The SpringCube team curated the following job opportunity to help you in your
job search. Explore the position below to find your next career move.
Company Overview
This is an excellent opportunity to join a global professional services company with leading capabilities in digital, cloud, and security. Combining unmatched experience and specialized skills across more than 40 industries, the company offers Strategy and Consulting, Technology and Operations services, and Accenture Song — all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Their 700,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. They embrace the power of change to create value and shared success for their clients, people, shareholders, partners, and communities.
Responsible AI – Technology Architecture Senior Manager
Qualifications
A successful candidate will possess:
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related technical fields.
8-10 years of manager experience.
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.
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.
Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore.
1.No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2.No Client Relationship: This company is not a client of SpringCube unless stated.
3.To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
4.No Liability: SpringCube is not liable for inaccuracies.
Save
