كلما زادت طلبات التقديم التي ترسلينها، زادت فرصك في الحصول على وظيفة!

إليك لمحة عن معدل نشاط الباحثات عن عمل خلال الشهر الماضي:

عدد الفرص التي تم تصفحها

عدد الطلبات التي تم تقديمها

استمري في التصفح والتقديم لزيادة فرصك في الحصول على وظيفة!

هل تبحثين عن جهات توظيف لها سجل مثبت في دعم وتمكين النساء؟

اضغطي هنا لاكتشاف الفرص المتاحة الآن!
نُقدّر رأيكِ

ندعوكِ للمشاركة في استطلاع مصمّم لمساعدة الباحثين على فهم أفضل الطرق لربط الباحثات عن عمل بالوظائف التي يبحثن عنها.

هل ترغبين في المشاركة؟

في حال تم اختياركِ، سنتواصل معكِ عبر البريد الإلكتروني لتزويدكِ بالتفاصيل والتعليمات الخاصة بالمشاركة.

ستحصلين على مبلغ 7 دولارات مقابل إجابتك على الاستطلاع.


تم إلغاء حظر المستخدم بنجاح
https://bayt.page.link/2ENebkGV8yRoGs8i7
العودة إلى نتائج البحث‎
خدمات الدعم التجاري الأخرى
أنشئ تنبيهًا وظيفيًا لوظائف مشابهة
تم إيقاف هذا التنبيه الوظيفي. لن تصلك إشعارات لهذا البحث بعد الآن.

الوصف الوظيفي

NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services.  Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D.



Location: | Experience: 8+ years



Role Overview



We’re hiring a Senior AI Engineer to design, build, and productionize GenAI and agentic systems (RAG, tool-using agents, workflow/graph-based orchestration) on one or more hyperscalers (Azure, AWS, GCP). You’ll lead development across the full lifecycle—problem framing, data/feature/RAG pipeline design, model selection/finetuning, safety/guardrails, evaluation/observability, and MLOps deployment—while mentoring junior engineers and partnering with product, design, and clients.



Key Responsibilities



  • Design & build GenAI/agentic systems (chat copilots, workflow/graph agents, tool use, memory)
  • Implement chunking, hybrid search, vector stores, re-ranking, feedback loops, and continuous data quality/eval.
  • Select/integrate/finetune LLMs & multimodal models
  • Apply prompt-engineering techniques to specific use cases and types
  • Experience working on solutions based on LLM, NLP, DL (Deep Learning), ML (Machine Learning), object detection / classification etc.
  • Should have clear understanding of CI/CD.
  • Should have knowledge in configuring guardrails, PII redaction.
  • Finetune LLM models
  • Should be able to work on solution building along with presales/customer teams
  • Collaborate with clients/Stakeholders from multiple Geographies.
  • Stay informed about the latest advancements in Gen AI, machine learning, and AI technologies to optimize our technical stack.

Qualifications



  • Bachelor’s/Master’s Degree or equivalent.
  • 8+ years in software/ML engineering, 1.5+ years hands-on with LLMs/GenAI and agentic frameworks.
  • Proven track record shipping production AI systems on at least one hyperscaler (Azure/AWS/GCP).
  • Experience leading 3–6 engineers and owning end-to-end delivery.

Required Skills



  • Strong Python experience to build multiple AI-ML/ GenAI Solutions.
  • Should have experience working on Agent orchestration with leading frameworks like LangGraph, LangChain, Semantic Kernel, CrewAI, AutoGen.
  • Strong experience working on Vector DB like Pinecone, Milvus, Redis/pgvector); Should have experience working on hybrid search and re-rankers
  • Should have experience on evaluation & observability
  • Experience working on SQL Query, NLP, CV, Deep Learning Algorithms
  • Should have working experience with Open Source Models
  • Experience on UI/UX will be added advantage.

#GenAINTT




RESUME SELECTION Guidelines:



  • Delivered at least 2 GenAI/Agentic AI solutions for clients
  • Extensive experience of minimum 6+ years on Python
  • Led 2–3 successful client POCs/MVPs
  • Led team of minimum 3 GenAI Engineers


#GenAINTT




NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services.  Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D.




لقد تمت ترجمة هذا الإعلان الوظيفي بواسطة الذكاء الاصطناعي وقد يحتوي على بعض الاختلافات أو الأخطاء البسيطة.

لقد تجاوزت الحد الأقصى المسموح به للتنبيهات الوظيفية (15). يرجى حذف أحد التنبيهات الحالية لإضافة تنبيه جديد.
تم إنشاء تنبيه وظيفي لهذا البحث. ستصلك إشعارات فور الإعلان عن وظائف جديدة مطابقة.
هل أنت متأكد أنك تريد سحب طلب التقديم إلى هذه الوظيفة؟

لن يتم النظر في طلبك لهذة الوظيفة، وسيتم إزالته من البريد الوارد الخاص بصاحب العمل.