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6 часов назад

Senior Manager - AI Engineering (Generative AI)

Формат работы
remote (только United_arab_emirates)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UAE
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Manager - AI Engineering (Generative AI): Leading the design and delivery of enterprise AI platforms, conversational AI, knowledge solutions, and intelligent automation for banking operations with an accent on LLMs, RAG, agentic systems, and secure cloud deployment. Focus on building scalable MLOps pipelines, implementing human-in-the-loop controls, and improving model reliability, fairness, explainability, and regulatory compliance.

Location: Abu Dhabi, United Arab Emirates

Company

hirify.global is a banking organization advancing digital transformation, customer experience, service delivery, and operational excellence through its Group Business Services team.

What you will do

  • Lead the design and delivery of enterprise AI platforms, conversational AI, enterprise knowledge solutions, and reusable digital and mobile channel integration frameworks.
  • Oversee intelligent automation for KYC, compliance, customer service, and risk monitoring, including agent workflows, orchestration frameworks, and human-in-the-loop controls.
  • Operationalize generative AI, large language models, embedding models, foundation models, and AI services across business use cases.
  • Lead cloud-based AI and ML pipelines across Azure and AWS, using secure storage, efficient processing, serverless approaches, and cloud-native architecture.
  • Apply MLOps, Docker, Kubernetes, CI/CD, monitoring, automated retraining, drift management, and model evaluation practices.
  • Manage and motivate the engineering team, oversee delivery against objectives, and implement departmental policies, change initiatives, and service standards.

Requirements

  • At least 7 years of experience leading AI/ML engineering, platform development, or large-scale digital product engineering.
  • Enterprise-scale experience deploying AI/ML solutions, preferably in banking or financial services, including conversational AI, agents, generative AI platforms, or enterprise ML platforms.
  • Bachelor’s degree in Computer Science, Artificial Intelligence, Software Engineering, Statistics, Mathematics, or a related quantitative field.
  • Strong knowledge of deep learning, LLMs, multimodal models, RAG, vector databases, agentic systems, NLP/NLU, recommendation engines, and personalization.
  • Proficiency with Python, SQL/NoSQL, GraphQL, REST, FastAPI, Azure, AWS, MLOps, data lakes, knowledge graphs, vector databases, Tableau, Power BI, or Superset.
  • Strong communication, stakeholder engagement, rapid prototyping, enterprise-grade security and scalability, and familiarity with foundation models, RLHF, agentic AI, and open-source communities.

Nice to have

  • Experience implementing a digital-only bank or leading a major digital transformation.
  • Master’s degree or equivalent qualification in AI/ML.
  • Experience with LangChain, CrewAI, Pinecone, Azure OpenAI, or Amazon Bedrock.

Culture & Benefits

  • Fixed-term employment status for 3 years.
  • Competitive salary with eligibility for variable pay plans.
  • Medical, group life, and personal accident insurance, paid leave, and leave airfare.
  • Preferential employee rates on loans and finance facilities, staff discounts, and education assistance for children at certain job levels.
  • Flexible and remote working options subject to eligibility and job requirements.
  • Instructor-led courses, e-learning, on-the-job training, and professional development programs.

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