Greetings!
Please let me know, if interested in below role:

Solution Architect Cloud & GenAI

Raritan, NJ

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