Summary
✨ AI‑Generated
A hands-on Lead AI Engineer role for building production-grade AIOps solutions using cloud-based generative AI and agent architectures. You will design and deploy AI services, manage infrastructure as code, integrate intelligent automation into operational workflows, and guide engineering delivery. Strong Python or TypeScript skills, substantial production engineering experience, and leadership experience are expected.
Highlights
Lead hands-on AI engineering work focused on production-grade AIOps, cloud-native GenAI, automation, monitoring, and incident handling, with opportunities to shape scalable and reliable AI services.
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.
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 teachersWe cover it all:Monetary bonuses for engaging in the referral programMedical & family care packageSix trust days per year (sick leave without a medical certificate)Coverage of psychology sessions of your choiceDiscounts for fitness clubs and sports programsBenefits package (sports activities, a variety of stores and services)
EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups.
With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.
Experience the freedom of remote work from anywhere in Kyrgyzstan, whether it's the comfort of your home or our modern office in Bishkek.
