Lead AI Architect

Who We Are

At 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 Role

We 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 impact

Key Responsibilities

1. 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 to enable autonomous problem-solving and adaptive learning
• Implement Agentic Mesh ecosystems where AI agents collaborate dynamically, combining language, behavioral, and domain-specific capabilities

• 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 using native PaaS
• Lead R&D initiatives in neurosymbolic AI, mechanistic interpretability, and ethical guardrails for autonomous systems

• Work 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

• PhD in Machine Learning, Computational Neuroscience, or AI Ethics (or niche MSc with 8+ years in complex AI systems)

• 7+ 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 capabilities

• Lateral 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)

• 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.

• Lead groundbreaking projects at the intersection of Generative AI and Agentic Autonomy.
• Large base of diverse customers and real world usecases to solve

• Technical whitepaper demonstrating original thinking in AI architecture
• GitHub repository showcasing complex system designs
• Doctoral thesis abstract (if applicable)