Domain Specialist
1 day ago
Job Posting Location: Muscat, Oman
Position Objectives:
- Assess organizational readiness for adopting Generative AI, Agentic AI, and LLM-based solutions.
- Identify, evaluate, and prioritize high-impact use cases aligned with business and operational needs.
- Conduct research and feasibility studies to guide the development of GenAI and LLM-driven pilot initiatives.
- Translate strategic objectives into actionable AI roadmaps, innovation frameworks, and concept designs.
- Support the formulation of GenAI governance, ethics, and risk management principles for responsible adoption.
- Provide expert advisory input on LLM architectures, Agentic AI workflows, and multilingual NLP adaptation.
- Deliver technical documentation, whitepapers, and maturity assessments to support executive decision-making.
- Collaborate with AI, data, and technology teams to ensure alignment with enterprise digital transformation goals.
Job Description & Responsibilities:
- Identify and evaluate applied GenAI, Agentic AI, and LLM use cases across organizational functions.
- Conduct feasibility, impact, and risk assessments for proposed GenAI/LLM initiatives.
- Perform research on emerging GenAI tools, LLM architectures, agent frameworks, and industry best practices.
- Design conceptual workflows, prototypes, and pilot approaches for prioritized AI use cases.
- Support development of RAG pipelines, prompt engineering strategies, and vector database integration models.
- Assess data readiness, infrastructure needs, and integration requirements for GenAI adoption.
- Prepare whitepapers, concept notes, maturity assessments, and executive-level presentations.
- Ensure alignment with AI governance, ethics, safety, and transparency standards.
- Collaborate closely with AI strategy, data engineering, and enterprise architecture teams.
- Advise on deployment choices across cloud, on-prem, and hybrid environments for LLM and agent models.
- Contribute to innovation sandbox design and evaluation for testing GenAI and Agentic AI solutions.
- Support model evaluation, benchmarking, and continuous improvement of LLM/agent workflows.
- Provide guidance on multilingual (Arabic/English) NLP adaptation needs and fine-tuning considerations.
- Engage with business units to capture requirements and translate them into AI-driven solutions.
- Promote awareness and adoption of GenAI capabilities through workshops, demos, and knowledge sessions.
Qualification & Experience:
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- 7+ years of experience in AI/ML, with at least 2 years working specifically with Generative AI, LLMs, or Agentic AI frameworks.
- Hands-on experience with LLM architectures, prompt engineering, RAG systems, and agentic workflow design.
- Strong understanding of AI lifecycle management, model evaluation, and deployment best practices.
- Prior exposure to AI advisory, strategy development, innovation programs, or public-sector AI initiatives.
- Knowledge of AI ethics, responsible AI principles, and governance/policy alignment frameworks.
- Familiarity with cloud or on-prem AI deployment platforms such as OpenShift AI, Azure ML, AWS Bedrock, or Vertex AI.
- Experience preparing technical documentation, concept notes, research papers, and feasibility assessments.
- Certification : GenAI/Agentic AI, Data Science, or Responsible AI (AWS, Azure, Google, Coursera, or equivalent).
- Excellent command of English is mandatory, while knowledge of Arabic is considered an advantage.
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