Forward Deployed Engineer -Agentic AI
- 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, behavioural, and domain-specific capabilities
- Develop novel techniques for LLM/SLM fine-tuning, including retrieval-augmented generation (RAG) and context-aware prompt engineering
- Optimise 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
- Collaborate with high-performance teams to deploy 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, emphasising sustainability and bias mitigation
Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won't find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialise in a specific sector, you can find your opportunity here. Who You Are You're good at what you do and possess the required experience to prove it. However, equally as important, you have a growth mindset; you are keen to drive your own personal and professional development. You are customer-focused - someone who prioritises customer success in their work. And finally, you're open and borderless - naturally inclusive in how you work with others. Required Skills and Experience
- 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, OpenAI, Grok etc
- Agentic AI: Hugging Face, Nvidia Toolkits, Hyperscaler AI agent services, LangChain, vector databases, MCP, A2A protocols etc
- LLM/SLM Optimisation: 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)
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