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We are building AI capabilities into the full SDLC and need an AI Engineering Manager to lead hands-on delivery at scale.
You will embed LLM tooling into engineering workflows, ship production services and integrations, and enable teams with guardrails, best practices, and measurable impact—apply now.ResponsibilitiesDesign and deliver AI-powered solutions embedded into SDLC workflows across requirements, development, testing, and CI/CDBuild backend services and integrations that enable LLM-based tooling within engineering environmentsCreate prototypes and mature them into production-ready AI-assisted automationImplement AI capabilities into CI/CD pipelines, code review processes, and testing frameworksIdentify SDLC use cases with the highest impact for AI enablementDefine best practices for AI-assisted development across teamsSupport engineering teams hands-on as they adopt AI toolsEstablish guardrails to ensure secure and responsible AI usageMeasure and communicate the impact of AI adoption on cycle time, quality, and productivityRequirementsProven background with 9+ years of engineering experience in Python (must-have), with added exposure to Java or Node.js as a plusHands-on experience integrating external APIs,
including AI/LLM servicesSolid knowledge of CI/CD pipelines along with DevOps ways of workingExpert-level understanding of microservices architecture plus Docker and KubernetesStrong capability to deliver production-grade services with scalability, monitoring, and logging in mindPractical experience using LLM APIs and crafting promptsDeep understanding of end-to-end SDLC processesDemonstrated examples of boosting developer productivity through toolingClear ability to drive adoption of new technical practices across engineering teamsEffective communication skills when working with engineers and stakeholdersFlexibility to turn AI capabilities into actionable engineering improvementsConfidence running demos, workshops, and internal technical sessionsWe offerInternational projects with top brandsWork with integral teams of highly skilled, diverse peersEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn
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Postúlate en Kit Empleo: kitempleo.com.ar/empleo/qev6s
📌 Ai Sdlc Delivery Lead (Berazategui)
🏢 EPAM Systems
📍 Berazategui
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