Lead AI Architect

Kyndryl

Who We AreAt Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.The RoleWe seek a visionary AI Architect to pioneer next-generation AI solutions integrating Generative AI, Agentic AI architectures, and collaborative Agentic Mesh ecosystems. This role demands expertise in designing self-organizing AI systems that blend 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 impactKey Responsibilities Advanced Architecture DesignDesign 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 to enable autonomous problem-solving and adaptive learning Implement Agentic Mesh ecosystems where AI agents collaborate dynamically, combining language, behavioral, and domain-specific capabilities Model Optimization & InnovationDevelop 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 using native PaaS Lead R&D initiatives in neurosymbolic AI, mechanistic interpretability, and ethical guardrails for autonomous systems Strategic team playerWork with high performance teams in deploying AI systems that redefine industry standards (e.g., healthcare diagnostics, financial forecasting, supply chain resilience). Collaborate on publishing whitepapers and patents on emergent AI architectures, emphasizing sustainability and bias mitigation Who You AreRequired Qualifications (Must have)EducationPhD in Machine Learning, Computational Neuroscience, or AI Ethics (or niche MSc with 8+ years in complex AI systems) Technical Expertise7+ years building production-grade AI systems using: Generative AI: PyTorch Lightning, Hugging Face Transformers, Stable Diffusion, Open AI, Grok etc Agentic AI: Hugging Face, Nvidia Toolkits, Hyperscaler AI agent services, LangChain, vector databases, MCP, A2A protocols etc LLM/SLM Optimization: LoRA, QLoRA, and RLHF techniques Proven ability to design multi-agent systems with emergent collaboration capabilitiesCognitive & Professional TraitsLateral thinker with patents/publications in ICML, NeurIPS, or AAAI demonstrating unconventional problem-solving Portfolio of projects showcasing 10x efficiency gains through AI-driven process reinvention Fluency in ethical AI frameworks (EU AI Act, OECD AI Principles) Preferred Qualifications (Good To Have)Contributions to open-source AI projects (e.g., LangChain, AutoGPT, Hugging Face) Experience with neuromorphic computing or quantum machine learning integration. Advisory roles in AI policy committees or standardization bodies. What We OfferLead groundbreaking projects at the intersection of Generative AI and Agentic Autonomy. Large base of diverse customers and real world usecases to solve Apply with:Technical whitepaper demonstrating original thinking in AI architecture GitHub repository showcasing complex system designs Doctoral thesis abstract (if applicable) Shape the future of autonomous intelligence systems. Challenge accepted?#AgenticAIBeing YouDiversity is a whole lot more than what we look like or where we come from, it s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences.