Senior Director of Engineering, AI Workload Orchestration

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Overview

The Senior Director of Engineering for AI Workload Orchestration at Oracle will lead strategic initiatives to drive the development and execution of innovative AI solutions that optimize workload management across diverse environments. This role will involve collaborating with cross-functional teams to design, implement, and enhance AI-driven orchestration technologies while ensuring alignment with Oracle's business objectives. The successful candidate will be responsible for fostering a culture of technological excellence and collaboration, leading the engineering team, and overseeing the entire project lifecycle from conception through deployment and optimization.

Job Responsibilities

• Lead the engineering team in the design and development of AI workload orchestration solutions.
• Define and execute the technical vision and roadmap for AI technologies.
• Collaborate with product management and UX teams to align engineering efforts with customer needs.
• Oversee the integration of machine learning models into workload orchestration platforms.
• Manage a team of engineers, fostering professional growth, performance, and collaboration.
• Ensure project deliverables are met on time and align with Oracle’s quality standards.
• Engage with stakeholders to collect requirements and provide progress updates.
• Drive continuous improvement initiatives within the engineering team.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 10+ years of experience in software engineering, with at least 5 years in a leadership role.
• Strong expertise in AI and machine learning technologies.
• Proficiency in programming languages such as Python, Java, or C++.
• Experience with cloud platforms and orchestration tools.
• Outstanding project management skills and experience with Agile methodologies.
• Proven ability to manage cross-functional teams and collaborate effectively.

Technologies & Tools

The Senior Director of Engineering will frequently work with a range of technologies and tools, including but not limited to cloud computing platforms such as Oracle Cloud Infrastructure, Kubernetes for container orchestration, machine learning frameworks like TensorFlow or PyTorch, and software development tools such as Git for version control. Familiarity with data analytics tools and enterprise software solutions will also be vital in this role.

Ideal Candidates

Ideal candidates will possess strong leadership qualities, with the ability to inspire and drive a team towards achieving ambitious goals. They should demonstrate exceptional problem-solving skills and a strategic mindset, combined with a hands-on approach to technology. Excellent communication and interpersonal skills are essential for collaborating with diverse teams and interacting with stakeholders. A passion for innovation in AI and a commitment to continuous learning will also greatly contribute to the candidate's success in this role.