Key Skills: Agentic AI, Architect, AI Artificial intelligence, Python
Roles and Responsibilities:
- Architect end-to-end AI solutions aligned with business and technical requirements.
- Design AI architectures focusing on Agentic AI behaviors, orchestration, and integration patterns.
- Define system components, interfaces, data flows, and architecture blueprints.
- Collaborate with stakeholders and engineering teams to refine and implement solutions.
- Provide technical leadership on AI architecture, scalability, and best practices.
- Review implementations to ensure alignment with defined architecture and quality standards.
- Guide teams in building scalable, maintainable, and production-ready AI systems.
- (Nice-to-have) Support prototyping and development activities using Python where applicable.
Skills Required:
- Strong experience in designing and architecting Artificial Intelligence solutions across enterprise systems.
- Good understanding of Agentic AI concepts including agent orchestration, workflows, and decision-making patterns.
- Ability to translate business requirements into scalable and secure AI architecture designs.
- Experience in defining system architecture including components, interfaces, and data flow.
- Strong knowledge of solution architecture principles including scalability, reliability, and maintainability.
- Experience collaborating with engineering and cross-functional teams to drive technical solutions.
- Ability to provide technical leadership and enforce architecture best practices.
- Familiarity with AI/ML lifecycle including model integration and deployment considerations.
- Understanding of integration patterns for AI systems within enterprise environments.
- Strong problem-solving and analytical thinking skills.
- Good communication skills to align stakeholders and guide technical teams.
- (Nice-to-have) Experience in Python for prototyping and development of AI solutions.
Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field (preferred).