Related skills
java aws python ai rest📋 Description
- Define and govern technical standards for AI and Conversational AI delivery.
- Lead design/implementation of API integrations and authentication standards.
- Lead PoCs and production components leveraging AWS Cloud, AWS Knowledge Hub, and AI/ML models.
- Drive prompt engineering, conversational design, and AI orchestration best practices.
- Oversee testing, validation, and go-live to ensure quality, security, and usability.
- Lead and develop the engineering team: performance reviews, career growth, and culture of continuous learning.
🎯 Requirements
- Bachelor's degree in Computer Science, Information Systems, Electrical Engineering, or equivalent.
- 15+ years in software engineering or technical delivery, with focus on AI/digital channels.
- 5+ years in technical leadership or people management (Engineering Manager/Tech Lead).
- Strong proficiency in Java, Python, C#, or JavaScript/TypeScript; deep AWS Cloud knowledge; AWS Knowledge Hub; Azure/GCP a plus.
- Proven experience with AI/ML models, Generative AI frameworks, and enterprise AI orchestration; experience with prompt engineering.
- Web APIs, REST, OAuth2, OIDC, SAML; CI/CD pipelines; SQL/NoSQL databases; frontend fundamentals.
🎁 Benefits
- NiCE-FLEX hybrid model: 2 days in office, 3 days remote.
- Global, market-leading AI & cloud platform with career growth.
- Collaborative, fast-paced, innovative environment.
- Exposure to Generative AI, AWS, and enterprise AI platforms.
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