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Company Overview: This company is a global professional services firm that provides a comprehensive suite of services to help businesses navigate the complexities of the digital age.
Responsible AI – Technology Architecture Senior Manager
Qualifications
Here’s What You Need:
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related technical fields.
Manager experience: 6-8 years
Senior Manager: 8-10 years
Architectural experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI services
Proficiency in AI and machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch).
Strong programming skills in languages such as Python, R, or Java.
Experience with big data technologies (e.g., Hadoop, Spark) and database management systems.
Specific technology domain areas experience in at least one of: software development, cloud computing, systems engineering, data & analytics.
Knowledge of ethical AI principles, data privacy laws, and regulatory requirements.
Proven track record in leading and delivering complex AI projects.
Experience in implementing AI solutions in large-scale, enterprise environments.
Strong leadership and team management skills.
Excellent problem-solving and analytical abilities.
Effective communication skills, capable of conveying complex AI concepts to diverse audiences.
Commitment to ethical AI practices and continuous learning.
Ability to work under pressure and manage multiple projects simultaneously.
Bonus Points If You Have:
Additional courses or training in areas related to responsible AI, ethics in technology, or similar fields are beneficial.
Certifications in AI, machine learning, or related fields.
Experience with Data & AI in specific domains (e.g., healthcare, finance, retail).
Familiarity with AI model explainability and interpretability tools.
Understanding of MLOps, LLMOps and DevOps practices, including CI/CD pipelines, for AI systems.
Containerization capabilities such as Docker and Kubernetes.
Linguistic proficiency (to a reasonable business level) in a language other than English
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