Solution Architect Cloud GenAI

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

• Design and develop Generative AI design patterns, technical architecture, and 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 the drug development process.
• Work across matrix teams to design repeatable, reusable frameworks and standards.
• Document solution specifications (e.g., architecture, data flows, algorithms) to ensure transparency and reproducibility.
• Knowledge of functional capabilities of multi-cloud environments, 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.

Qualifications:

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