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Lead AI Architect

3670 Kyndryl ME Branch Abu Dhabi

Abu Dhabi

On-site

AED 300,000 - 400,000

Full time

16 days ago

Job summary

A global technology company in the UAE is seeking an experienced AI Architect to develop innovative AI solutions. This pivotal role involves designing advanced architectures and collaborating with teams to implement game-changing AI systems. Ideal candidates should have a PhD and extensive experience in AI system development, including multi-agent frameworks and optimization techniques. This position promises an opportunity to work with cutting-edge technologies and contribute to industry-leading projects.

Benefits

Comprehensive benefits
Learning opportunities
Community engagement programs

Qualifications

  • 8+ years in complex AI systems.
  • Experience building production-grade AI systems.
  • Ability to design multi-agent systems.

Responsibilities

  • Design Generative AI systems using advanced techniques.
  • Develop Agentic AI frameworks to facilitate learning.
  • Work with teams to deploy industry-standard AI systems.

Skills

Generative AI
Agentic AI architectures
Multi-agent systems
MLOps pipeline optimization
Machine Learning

Education

PhD in Machine Learning, Computational Neuroscience, or AI Ethics

Tools

PyTorch Lightning
Hugging Face Transformers
LangChain
GCP Agentspace
AWS Bedrock
Job description

Who We Are

At Kyndryl, we design, build, manage, and modernize mission-critical technology systems worldwide. We are committed to building a more equitable, inclusive world for our employees, customers, and communities.

The Role

We are seeking a visionary AI Architect to develop next-generation AI solutions, including Generative AI, Agentic AI architectures, and collaborative Agentic Mesh ecosystems. This role requires expertise in designing self-organizing AI systems that integrate large language models (LLMs), small language models (SLMs), and multi-agent frameworks to enable transformative technological advancements. Candidates should demonstrate the ability to translate AI research into scalable, ethical systems with tangible real-world impacts.

Key Responsibilities

  1. Advanced Architecture Design
  • Design Generative AI systems using GANs, VAEs, and transformer-based models for content creation, simulation, and data augmentation.
  • Develop Agentic AI frameworks utilizing tools like LangChain, Hugging Face, GCP Agentspace, Azure AI Foundry, AWS Bedrock, and vector databases to facilitate autonomous problem-solving and adaptive learning.
  • Implement Agentic Mesh ecosystems where AI agents collaborate dynamically, combining various capabilities.
  • Model Optimization & Innovation
    • Create novel techniques for fine-tuning LLMs and SLMs, including retrieval-augmented generation (RAG) and context-aware prompt engineering.
    • Enhance inference performance for real-time applications through MLOps pipelines and cloud-native deployment.
    • Lead R&D efforts in neurosymbolic AI, interpretability, and ethical safeguards for autonomous systems.
  • Strategic Team Collaboration
    • Work with high-performance teams to deploy AI systems that set industry standards in fields like healthcare, finance, and supply chain.
    • Contribute to whitepapers and patents on emerging AI architectures, emphasizing sustainability and bias mitigation.

    Who You Are

    Required Qualifications

    • PhD in Machine Learning, Computational Neuroscience, AI Ethics, or equivalent experience with 8+ years in complex AI systems.
    • Over 7 years of experience building production-grade AI systems using tools and frameworks such as PyTorch Lightning, Hugging Face Transformers, and others listed.
    • Proven ability to design multi-agent systems with emergent collaboration capabilities.

    Cognitive & Professional Traits

    • Innovative thinker with patents or publications in top AI conferences (ICML, NeurIPS, AAAI).
    • Track record of projects delivering significant efficiency improvements through AI.
    • Knowledge of ethical AI frameworks like EU AI Act and OECD AI Principles.

    Preferred Qualifications

    • Contributions to open-source AI projects such as LangChain, AutoGPT, Hugging Face.
    • Experience with neuromorphic computing or quantum machine learning.
    • Roles in AI policy or standardization bodies.

    What We Offer

    • Opportunity to lead innovative projects at the forefront of Generative AI and Agentic Autonomy.
    • Access to diverse real-world use cases and clients.

    Application Process

    • Submit a technical whitepaper demonstrating original AI architecture ideas.
    • Provide a GitHub repository showcasing complex system designs.
    • Include a doctoral thesis abstract if applicable.

    Being You

    We celebrate diversity in all forms—culture, background, experience—and strive to create an inclusive environment through our Kyndryl Inclusion Networks and other initiatives, enabling everyone to bring their whole self to work.

    What You Can Expect

    Work with cutting-edge resources and Fortune 100 clients daily. We prioritize your well-being with comprehensive benefits, learning opportunities, and community engagement programs. We are committed to your success and growth.

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