At Miral Experiences, we create world-class immersive destinations and experiences that delight millions of guests each year. As part of our continued digital and AI transformation journey, we are expanding our AI & Data capabilities to power intelligent automation, advanced analytics, and next-generation guest experiences across our portfolio.
If you are passionate about building enterprise-grade AI solutions that deliver real business impact, we would love to hear from you.
Senior Manager – AI Engineer to lead the design, development, and deployment of AI Agents and advanced AI-driven data science solutions
. This role will play a key part in scaling enterprise AI capabilities using Databricks, RAG architectures, fine-tuned LLMs, and modern MLOps practices
.
You will work cross-functionally with business, technology, and data teams to deliver intelligent automation and measurable value across the organization.
- Lead the development and deployment of AI Agents using Databricks and LLM frameworks
- Design and implement RAG pipelines, vector databases, and fine-tuned AI models
- Develop advanced data science and machine learning solutions powered by AI agents
- Translate business requirements into scalable AI solutions
- Integrate AI capabilities with enterprise platforms and data ecosystems
- Ensure strong AI governance, performance, scalability, and reliability
- Lead and mentor a team of AI Engineers, Data Scientists, and MLOps specialists
- Manage AI initiative budgets and platform investments
- Bachelor’s or Master’s degree in AI, Data Science, Computer Science, or related field
- 8–12 years in AI, Machine Learning, or Advanced Analytics
- 3–5 years leading AI or Data Science teams
- Experience delivering enterprise AI or Generative AI solutions (preferred)
- Strong expertise in AI Agent development and orchestration
- Deep understanding of RAG, fine-tuning, and LLM concepts
- Hands‑on experience with Databricks, MLflow, and Python
- Advanced machine learning and data science capabilities
- Prompt engineering and vector database experience
- MLOps and scalable AI deployment
- Experience with Snowflake, AWS, Azure, or GCP
- Exposure to autonomous AI agents and GenAI solutions
- Strategic thinker with an innovation mindset
- Strong leadership and stakeholder management skills
- Excellent communication and influencing ability
- Ownership mentality and strong problem‑solving skills
- Passion for continuous learning in emerging AI technologies
Apply now or reach out to our Talent Acquisition team to learn more.
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