutions across greenfield builds and brownfield modernization — frontend, backend APIs, cloud-hosted services — and you can speak to the tradeoffs at each layerYou've made real architecture decisions — designed systems under constraints, documented tradeoffs, and been accountable for what happened when those decisions met productionYou've worked inside enterprise environments with complex distributed systems and multi-cloud setups, and you know how to keep delivery moving despite the organizational friction that comes with themYou can own code quality for a team — writing, reviewing, and raising the bar for the engineers around you without creating a bottleneckYou're comfortable with cloud-native architecture, branching strategies, and CI/CD automation — and you understand enough about platform and infrastructure to make good application-layer decisionsYou've been embed