Summary
✨ AI‑Generated
A hands-on Lead AI Engineer will design and deploy production AIOps solutions using cloud-based generative AI and agent architectures. The role combines Python or TypeScript engineering with infrastructure as code, AI service development, operational automation, monitoring, incident handling, and scalable production delivery.
Highlights
Hands-on lead AI engineering role focused on production GenAI and AIOps, with modern cloud architecture, agent-based systems, infrastructure as code, and end-to-end deployment responsibilities.
Description
We are seeking a hands-on Lead AI Engineer focused on building and deploying AIOps solutions using AWS Bedrock and agent-based architectures.
The role requires strong engineering capability in Python or TypeScript combined with real-world experience implementing GenAI-powered systems in cloud environments.
Experience the freedom of remote work from anywhere in Uzbekistan, whether it's the comfort of your home or our modern office in Tashkent.
Responsibilities
Design and implement AIOps solutions leveraging AWS Bedrock and agent-based architecturesBuild, deploy, and maintain AI services using Python or TypeScriptDevelop and manage infrastructure using AWS CDKIntegrate GenAI capabilities into operational systems, including monitoring, automation, and incident handlingCollaborate with cross-functional teams to deliver production-ready AI featuresEnsure scalability, reliability, and performance of deployed solutions
Requirements
5+ years of hands-on engineering experience delivering production-grade solutions (not only prototypes or POCs)At least 1 year of relevant leadership experienceProven expertise in AWS Bedrock (including AgentCore) applied in real projectsProficiency in Python or TypeScriptSkills in building and deploying infrastructure using AWS CDKUnderstanding of DevOps practices, including CI/CD, deployment, and monitoringBackground in AIOps or observability platformsStrong communication skills for effective team collaborationProficiency in English at an Upper-Intermediate level (B2) or higher
Nice to have
Background in Generative AI and LLM-based solutionsExperience working in distributed or customer-facing teamsFamiliarity with the broader AWS ecosystem, such as Lambda, ECS, etc.
We offer
We connect like-minded people:Delivering innovative solutions to industry leaders, making a global impactEnjoyable working environment, whether it is the vibrant office or the comfort of your own homeOpportunity to work abroad for up to two months per yearRelocation opportunities within our offices in 55+ countriesCorporate and social eventsWe invest in your growth:Leadership development, career advising, soft skills and well-being programsCertifications, including GCP, Azure and AWSUnlimited access to EPAM's internal learning databaseFree English classes with certified teachersDiscounts in local language schools, including offline courses for the Uzbek languageWe cover it all:Monetary bonuses for engaging in the referral programMedical & family care packageFour trust days per year (sick leave without a medical certificate)Discounts for fitness clubs, dance schools and sports programsBenefits package (sports activities, a variety of stores and services)
EPAM Uzbekistan is a team of technologists and innovators united by technology.
In 2019, we opened our first office in Tashkent.
Since then, we’ve built a continuously learning organization that helps its employees reach their full potential and achieve professional goals through learning.
Our agile methodologies, client collaboration frameworks, engineering excellence programs, and hybrid teams offer many career paths and development opportunities.