| Solution Architect Cloud & GenAI :: Raritan, NJ at Raritan, New Jersey, USA |
| Email: [email protected] |
| From: Ekta Chaudhary, Epeople Technologies [email protected] Reply to: [email protected] Summary: We are seeking a visionary and highly experienced GenAI Solution Architect to lead the design, development, and implementation of transformative GenAI solutions that drive innovation and business value for Drug Development. As a subject matter expert, you will leverage your deep understanding of multi-cloud platforms and GenAI expertise to build scalable, performant, and explainable solutions. Gen AI Architect, Cross Cloud experience (AWS+ GCP+Azure) Role and Responsibility: You will design and develop Generative AI Design patterns, technical architecture & define best practices Ensure solutions are maintainable, adaptable, and aligned with industry standards. Prioritize transparency and build explainability into GenAI developed products to foster trust and understanding. Conduct analysis and interpretation of complex data sets to derive meaningful insights and recommendations that enhance drug development process Work across matrix teams to design repeatable, reusable framework and standards Document solution specifications (e.g., architecture, data flows, algorithms) to ensure transparency / reproducibility. Knowledge of functional capabilities of multi-cloud environment - integration tools and technologies, including appropriate certifications and knowledge of best practices on deployment and development Skills and Competencies: Generative AI Design patterns, technical architecture & define best practices Advanced NLP techniques and deep learning methodologies Current understanding of LLMs and their use Experience: 7+ years of experience in Solution Architecture or Lead cloud Engineering position with at least 2+ years of previous work experience with Generative AI Ability to define target state technology architecture and roadmaps. Practical experience in training & inferring from LLMs, including quantization & prompt engineering. Strong knowledge of data structures, algorithms, and software engineering principles Experience with big data platforms such as Snowflake and Databricks Expert with cloud compute environments (GCP/AWS/Azure) along with cloud-native tools Proficient in API creation with FastAPI, Flask, etc., and familiar with Streamlit or similar tools. Skilled in applications (Python, PyTorch, TensorFlow, or Keras). Demonstrated ability to prototype innovative GenAI solutions. Adaptable to new technologies, diverse use cases, partner types, and settings. Involvement with the open-source AI community is a plus. Familiarity with J&J Environment, Drug Development and Pharmaceutical R&D is advantageous. Keywords: artificial intelligence rlang Solution Architect Cloud & GenAI :: Raritan, NJ [email protected] |
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| Wed Sep 11 02:35:00 UTC 2024 |