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Architect
AI/LLM Lead / AI Architect – New York (Hybrid) Contract
Responsibilities
- Collaborate with cross-functional teams, including product managers and domain experts, to discover, build, and iterate on innovative features and products.
- Ensure the scalability, security, and performance of our data platform and pipelines.
- Rapidly develop and iterate on proofs-of-concept to test new ideas and hypotheses to efficiently validate and evolve our software solutions in alignment with strategic objectives in drug development.
- Stay abreast of emerging trends and advancements in data engineering, and software development to continually enhance our product offerings.
- Act as an internal evangelist for use of data and best practices with the organization, providing expert guidance and insights to other teams within the organization.
About You
- Bachelor s or Master s degree in Computer Science, Engineering, or a related field, or equivalent experience.
- Minimum of 5 years of experience in data engineering in Python, with a demonstrated ability to thrive in ambiguous and rapidly-changing environments, with a proven track record of contributing significantly to the successful launch and scaling of new and innovative products, especially in a 0-1 setting.
- Deep understanding of complex data, data curation and data quality, such as traceability, security, performance latency and correctness across supply and demand processes.
- Exceptional collaboration and communication skills to effectively engage and work along stakeholders from diverse disciplines and varying levels of technical expertise. Ideally, adept at translating complex technical concepts into clear, actionable insights for all audiences.
- Experience with Infrastructure as Code (IaC) using modern tools such as Terraform or Cloud Formation and the full end-to-end process of modern software deployment (e.g., containerization, CI/CD).
- Experience in the pharmaceutical or biotech industry is a plus, but not required.
- Experience with AI technologies, particularly in LLMs and machine learning is a plus, but not required.
- Experience with vector storage is a plus but not required.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
