Enterprise Architect - PSA
Enterprise Architect - PSA
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Job Description
Enterprise Architect - PSA
Job Description:
Strategic Planning Governance Stakeholder Management:
- Develop and implement a strategic roadmap for AI and GenAI initiatives.
- Establish governance frameworks and policies to ensure compliance and best practices.
- Monitor and enforce adherence to governance policies.
- Engage with business leaders IT teams and other stakeholders to understand their needs and promote the benefits of AI technologies.
- Facilitate communication and collaboration between different departments
AI/GenAI Development & Advisory
- Identify and promote innovative use cases for AI and GenAI.
- Support the development of custom AI applications models and solutions.
- Work on functional design process design (including scenario design flow mapping) prototyping testing training and defining support procedures in collaboration with other teams.
- Lead and develop chatbot (GPT Llama Claude) and automation business flow using Microsoft technology stack such as MS OpenAI AI Search Power Platform etc
- Conduct evaluations of the Large Language Models provided by the key players in the market.
- Encourage experimentation and prototyping to drive digital transformation.
- Advise on a broad range of technology associated with AI.
Security and Risk Management:
- Implement security measures to protect data and AI models.
- Ensure that AI solutions adhere to security policies and standards.
Training and Enablement:
- Develop and deliver training programs to upskill employees on AI and GenAI tools.
- Provide ongoing support and resources to users and developers.
- Develop training material and provide tech talk to users.
- Foster a community of practice for sharing knowledge and best practices.
Job requirements:
- Minimum 12 years of related experiences in IT industry with banking experience.
- Minimum 8years of experience in applying AI to practical and comprehensive technology solutions.
- Professional certifications in Azure ArtificialIntelligence& Data Science.
- Bachelors degree related to ArtificialIntelligenceor Data Science.
Technical Expertise:
- In-depth Knowledge of AI and GenAI technologies including machine learning deep learning natural language processing and generative models.
- Proficiency in using AI development frameworks (e.g. TensorFlow PyTorc).
- Deep understanding in Azure Cloud MS OpenAI AI Search Form Recognizer ADLS and Cosmos DB.
- Deep understanding and practical experience with LLMs such as GPT Llama Claude etc.
- Excellent knowledge in agentic AI.
- Practical experience in defining MLOps and DataOps.
- Experience in REST API development familiar with development framework such as Django express JS spring Boot etc
- Experience in modern data platform NoSQL database design and RDBMS design and optimizations.
- Experience in data transformation/integrationBI data analytics reporting and machine learning toolsets such as Talend Alteryx Tableau PowerBI etc.
- Expertise in data analysis data engineering and statistical modeling.
Leadership and Management Skills:
- Ability to lead and mentor a team of AI architects and engineers.
- Experience in managing AI Product including planning execution and delivery.
- Ability to engage with business leaders IT teams and other stakeholders to promote AI initiatives.
- Ability to develop and implement a strategic roadmap for AI and GenAI initiatives. Understanding of business processes and the ability to align AI solutions with business goals.
- Ability to identify and promote innovative use cases for AI and GenAI.
Governance and Compliance:
- Knowledge of AI governance frameworks and best practices for managing AI technologies.
- Ability to assess and mitigate risks associated with AI deployments.
Communication and Training:
- Ability to articulate the value and benefits of AI to stakeholders.
- Experience in developing and delivering training programs to upskill employees on AI technologies. Ability to create a knowledge-sharing culture and foster a community of practice.
- Strong presentation technical documentation and project management skills.
Problem-Solving and Innovation:
- Strong analytical and problem-solving skills to address technical challenges.
- Ability to drive continuous improvement and innovation in AI solutions
Employment Type
Full-Time
