GenAI Architect - Fractional - India(Remote)

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August 17

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BlockTXM Inc

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B2B • HR Tech • Recruitment

BlockTXM Inc. is a global network dedicated to connecting businesses with elite IT professionals for staffing solutions. They specialize in providing vetted enterprise-level IT talent quickly, enabling companies to ramp up their projects efficiently. By leveraging deep-learning AI, BlockTXM tailors services that enhance hiring processes, including candidate assessments and personalized consultations, to ensure a perfect fit for each company's unique needs. Their commitment to outcome-based results and client satisfaction, alongside their robust support system, positions them as a reliable partner in the dynamic landscape of IT talent acquisition.

11 - 50 employees

Founded 2019

🤝 B2B

👥 HR Tech

🎯 Recruiter

📋 Description

• This is a remote position. • Role Purpose To lead the end-to-end architecture, design, and deployment of advanced, scalable Generative AI solutions. • This highly specialized role is at the forefront of AI innovation, responsible for selecting and orchestrating the complex components required to build high-performance Generative AI systems. • Generative AI Solution Design: Lead the architecture of complex GenAI systems, including Large Language Model (LLM) selection, fine-tuning strategies, and the design of Retrieval-Augmented Generation (RAG) pipelines. • Technology Stack Expertise: Build scalable solutions using cloud AI services (e.g., Azure AI, AWS Bedrock) and open-source frameworks like LangChain and LlamaIndex. Write efficient Python code for data processing and APIs. • Model and System Optimization: Enhance model performance, scalability, and cost-efficiency through prompt engineering, model quantization, and efficient data pipeline design. • Vector Database Management: Design and implement solutions using vector databases (e.g., Pinecone, Weaviate, Chroma) for efficient similarity search in RAG systems. • MLOps for GenAI: Implement CI/CD pipelines and containerization (Docker, Kubernetes) for the continuous integration and deployment of Generative AI models. • Technical Leadership & Innovation: Provide expert guidance to development teams on GenAI best practices. Stay updated on the latest trends in LLMs and diffusion models, and drive proof-of-concept projects and pilot implementations. • Stakeholder Collaboration: Work with cross-functional teams to align GenAI solutions with business goals and effectively communicate highly technical concepts to non-technical stakeholders.

🎯 Requirements

• 5-8 years of work experience in AI/technology • Experience with Generative AI, LLMs, RAG • Experience with LangChain, LlamaIndex, Hugging Face, TensorFlow, PyTorch • Cloud AI Platforms: Azure AI Services, AWS Bedrock, Google Vertex AI • Vector Databases: Pinecone, Weaviate, Chroma, Milvus • MLOps: CI/CD, Docker, Kubernetes, Azure DevOps • Programming: Python (expert-level), RESTful API Development • Data Engineering: Data Pipelines, Azure Data Services • Solution Architecture: Cloud Architecture, Microservices, Design Patterns • Certifications: Azure AI Engineer Associate, AWS Certified Machine Learning - Specialty