Job Description
Job Description
Role : Solution Architect Cloud & GenAI
Duration : Long Term
Location : Raritan, NJ Onsite
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.
Roles & responsibilities
- 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
- 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.
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
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