Overview
On Site
Depends on Experience
Full Time
Skills
Agile
Artificial Intelligence
Enterprise Architecture
Job Details
Required
Core Enterprise Architecture
Core Enterprise Architecture
- 5+ years' architecture experience with business/capability modeling using EA frameworks (TOGAF/Zachman).
- 5+ years of demonstrated experience with analyzing and documenting business value streams, capabilities, processes, and data using model-based representations for the purpose of collecting, aggregating, or analyzing complex business information.
- Proven ability to define future architecture/technology roadmap and align technology strategy with business goals.
- Strong communication skills to translate technical concepts for executives and technical teams.
- Demonstrates a strong understanding and passion for emerging technologies
- Proven skills in leadership, relationship building, negotiation, collaboration, advocacy, governance, and consensus building.
- Excellent verbal and written communication skills at all levels.
- Team player with proven ability to work effectively within a large matrix organization.
- Ability to make architecture changes in a dynamic agile environment.
Specialized AI/ML Experience
3+ years experience leading or architecting production-grade AI/ML solutions,hands-on with frameworks such as TensorFlow/PyTorch etc.
3+ years experience leading or architecting production-grade AI/ML solutions,hands-on with frameworks such as TensorFlow/PyTorch etc.
- Experience designing MLOps pipelines (MLflow/Kubeflow) and implementing model lifecycle management/governance.
- Knowledge of responsible/ethical AI practices: bias detection/mitigation; explainability; regulatory compliance.
- Proficiency in public cloud AI services: Google Cloud Platform Capgemini/Vertex AI; distributed data platforms (data lakes/feature stores).
- Demonstrates a strong understanding of emerging AI and ML technologies to support the development of new solutions, such as, Agentic AI, GenAI, etc.
Leadership & Collaboration
- Demonstrated skills in leadership, stakeholder engagement, consensus-building for strategic initiatives.
- Team mentorship experience focused on upskilling in AI/ML domains.
- Direct people management experience is a plus.
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