About the Job:
At the company, we design, build, manage, and modernize the mission-critical technology systems that the world depends on every day. We are committed to building 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 that integrate Generative AI, Agentic AI architectures, and collaborative Agentic Mesh ecosystems. This role requires expertise in designing self-organizing AI systems that utilize large language models (LLMs), small language models (SLMs), and multi-agent frameworks to drive disruptive technological transformation. Candidates must demonstrate the ability to translate 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 using GANs, VAEs, and transformer-based models for content synthesis, simulation, and data augmentation.
- Architect Agentic AI frameworks utilizing 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.
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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:
- Work with high-performance teams to deploy AI systems that redefine industry standards in various sectors.
- Collaborate on 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 in complex AI systems).
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Technical Expertise:
- 7+ years in building production-grade AI systems including experience with Generative AI (e.g., PyTorch Lightning, Hugging Face Transformers) and Agentic AI (e.g., Hugging Face, Nvidia Toolkits).
- Proven ability to design multi-agent systems with emergent collaboration capabilities.
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Cognitive & Professional Traits:
- Demonstrated lateral thinking with patents/publications in ICML, NeurIPS, or AAAI.
- Portfolio showcasing significant efficiency gains through AI-driven process innovation.
- Fluency in ethical AI frameworks (EU AI Act, OECD AI Principles).
Preferred Qualifications:
- Contributions to open-source AI projects.
- Experience with neuromorphic computing or quantum machine learning integration.
- Advisory roles in AI policy committees or standardization bodies.
Language Requirements:
Fluency in English is required.
What We Offer:
- Opportunity to lead groundbreaking projects at the intersection of Generative AI and Agentic Autonomy.
- A diverse base of customers and real-world use cases to solve.
- Access to state-of-the-art resources and employee learning programs for industry certifications.
- A supportive environment that values well-being and offers various benefits reflecting employee diversity.
If you are ready to shape the future of autonomous intelligence systems, we encourage you to apply.
Application Process:
Please submit a technical white paper demonstrating original thinking in AI architecture, a GitHub repository showcasing complex system designs, and a doctoral thesis abstract (if applicable) when applying.
