Solution Architect – Cloud & GenAI

Company 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

Additional Information

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