Job Description
Job Description
We are seeking an Enterprise Architect – AI/Data to design and implement enterprise-level AI and data architectures that align with business objectives and enhance operational capabilities. This role requires deep expertise in AI/ML technologies, big data platforms, and enterprise architecture frameworks.
Key Responsibilities:
- Design and develop end-to-end AI and data architectures ensuring scalability, security, and performance
- Create architectural blueprints and roadmaps for AI and data integration across the organization
- Lead the development of data platforms and AI-driven systems for advanced analytics and automation
- Define AI strategy and oversee its implementation across business units
- Deploy and integrate AI models and tools into production systems
- Design scalable cloud and on-premises data architectures using Azure, AWS, or Google Cloud
- Work with big data technologies (Hadoop, Spark) and data lake architectures
- Manage integration of AI models into big data platforms for structured and unstructured data
- Collaborate with business and technical teams to translate needs into AI/data solutions
- Stay current with AI, ML, and data technology advancements and best practices
- Assess and mitigate risks related to AI and data architectures, ensuring compliance and security
Required Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field
- 7+ years in enterprise architecture, with 3–5 years focused on AI and data-driven solutions
- Expertise in enterprise architecture frameworks (TOGAF, Zachman)
- Strong knowledge of AI/ML technologies (TensorFlow, PyTorch, Scikit-learn, Keras)
- Experience with big data platforms (Hadoop, Spark) and data lakes
- Hands-on experience with cloud platforms (Azure, AWS, GCP)
- Proficiency in data modeling, data warehousing, and ETL processes
- Familiarity with AI ethics and data privacy considerations
- Excellent communication skills for technical and non-technical audiences
Preferred Skills:
- Experience with DevOps practices for AI and data (CI/CD for AI models)
- Knowledge of data privacy regulations (GDPR, CCPA)
- Familiarity with visualization tools (Power BI, Tableau, Looker)
- Certifications: TOGAF, CDMP, Azure AI Engineer Associate, or similar