Aws AI Engineer- Lead

Role & responsibilities :-

• Essential:- Strong background in software architecture, systems engineering, distributed systems or complex cloud-native platform delivery.
• Essential:- Experience owning complex technical designs from early problem framing through production release and operational support.
• Essential:- Demonstrable understanding of AI-assisted engineering tools and how to validate, govern and improve AI-generated engineering artefacts.
• Essential:- Experience working with cloud services, CI/CD, Infrastructure as Code, observability, security controls and production support models.
• Essential:- Ability to work directly with users to clarify requirements, define acceptance criteria and ensure delivered outcomes match the original need.
• Desirable:- AWS Solutions Architect Associate or Professional certification, or equivalent cloud architecture experience.
• Desirable:- Experience in telecoms, network operations, RAN/Core analytics, data engineering, AIOps, anomaly detection, RCA or operational automation.
• Desirable:- Experience with event-driven architectures, lakehouse patterns, streaming data, model-assisted development or agent orchestration patterns.

Interested candidates kindly share your resume to [email protected] with the below details.

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