Principal AI Solutions Architect

7 days ago

Delhi, Delhi, India beBeeData Full time ₹ 20,00,000 - ₹ 25,00,000
Job Title: Principal AI Solutions Architect

As a seasoned expert in Generative AI, you will drive the development of cutting-edge solutions that transform user experiences and streamline business processes.

  • Shape Next-Generation Solutions: Partner with cross-functional teams to design and implement AI-driven systems that enhance operational efficiency and drive business growth.
  • Enhance AI Through Data: Employ data-centric methodologies to improve model accuracy and responsiveness by curating high-quality datasets and optimizing real-time performance.
  • Finetune Industry-Specific Gen AI Models: Adapt and fine-tune large language models for domain-specific applications using advanced techniques like instruction tuning, domain adaptation, and reinforcement learning from human feedback (RLHF).
  • Develop Intelligent AI Agents: Architect and refine AI agents that solve complex business challenges, leveraging LLMs to deliver personalized, user-centric solutions.
  • Advance Generative AI Applications: Innovate with cutting-edge generative AI models such as LLM, VLM, GANs, and VAEs to create tailored applications for dynamic content creation, predictive analytics, and enhanced automation.
  • Scale AI with Cloud Technology: Deploy and scale LLM-based solutions on platforms like GCP, AWS and Azure to address real-world business problems with precision and efficiency.

Key Responsibilities
  • Design AI Systems: Build AI agents for tasks such as content compliance, asset decomposition, and contextual personalization.
  • Develop NLP Pipelines: Implement advanced NLP solutions for search relevance, intent detection, and dynamic content generation.
  • Integrate Multi-Modal Systems: Combine data modalities such as text, images, and metadata for enriched user interactions and insights.
  • Optimize AI Pipelines: Innovate in latency reduction, scalability, and real-time responsiveness for AI systems in production.
  • Collaborate on AI Innovation: Work with business stakeholders to identify opportunities and deliver impactful AI-driven solutions.

Experience Required
  • BS/MS in Computer Science, Math, Physics, Engineering, Statistics, or another quantitative or computational field. Advanced degrees preferred.
  • Fine tuning experience of Large Language models (LLMs, VLLMs, or Vision model)
  • Distributed training or inference experience with frameworks like Ray, vllm, openllm, bentoML etc.
  • Experience with frameworks like LangChain, Llamaindex for building maintainable, scalable Generative AI applications.
  • Deployment experience or optimized hosting experience of Large Language models (LLMs, VLLMs, or Vision model)
  • Experience working with any Vector database like Milvus, FAISS, ChromaDB etc
  • Experience developing agents with frameworks like LangGraph, CrewAI, Autogen etc
  • Experience with prompt engineering
  • Keeping up with latest market trends
  • Experience working with open source large language models from HuggingFace
  • Experience working with atleast one public cloud provider such as Azure, AWS or GCP
  • Experience working with container technology like Docker, ECS etc
  • Experience with DevOps practices and CI/CD pipelines for data solutions
  • Experience in deploying solutions to production with Kubernetes or OpenShift
  • Experience with managing ML workflows with MLFlow or KubeFlow

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