naukri
AI Technical Lead
Total Technologies and Solutions FZ LLC
Dubai, UAE
Lead
2 weeks ago
Artificial IntelligenceMachine LearningLLMsRAG PipelinesVector DatabasesCloud AI Services
Free
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Artificial IntelligenceMachine LearningLLMs
About the Role
Identify AI opportunities across products, software development, QA, DevOps, support, sales, finance, HR, and operations. Establish responsible AI practices covering security, p.
Key Skills for This Role
Artificial IntelligenceMachine LearningLLMsRAG PipelinesVector DatabasesCloud AI Services
Responsibilities
- Identify AI opportunities across products, software development, QA, DevOps, support, sales, finance, HR, and operations
- Establish responsible AI practices covering security, privacy, compliance, explainability, auditability, and human oversight
- Present AI adoption progress, effectiveness, and risks to executive leadership
- Lead AI research, experimentation, prototyping, proof of concepts, and MVP development
- Evaluate emerging AI technologies, LLMs, frameworks, tools, platforms, and cloud AI services
- Build reusable AI components, prompt libraries, knowledge bases, automation templates, and internal accelerators
- Convert R&D outcomes into production ready product features, internal tools, or strategic business capabilities
- Act as the company's AI champion and drive AI adoption across all departments
- Conduct awareness sessions, training programs, workshops, and use case discovery sessions
- Lead design and implementation of AI powered features within products
- Build and deploy Agentic workflows, copilots, chatbots, intelligent assistants, smart search, document intelligence, analytics, and automation features
- Design AI solution architectures using LLMs, RAG pipelines, vector databases, APIs, orchestration frameworks, cloud services, and monitoring tools
Requirements
- Experience in AI/ML, including LLMs, RAG, and cloud AI services
- Strong understanding of AI solution architecture and design
- Ability to lead research, prototyping, and production deployment
- Excellent communication and presentation skills for executive audiences
Full Job Posting
Key Responsibilities
- Identify AI opportunities across products, software development, QA, DevOps, support, sales, finance, HR, and operations.
- Establish responsible AI practices covering security, privacy, compliance, explainability, auditability, and human oversight.
- Present AI adoption progress, effectiveness and risks to executive leadership.
- Lead AI research, experimentation, prototyping, proof of concepts, and MVP development.
- Evaluate emerging AI technologies, LLMs, frameworks, tools, platforms, and cloud AI services.
- Build reusable AI components, prompt libraries, knowledge bases, automation templates, and internal accelerators.
- Convert R&D outcomes into production ready product features, internal tools, or strategic business capabilities.
- Act as the company's AI champion and drive AI adoption across all departments.
- Conduct awareness sessions, training programs, workshops, and use case discovery sessions.
- Help teams use AI to improve productivity, documentation, development, testing, support, analysis, and decision making.
- Create internal AI usage guidelines, prompt engineering guides, best practices, and safe use policies.
- Track adoption, productivity gains, quality improvements, and process efficiencies.
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