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AI Innovation Engineer Job Opening In Riyadh – Now Hiring Master-Works


Job description

The AI Innovation Engineer is a critical member of Master Works’ Innovation Department, responsible for driving the design and delivery of AI-powered PoCs and MVPs that solve real business challenges.

This role requires a unique blend of engineering excellence, creativity, and applied research mindset to translate cutting-edge AI capabilities -especially those built on large language models (LLMs)-into functional and validated digital solutions.

You will lead AI initiative execution across a variety of domains by leveraging pre-trained models, advanced orchestration techniques, and innovative workflows.

Your primary development stack will be Python and modern AI libraries.

You will also bridge innovation delivery by building lightweight APIs or frontends using Node.js and React when needed to complete a prototype or MVP.

Requirements

  • Design and deliver AI-driven PoCs and MVPs that directly support strategic innovation goals across Master Works and its subsidiaries.

  • Develop full-stack AI systems with Python at the core—using frameworks like FastAPI, Transformers, LangChain, Haystack, and PyTorch—to implement AI pipelines and intelligent service components.
  • Integrate and orchestrate LLMs using: - Retrieval-Augmented Generation (RAG) - - - - Knowledge-Augmented Generation (KAG) Model Context Protocol (MCP) Multi-agent orchestration and A2A workflows Prompt engineering and fine-tuning where applicable
  • Interface with LLM providers (OpenAI, Claude, Groq, Cohere, open-source models) through APIs and SDKs, optimizing model utility and cost-efficiency.

  • Design and manage vector-based search architectures using tools like ChromaDB, Weaviate, Pinecone, or FAISS.

  • Prototype interaction layers, visual interfaces, and lightweight dashboards using Node.js and React, especially for showcasing PoC/MVP deliverables.
  • Collaborate with business stakeholders to shape and prioritize AI use cases, ensuring alignment with internal innovation streams and subsidiary needs.

  • Evaluate, benchmark, and refine AI models for accuracy, performance, and business relevance.

  • Create internal documentation, reusable components, and technical guidelines to support scaling and knowledge sharing.

  • Stay up to date with emerging AI trends and continuously integrate relevant new methods into practice.

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Engineering, or a related technical field.

  • 5+ years of hands-on experience delivering AI-based systems with tangible outcomes.

  • Demonstrated mastery of Python for building AI workflows, services, and integrations using leading AI/ML frameworks.

    Proven experience in developing and integrating LLM-based applications using APIs, SDKs, and orchestration tools.

  • Solid knowledge of RAG, embeddings, vector databases, and prompt tuning techniques.

  • Familiarity with autonomous agent design patterns (e.g., A2A, task chaining, multi-agent flow control).

  • Working knowledge of Node.js and React for full-stack PoC/MVP assembly.

  • Strong experience with cloud-native development, containerization (e.g., Docker), and modern development practices.

Preferred Qualifications

  • Experience building Arabic-aware NLP solutions or localized AI models (e.g., Najdi dialect adaptation, intent classification in Arabic).

  • Background in deploying AI innovations in government, defense, or regulated sectors.

    Experience working in high-velocity innovation teams or R&D-style workstreams.

  • Familiarity with tools like MLflow, LangSmith, or Weights & Biases for experiment tracking.

  • Contributions to AI open-source initiatives, technical publications, or public demos is a plus.

Core Competencies:

  • Innovation-first mindset with ability to rapidly turn ideas into working prototypes.

  • Strong ownership, able to independently manage priorities and delivery.

  • Analytical thinker with the ability to simplify complex technical ideas.

  • Results-driven with a focus on experimentation and measurable outcomes.

  • Excellent communication skills, capable of articulating technical ideas to diverse stakeholders.

  • Ability to work in multi-disciplinary teams and dynamic business environments.

  • Passion for AI and continuous learning of emerging tools, models, and practices.

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your AI Innovation Potential: Insight & Career Growth Guide


Real-time AI Innovation Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for AI Innovation in Riyadh, Saudi Arabia, highlighting market share and opportunities for professionals in AI Innovation roles.

52 Jobs in Saudi Arabia
52
29 Jobs in Riyadh
29
Download Ai Innovation Jobs Trends in Riyadh and Saudi Arabia

Are You Looking for AI Innovation Engineer Job?

Great news! is currently hiring and seeking a AI Innovation Engineer to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Master-Works adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Saudi Arabia laws and regulations

What Is the Average Salary Range for AI Innovation Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Riyadh. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for AI Innovation Engineer?

Key qualifications for AI Innovation Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

How Can I Improve My Chances of Getting Hired for AI Innovation Engineer?

To improve your chances of getting hired for AI Innovation Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for AI Innovation Engineer Job Success

Master-Works interview tips for AI Innovation Engineer

Here are some tips to help you prepare for and ace your AI Innovation Engineer job interview:

Before the Interview:

Research: Learn about the Master-Works's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your AI Innovation Engineer interview at Master-Works, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Master-Works's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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