Solution Architect Cloud & GenAI
Location: Raritan NJ
Onsite Role
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 multicloud 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 multicloud 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 cloudnative 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 opensource 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
Tekshapers is an equal opportunity employer and will consider all applications without regard to race sex age color religion national origin veteran status disability sexual orientation gender identity genetic information or any characteristic protected by law.