Lead AI Engineer
Ingram Micro1 day ago
Chennai, IndiaStaff+
Responsibilities
- Deploy, configure, and manage AI models, agentic systems, and supporting infrastructure in cloud and on-premise environments.
- Implement and maintain CI/CD pipelines for AI/ML models and agentic applications.
- Manage and optimize cloud resources for cost-effectiveness and scalability.
- Develop monitoring, logging, alerting, dashboards, and operational metrics for AI agents and infrastructure.
- Provide production support, incident response, root cause analysis, troubleshooting, and resolution for AI systems.
- Create and maintain runbooks, standard operating procedures, configuration documentation, and troubleshooting guides.
- Automate operational tasks, deployment processes, and system maintenance using scripting and automation tools.
- Improve the deployability, manageability, observability, reliability, and compliance of AI applications.
- Collaborate with AI developers, data scientists, AI architects, infrastructure teams, and other stakeholders.
Requirements
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related technical field.
- 4–7+ years of experience in an MLOps or Agent Ops role, preferably supporting AI/ML or data-intensive applications.
- Hands-on experience with cloud computing platforms, particularly Google Cloud Platform and Vertex AI, and cloud-based infrastructure.
- Proficiency in Python, Bash, or PowerShell for automation.
- Experience with CI/CD tools such as Bitbucket, GitLab CI, or GitHub Actions.
- Familiarity with Docker, Kubernetes, monitoring and logging tools, infrastructure-as-code, Terraform, and Ansible.
- Understanding of networking concepts, security best practices, and infrastructure-as-code principles.
- Strong troubleshooting, problem-solving, communication, and collaboration skills.
- Experience deploying and managing machine learning models or large language model applications in production.
- Master’s degree in a relevant field is preferred.
- Familiarity with AI/ML frameworks and libraries, agentic AI concepts, vector databases, data pipeline tools, and relevant cloud certifications is preferred.
- Experience working in an agile development environment is preferred.
Benefits
- Competitive salary, bonus, and benefits package.
- Opportunity to operationalize cutting-edge Agentic AI and AI systems for a global industry leader.
- Hands-on experience with MLOps, Agent Ops, and cloud technologies.
- Opportunity to make a significant impact on the reliability and efficiency of transformative AI solutions.
- Work in a dynamic, innovative, and collaborative AI Center of Excellence.
Tech Stack
AnsibleApache AirflowBashDatadogDockerGitHub ActionsGitLab CI/CDGoogle Cloud PlatformGrafanaKubernetesPowerShellPrometheusPythonPyTorchscikit-learnTensorFlowTerraform
Categories
About Ingram Micro
Ingram Micro supplies the IT channel with technology distribution, cloud marketplace services, and supply‑chain and lifecycle solutions. It connects hardware and software manufacturers and cloud providers with resellers, MSPs, and other B2B technology partners through its Xvantage platform, financing, and logistics offerings. Founded in 1979 and headquartered in Irvine, California, the company operates globally and is owned by Platinum Equity.