Principal Gen AI Architect
E-Solutions
AI Solutions Architect
Key Responsibilities
- Design comprehensive AI solutions integrating the latest AI technology developments.
- Lead architectural discussions with clients across AI PC, Edge, Data Centre, and Public Cloud.
- Drive AI and cloud architecture optimization for client solutions.
- Architect innovative AI solutions from ideation to MVP, delivering business value.
- Provide strategic guidance on incorporating Generative AI into business operations.
- Engage in workshops, briefings, and strategic dialogues with clients.
- The author taught leadership content and spoke at industry events.
Technical & Engineering Leadership
- Expertise in AI solution design with an understanding of GPU/NPU, Cognitive Infrastructure, and Copilot domains.
- Experience collaborating with global partners such as Google, Microsoft, AWS, NVIDIA, IBM, and more.
- Knowledge of open-source technologies (Kubernetes, OPEA) and cloud platforms.
Service Delivery & Innovation
- Ensure solutions align with AI best practices across environments.
- Drive adoption of cutting-edge GenAI technologies, pushing boundaries in AI integration.
Collaboration & Customer Engagement
- Engage with multiple customers, fostering consultative relationships.
- Maintain hands-on technical credibility and mentor other team members.
Mandatory Skills & Experience
- 15+ years in architecture design and 10+ years in software engineering.
- Professional expertise in AWS, Azure, and Google Cloud.
- Proficient in Python, Java, or Go languages.
- Advanced machine learning and GenAI models (GPT, BERT, etc.).
- Familiarity with Copilot solutions in software engineering and office productivity.
- Agile and Scrum project management experience.
Desired Skills & Experience
- Experience with GenAI operations (LLMOps) and AI governance.
- Proficiency in data engineering, feature engineering, and AI pipeline creation.
- Knowledge of Responsible AI practices, governance, and bias mitigation.
- Deep Learning Frameworks (TensorFlow, PyTorch).
Certifications
- Professional certification from Google, Microsoft, or AWS in AI or Cloud-related domains.
Soft Skills
- Exemplary communication and leadership skills.
Vacancy posted 2 days ago
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