Job
Description
You are a highly experienced Service Delivery Lead with over 15+ years of expertise in Project Management related to Linux tools and cloud infrastructure management within the AI acceleration industry. Your role involves delivering complex technical projects, particularly in the deployment and management of Gen AI solutions, ensuring seamless integration and optimal performance of cloud-based infrastructures. You will lead the planning, execution, and delivery of Gen AI cloud infrastructure projects, ensuring alignment with strategic objectives and client requirements. Employ agile methodologies to manage project timelines, resources, and deliverables effectively. Provide expert guidance on the integration and deployment of Gen AI solutions within cloud environments, leveraging platforms such as Velocis, Overwatch, and Aegis. Oversee the design and implementation of scalable, secure, and efficient cloud infrastructures utilizing Linux-based tools and technologies. Maintain strong relationships with clients, ensuring clear communication of project progress, risks, and mitigation strategies. Collaborate with internal teams and stakeholders to align project objectives with business needs. Allocate and manage resources across multiple projects, optimizing team performance and skill utilization. Mentor and develop team members, fostering a culture of continuous improvement and technical excellence. Identify potential project risks and proactively implement mitigation strategies to ensure successful delivery. Address and resolve technical challenges related to cloud infrastructure and Gen AI integrations. You should possess a Bachelor's degree in Computer Science, Engineering, or a related field, along with over 15+ years of experience in service delivery management within the cloud infrastructure industry, focusing on Linux-based tools and technologies. Proven expertise in delivering Gen AI solutions, with a deep understanding of AI frameworks and cloud integration. Strong leadership and team management skills, with excellent communication and interpersonal skills to engage effectively with technical and non-technical stakeholders. In-depth knowledge of cloud platforms (AWS, Azure, Google Cloud) and experience with cloud orchestration tools such as Kubernetes and Terraform. Proficiency in programming and scripting languages like Python, Go, or Bash, in the context of cloud automation. Experience with AI/ML deployment in cloud environments and using cloud services for scalable AI solutions. Preferred qualifications include a Master's degree in a relevant field, certifications in cloud platforms or AI/ML technologies, and experience with AI ethics and governance, including issues related to bias, fairness, and transparency in AI models.,