Generative AI Operations Engineer (GenAI Ops)

We are seeking a highly motivated and experienced Generative AI Operations (GenAI Ops) Engineer to join our innovative team.In this role, you will be at the forefront of the AI revolution, responsible for building, deploying, and maintaining the operational infrastructure for our cutting-edge generative AI models and services. You will work closely with data scientists, machine learning engineers, and software developers to ensure our GenAI applications—especially complex, multi-agent systems—are scalable, reliable, and efficient across major cloud platforms. If you are passionate about operationalizing large-scale AI systems and want to make a significant impact, this is the role for you. ResponsibilitiesBuild and Manage CI/CD Pipelines: Design, implement, and maintain robust, automated CI/CD pipelines for training, evaluating, and deploying large language models (LLMs) and AI agentsOrchestrate Agentic AI Workflows: Design, deploy, and manage sophisticated, multi-agent systems. Ensure seamless Agent-to-Agent (A2A) communication and collaboration between specialized agents to automate complex business processesManage Tool Integration: Implement and manage secure, scalable integrations between AI agents and external tools/APIs, leveraging open standards like the Model Context Protocol (MCP) to ensure interoperabilityLeverage AI-Powered Development: Utilize AI-powered development tools to accelerate the entire software development lifecycle, from writing infrastructure code and tests to troubleshooting operational issues in cloud environmentsInfrastructure as Code (IaC): Utilize cloud-native IaC services or cloud-agnostic tools like Terraform to define and manage the infrastructure required for GenAI workloadsModel Monitoring and Observability: Implement comprehensive monitoring and logging solutions to track model and agent performance, resource utilization, and system health. For agentic systems, this includes tracing the agent's actions and logging the multi-step conversational flowScalability and Performance Optimization: Design and implement scalable architectures for model serving and inference. Continuously optimize the performance and cost-effectiveness of our GenAI servicesSecurity and Compliance: Implement and enforce security best practices for our GenAI infrastructure and data. Ensure compliance with industry standards and regulations RequirementsBachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience3+ years of experience in a DevOps, SRE, or MLOps role with a focus on cloud infrastructureProven experience with cloud services from major providers like AWS, Google Cloud, or AzureStrong experience building and managing CI/CD pipelines using tools like Jenkins, GitLab CI, or cloud-native servicesProficiency in at least one scripting language (e.g., Python, Bash)Hands-on experience with Infrastructure as Code (IaC) tools such as AWS CDK, CloudFormation, or TerraformExperience with containerization and orchestration technologies (e.g., Docker, Kubernetes)Fluent English communication skills at a B2+ level Nice to haveMaster's degree or PhD in Computer Science, AI, Machine Learning, or a related fieldExperience with cloud-native GenAI services like AWS Bedrock, Azure AI Foundry, or Google Vertex AIFamiliarity with the architecture and operational challenges of Large Language Models (LLMs)Experience designing or managing multi-agent systems or complex, orchestrated workflowsKnowledge of monitoring and observability tools like Prometheus, Grafana, or DatadogRelevant cloud or DevOps certificationsStrong problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment We offerWe 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 LinkedIn Learning and Get AbstractFree English classes with certified teachersDiscounts in local language schools, including online courses for the Kazakh languageWe cover it all: Participation in the Employee Stock Purchase PlanMonetary 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 choiceBenefits package (sports activities, a variety of stores and services) Immerse yourself in our collaborative culture by working on-site at our office in Astana, Almaty or Karaganda. Unlock the potential of remote work in Kazakhstan, giving you the flexibility to work from home or access our offices in Astana, Almaty or Karaganda. EPAM is a team of technologists and innovators united by a passion for technology. In Kazakhstan, we operate across all cities with offices in Astana, Almaty, and Karaganda and work with the world's leading companies from different industries. In 2023, EPAM received the Export Excellence Award at the esteemed Digital Bridge Awards, showcasing our commitment to excellence and innovation.