Cohesity is on a mission to radically simplify how organizations secure and manage their data, while unlocking limitless value. As a leader in data security and management, we make it easy to secure, protect, manage and derive value from data—across the data center, edge, and cloud. At Cohesity, we're a group of builders and go-getters who are committed to doing the right thing. We encourage you to come as you are, as our differences make us stronger.
We’ve been named a Leader by multiple analyst firms and are prominently featured in the Forbes Cloud 100 and CRN’s Coolest Cloud companies.
Join us and we'll lead the way together.
As the Technical Director specializing in Generative AI, you will be a key architect and technical leader, driving the design and development of sophisticated AI systems. Your role will encompass overseeing the implementation of advanced algorithms, guiding the software architecture, and mentoring a high-caliber team. This is a unique opportunity to shape the direction of AI technology and make lasting contributions to our organization.
Key Responsibilities:
- Technical Leadership:
- Provide expert guidance on software architecture, design decisions, and implementation strategies.
- Lead and inspire a team of software engineers, fostering a culture of excellence and innovation.
- Algorithmic Excellence:
- Drive the development and refinement of state-of-the-art generative AI algorithms and models.
- Collaborate with researchers and engineers to integrate cutting-edge techniques into our systems.
- System Architecture:
- Architect scalable and efficient software systems that seamlessly incorporate generative AI components.
- Collaborate with cross-functional teams to ensure alignment with organizational goals.
- Performance Optimization:
- Optimize algorithms and models for scalability, efficiency, and real-world deployment.
- Conduct thorough performance analysis and contribute to optimization strategies.
- Innovation and Research:
- Stay at the forefront of generative AI and related technologies, incorporating the latest advancements into our projects.
- Contribute to research initiatives and explore novel solutions to advance our product offerings.
- Collaboration and Mentorship:
- Collaborate effectively with multidisciplinary teams, including machine learning researchers and software developers.
- Mentor and guide junior engineers, fostering their professional growth and development.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
- Total industry experience of 15+ years and extensive experience (3+ years) in designing and implementing generative AI solutions.
- Proficiency in programming languages such as Python and/or Golang(This is a hands-on Coding role)
- Completed projects using LLMs +/- Langchain
- Experience with vector databases and semantic search
- Expertise in the serverless stack, including GraphQL
- Deep understanding of deep learning frameworks (e.g., TensorFlow, PyTorch).
- Proven track record of leading and mentoring engineering teams.
- Exceptional problem-solving skills and effective communication abilities.
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Equal Employment Opportunity Employer (EEOE)
Cohesity is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status or any other category protected by law.
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact us at 1-855-9COHESITY or talent@cohesity.comfor assistance.
In-Office Expectations
Cohesity employees who are within a reasonable commute (e.g. within a forty-five (45) minute average travel time) work out of our core offices 2-3 days a week of their choosing.
