Generative AI Architect

3 - 10 years

0 Lacs

Posted:3 days ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

As a Generative AI Architect at Techvantage.ai, you will play a crucial role in designing and building intelligent systems that leverage cutting-edge Generative AI technologies to reshape the future across industries. With over 10 years of experience in technology roles and at least 3 years of expertise in Generative AI solutions, you will lead the development and deployment of AI platforms integrating large language models, multimodal AI, and other advanced GenAI capabilities into real-world applications. Key Responsibilities: - Architect and lead end-to-end solutions using LLMs, diffusion models, transformers, and multimodal AI in enterprise and consumer scenarios. - Design robust and scalable architectures for prompt engineering, model orchestration, embedding pipelines, vector databases, and fine-tuning/instruction tuning. - Evaluate and integrate open-source and proprietary models based on business requirements. - Lead model selection, finetuning, RAG, prompt optimization, and balance latency vs. performance. - Collaborate with cross-functional teams to design GenAI-powered applications aligned with business objectives. - Ensure adherence to ethical AI practices, data privacy, model safety, and bias mitigation. - Contribute to internal GenAI accelerators, frameworks, and innovation strategies. - Stay updated on AI/ML advancements and drive PoCs and pilot implementations across industry verticals. Qualifications Required: - 10+ years of experience in technology roles, including AI/ML architecture, data engineering, or solution architecture. - At least 3+ years of experience in designing and deploying Generative AI solutions. - Deep knowledge of transformer architectures, LLMs, diffusion models, and related frameworks. - Experience with prompt engineering, RAG pipelines, and vector database technologies. - Proficiency in Python, Docker, Kubernetes, and cloud platforms. - Strong understanding of MLOps, CI/CD for ML, and model lifecycle management. - Excellent communication and stakeholder management skills.,

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