AI Architect

We are seeking an experienced and visionary AI Architect to join our team. As an AI Architect, you will be responsible for designing and developing cutting-edge artificial intelligence and machine learning solutions that enhance cybersecurity and defend against evolving threats. You will collaborate with cross-functional teams, including data scientists, engineers, product managers, and cybersecurity experts, to architect and deliver innovative AI-driven cybersecurity products. Your expertise in AI, machine learning, and cybersecurity will play a crucial role in developing advanced security solutions for our organization and our customers.

Responsibilities:

• AI/ML Strategy and Roadmap: Collaborate with Product Management counterparts to define and develop product AI/ML strategy, identifying opportunities for AI/ML adoption and driving its integration into cybersecurity products including threat detection systems, security analytics platforms and risk evaluation tools. Create a roadmap for AI/ML initiatives aligned with business goals and objectives.
• Solution Design: Architect end-to-end AI/ML solutions, including data collection, preprocessing, modeling, deployment, and maintenance. Design scalable and robust AI/ML systems that can handle large volumes of data and complex algorithms.
• Technology Evaluation: Stay abreast of the latest advancements in AI/ML technologies and evaluate their potential applicability to business needs. Conduct technology assessments and recommend appropriate tools, frameworks, and platforms for AI/ML development and deployment.
• Collaboration and Leadership: Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders, to translate business requirements into technical AI/ML solutions. Provide technical leadership and guidance to ensure the successful implementation of AI/ML projects.
• Data Management: Work closely with data engineers and data scientists to define data requirements, data integration strategies, and data quality standards. Ensure the availability, accessibility, and reliability of data for AI/ML initiatives.
• Model Development and Deployment: Lead the development and deployment of machine learning models, deep learning algorithms, and other AI/ML techniques. Ensure best practices for model training, testing, and validation are followed.
• Performance Optimization: Optimize AI/ML systems for efficiency, scalability, and performance. Identify and address bottlenecks or limitations in AI/ML algorithms, infrastructure, or processes.
• Security and Ethical Considerations: Incorporate security and privacy considerations into AI/ML solutions, ensuring compliance with relevant regulations and industry best practices. Promote ethical AI/ML practices and mitigate bias in AI/ML models and algorithms.
• Documentation and Communication: Document AI/ML architectures, designs, and implementation details. Communicate technical concepts, solutions, and recommendations effectively to technical and non-technical stakeholders.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Ph.D. is a plus.
• Proven experience as an AI Architect, Data Architect, or similar role, with a strong background in designing and implementing AI solutions.
• In-depth knowledge of machine learning, deep learning, natural language processing, and other AI techniques.
• Strong programming skills in languages such as Python, R, or Java.
• Experience with AI frameworks and tools such as TensorFlow, PyTorch, scikit-learn, or Keras.
• Familiarity with cloud platforms and services (e.g., AWS, Azure, GCP) for AI development and deployment.
• Understanding of big data technologies and architectures (e.g., Hadoop, Spark).
• Solid understanding of software engineering principles, including design patterns, coding standards, and version control.
• Strong problem-solving and analytical skills, with the ability to navigate complex technical challenges.
• Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.
• Experience in cybersecurity is a plus

Why Mimecast?

We're fast thinking. We go big to reach our cyberattack-disrupting goals. And we do what we need to protect the world of business from getting important (and potentially compromising) data stolen. We never leave anyone behind. We deliver quickly - and outstandingly. We're big on honesty because it makes us better. We're empowered by our mission. And if cybercriminals have a good day, we work twice as hard to make the rest of their days a nightmare. That's The Mimecast Way.

And the Mimecast way is also a hybrid-working way. We empower our people to balance their time between home and the office in a way that works best for them, their team, and our stakeholders.

Become a Mimecaster and put corporate data under your protection. Fill our teams with respect. And bring cybercrime-obstructing energy to your work. Be passionate. Be powerful. Be alive with purpose.

DEI Statement

Cybersecurity is a community effort. That's why we're committed to building an inclusive, diverse community that celebrates and welcomes everyone - unless they're a cybercriminal, of course.

We're proud to be an Equal Opportunity and Affirmative Action Employer, and we'd encourage you to join us whatever your background. We particularly welcome applicants from traditionally underrepresented groups.

We consider everyone equally: your race, age, religion, sexual orientation, gender identity, ability, marital status, nationality, or any other protected characteristic won't affect your application.

If you require any adjustments or accommodations due to a disability, or any other reason that may help you in your interview process, please let us know by emailing [email protected].

Due to certain obligations to our customers, an offer of employment will be subject to your successful completion of applicable background checks, conducted in accordance with local law.