Senior Director of Engineering, AI Workload Orchestration

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Overview

The Senior Director of Engineering for AI Workload Orchestration at Oracle will play a pivotal role in guiding and shaping the engineering strategies and initiatives for advanced AI solutions. This leadership position entails overseeing the development, deployment, and optimization of orchestration frameworks that drive AI workloads across various environments. The ideal candidate will leverage their extensive experience in engineering leadership to foster innovation, manage cross-functional teams, and ensure the successful execution of projects aligned with Oracle's strategic objectives in the AI domain.

Job Responsibilities

• Lead the engineering team in the design and implementation of AI workload orchestration solutions.
• Establish and optimize engineering processes to enhance productivity and quality across the development lifecycle.
• Collaborate with product management to translate customer requirements into actionable engineering tasks.
• Drive strategic initiatives that support continuous improvement and innovation within the team.
• Manage resource allocation and project prioritization to meet organizational goals efficiently.
• Ensure adherence to standards, compliance, and best practices in software development and engineering methodologies.
• Act as the primary point of contact for internal stakeholders regarding engineering progress and challenges.
• Foster a culture of collaboration and accountability among team members to achieve high-performance outcomes.

Qualifications

• A Bachelor’s degree in Computer Science, Engineering, or a related field; a Master’s degree is highly preferred.
• Minimum of 10 years of experience in software engineering, with at least 5 years in a leadership role.
• Proven track record of successfully managing large-scale engineering projects, particularly in AI or cloud environments.
• Strong understanding of AI technologies, machine learning, and data processing frameworks.
• Excellent problem-solving skills and ability to navigate complex engineering challenges.
• Exceptional communication skills, with the ability to articulate technical concepts to various audiences.
• Experience with Agile methodologies and project management practices.

Technologies & Tools

The Senior Director will be expected to engage with a variety of modern technologies and tools, including cloud computing platforms (such as Oracle Cloud Infrastructure and AWS), orchestration frameworks (such as Kubernetes and Apache Mesos), machine learning libraries (like TensorFlow and PyTorch), and software development tools (such as Git, Jenkins, and Docker). Familiarity with big data technologies, data storage solutions, and monitoring tools will also be essential to successfully manage the engineering processes related to AI workloads.

Ideal Candidates

Ideal candidates for the Senior Director of Engineering position will possess a combination of technical expertise and leadership capabilities. They should have a visionary mindset, with the ability to innovate and drive change within the organization. Strong interpersonal skills are crucial, alongside the aptitude for mentoring and developing talent within the team. The right candidate will also demonstrate resilience and adaptability in navigating the fast-paced tech landscape and possess a passion for advancing AI technologies and their applications in various business contexts.