Job description

## Qualifications - Years of Experience: Min 15-20 Years - We are seeking a highly skilled GEN AI Architect with extensive experience in designing and deploying AI powered agents and architectures - The ideal candidate will have a strong background in large language models (LLMs) and a proven track record of implementing scalable AI solutions that align with business objectives - This role requires a blend of technical expertise, strategic thinking, and excellent communication skills to collaborate effectively with cross functional teams - Hands on experience in designing and deploying AI powered agents and multi agent architectures - Expertise in Large Language Models (LLMs) such as GPT, BERT, and Llama - Proficiency in AI frameworks like TensorFlow, PyTorch, and Hugging Face - Strong knowledge of retrieval augmented generation (RAG) and vector databases (e.g., Vector DBs) - Experience with cloud AI services (Azure Cognitive Services) and containerized deployment using Docker and Kubernetes - Strong background in API driven development, API and Microservices, and event driven architectures - Experience with MLOps, CI/CD Pipeline, and monitoring AI models in production - Excellent problem solving, analytical thinking, and effective communication skills - The ideal candidate will possess a strong technical foundation in AI architecture and development, with a focus on delivering innovative solutions that drive business value - A commitment to responsible AI practices and a passion for continuous learning in the rapidly evolving AI landscape are essential ## Responsibilities - Define & Design AI Architectures: Establish scalable, modular, and efficient architectures for AI agents, LLM based applications, and generative AI models - Hands on AI Development: Implement and optimize generative AI models using frameworks such as OpenAI, LangChain, and RAG - AI Integration & Deployment: Work with cloud AI platforms (Azure) to implement best practices for MLOps, model serving, and continuous improvement - Enterprise AI Strategy: Align AI driven solutions with business objectives, ensuring scalability, security, and cost effectiveness - Cross functional Collaboration: Engage with product teams, data scientists, and engineering teams to ensure seamless integration of AI powered solutions into business workflows - AI Governance & Ethics: Establish responsible AI practices, ensuring compliance with data privacy, model bias mitigation, and security best practices - Evaluation & Optimization: Continuously assess AI agent performance and optimize for improved outcomes ## Full Description Dice is the leading career destination for tech experts at every stage of their careers. Our client, Amaze Systems Inc, is seeking the following. Apply via Dice today! Role: Gen AI Architect with Azure Location: Plano, TX, USA (Onsite/Hybrid) Duration: Long Term Years of Experience: Min 15-20 Years Job Summary: We are seeking a highly skilled GEN AI Architect with extensive experience in designing and deploying AI powered agents and architectures. The ideal candidate will have a strong background in large language models (LLMs) and a proven track record of implementing scalable AI solutions that align with business objectives. This role requires a blend of technical expertise, strategic thinking, and excellent communication skills to collaborate effectively with cross functional teams. Responsibilities: • Define & Design AI Architectures: Establish scalable, modular, and efficient architectures for AI agents, LLM based applications, and generative AI models. • Hands on AI Development: Implement and optimize generative AI models using frameworks such as OpenAI, LangChain, and RAG. • AI Integration & Deployment: Work with cloud AI platforms (Azure) to implement best practices for MLOps, model serving, and continuous improvement. • Enterprise AI Strategy: Align AI driven solutions with business objectives, ensuring scalability, security, and cost effectiveness. • Cross functional Collaboration: Engage with product teams, data scientists, and engineering teams to ensure seamless integration of AI powered solutions into business workflows. • AI Governance & Ethics: Establish responsible AI practices, ensuring compliance with data privacy, model bias mitigation, and security best practices. • Evaluation & Optimization: Continuously assess AI agent performance and optimize for improved outcomes. Mandatory Skills: • Hands on experience in designing and deploying AI powered agents and multi agent architectures. • Expertise in Large Language Models (LLMs) such as GPT, BERT, and Llama. • Proficiency in AI frameworks like TensorFlow, PyTorch, and Hugging Face. • Strong knowledge of retrieval augmented generation (RAG) and vector databases (e.g., Vector DBs). • Experience with cloud AI services (Azure Cognitive Services) and containerized deployment using Docker and Kubernetes. • Strong background in API driven development, API and Microservices, and event driven architectures. • Experience with MLOps, CI/CD Pipeline, and monitoring AI models in production. • Excellent problem solving, analytical thinking, and effective communication skills. Preferred Skills: • Experience with AI orchestration/agent's frameworks, including AG2, CrewAI, and AutoGPT. • Familiarity with multi modal AI models (text, image, video, audio) and AI personalization techniques. • Knowledge of Responsible AI principles, including bias mitigation and explainability. • Advanced academic background (PhD/Master's) in AI, ML, Data Science, or a related field. Qualifications: The ideal candidate will possess a strong technical foundation in AI architecture and development, with a focus on delivering innovative solutions that drive business value. A commitment to responsible AI practices and a passion for continuous learning in the rapidly evolving AI landscape are essential. Thanks &Regards Rahul Sharma | Talent Acquisition Specialist Amaze Systems Inc E: |

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