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Senior Manager - AI Engineering
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior Manager - AI Engineering (Generative AI): Leading the design and delivery of enterprise AI platforms, conversational AI, intelligent automation, and cloud-based ML pipelines with an accent on LLMs, agentic systems, MLOps, and secure banking applications. Focus on scaling foundation models, implementing RAG and human-in-the-loop controls, and improving platform reliability, compliance, and operational performance.
Location: Abu Dhabi, United Arab Emirates
Company
is a UAE banking institution advancing digital transformation, enterprise services, customer experience, and responsible innovation.
What you will do
- Lead the design and delivery of 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 and human-in-the-loop controls.
- Operationalize generative AI, large language models, embedding models, prompt engineering, fine-tuning, evaluation, monitoring, retraining, and drift management.
- Provide technical leadership for Azure and AWS AI/ML pipelines, foundation model deployments, secure data storage, serverless services, and cloud-native architectures.
- Apply containerization, Docker, Kubernetes, CI/CD, MLOps, and generative AI design patterns while evaluating tools such as LangChain, CrewAI, Pinecone, Azure OpenAI, and Bedrock.
- Manage and develop the engineering team, supervise delivery, implement departmental processes, and lead change initiatives aligned with banking 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; experience with conversational AI, agents, and generative AI platforms.
- Bachelor’s degree in Computer Science, Artificial Intelligence, Software Engineering, Statistics, Mathematics, or a related quantitative field.
- Expertise in 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, Docker, Kubernetes, CI/CD, data platforms, and BI tools.
- Strong communication and stakeholder engagement skills, with experience prototyping secure, scalable enterprise solutions.
Nice to have
- Experience implementing a digital-only bank or leading a major digital transformation.
- Master’s degree or equivalent in AI/ML.
- Active contribution to AI communities and open-source projects.
- Experience with foundation models, RLHF, and emerging agentic AI trends.
Culture & Benefits
- Fixed-term employment for 3 years.
- Variable pay plan eligibility in addition to the competitive salary.
- Medical, group life, and personal accident insurance, paid leave, and leave airfare.
- Preferential 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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