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

Additional Information

All your information will be kept confidential according to EEO guidelines.