About the Job:
At Kyndryl, we design, build, manage, and modernize the mission-critical technology systems that the world depends on every day. We strive to create a more equitable and inclusive world for our employees, customers, and communities.
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We are seeking a visionary AI Architect to pioneer next-generation AI solutions by integrating Generative AI, Agentic AI architectures, and collaborative Agentic Mesh ecosystems. This role requires expertise in designing self-organizing AI systems that incorporate large language models (LLMs), small language models (SLMs), and multi-agent frameworks to drive disruptive technological transformation. Candidates must demonstrate mastery in translating theoretical AI advancements into scalable, ethical systems with measurable real-world impact.
Key Responsibilities:
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Advanced Architecture Design:
- Design Generative AI systems leveraging GANs, VAEs, and transformer-based models for content synthesis, simulation, and data augmentation.
- Architect Agentic AI frameworks using LangChain, Hugging Face, GCP Agentspace, Azure AI Foundry, AWS Bedrock, and vector databases for autonomous problem-solving and adaptive learning.
- Implement Agentic Mesh ecosystems where AI agents collaborate dynamically, combining language, behavioral, and domain-specific capabilities.
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Model Optimization & Innovation:
- Develop novel techniques for LLM/SLM fine-tuning, including retrieval-augmented generation (RAG) and context-aware prompt engineering.
- Optimize inference performance for real-time applications using MLOps pipelines and cloud-native deployment.
- Lead R&D initiatives in neurosymbolic AI, mechanistic interpretability, and ethical guardrails for autonomous systems.
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Strategic Team Player:
- Collaborate with high-performance teams in deploying AI systems that set new industry standards (e.g., healthcare diagnostics, financial forecasting, supply chain resilience).
- Contribute to publishing whitepapers and patents on emergent AI architectures, emphasizing sustainability and bias mitigation.
Required Qualifications:
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Education: PhD in Machine Learning, Computational Neuroscience, or AI Ethics (or niche MSc with 8+ years of experience in complex AI systems).
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Technical Expertise:
- 7+ years building production-grade AI systems using Generative AI and Agentic AI tools.
- Proven ability to design multi-agent systems with emergent collaboration capabilities.
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Cognitive & Professional Traits:
- Lateral thinker with patents/publications in prominent AI conferences.
- Portfolio showcasing significant efficiency gains through AI-driven process reinvention.
- Fluency in ethical AI frameworks (e.g., EU AI Act, OECD AI Principles).
Preferred Qualifications:
- Contributions to open-source AI projects (e.g., LangChain, AutoGPT).
- Experience with neuromorphic computing or quantum machine learning integration.
- Advisory roles in AI policy committees or standardization bodies.
Additional Information:
We welcome people of all cultures, backgrounds, and experiences, fostering an inclusive workplace where everyone's input is valued. Kyndryl offers state-of-the-art resources, benefits reflecting employee diversity, opportunities for professional development, and a commitment to employee well-being.
Language Requirements: (if applicable, not explicitly mentioned)
- Fluency in English is generally preferred for technical roles in international settings.
Join us and shape the future of autonomous intelligence systems at Kyndryl.
