Enterprise Architect - PSA
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.
- Bachelor's 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/integration,BI, 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
Key job details
About Virtusa
Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.
Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.
Virtusa is an Equal Opportunity Employer. All applicants will receive fair and impartial treatment without regard to race, color, religion, sex, national origin, ancestry, age, legally protected physical or mental disability, protected veteran status, status in the U.S. uniformed services, sexual orientation, gender identity or expression, marital status, genetic information or on any other basis which is protected under applicable federal, state or local law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government-issued ID during each interview. All candidates must be authorized to work in the USA.
Learn more
Awards and recognition
Syncing your Virtusa Information
Syncing Complete
Exporting your personal Virtusa brand items
Export Complete
Check your downloads folder for files and implementation instructions.
Assets are now available in your profile for future editing and use.
Loading your existing headshots
Please select any one of the images below
Downloading Secure Assets
Signing out