PharmSci Agentic and Generative AI Architect

Responsibilities

• Design and implement agentic AI systems capable of multi-step reasoning, tool use, and autonomous task execution.
• Architect enterprise-grade GenAI solutions, including RAG pipelines, embedding strategies, orchestration layers, and evaluation frameworks.
• Lead PoCs and pilots and scale successful solutions into production-ready capabilities.
• Establish reusable architectural patterns, reference implementations, and technical standards for GenAI and agentic systems.
• Integrate AI solutions with existing platforms, data sources, and workflows to support adoption.
• Mentor team developers and contribute to raising overall GenAI and agentic AI maturity.
• Embed governance, security, evaluation, and monitoring considerations into solution design and deployment.

• Degree in Computer Science, Software Engineering, AI/ML, or equivalent applied experience required with 6+ years (Bachelor’s), 5+ years (Master’s), or 1+ year (PhD) of relevant experience.
• Significant hands‑on experience building production software and applied AI systems.
• Deep experience with GenAI, RAG architectures, and agentic workflow design.
• Strong programming skills (e.g., Python) and modern AI engineering practices.
• Experience operating in regulated or process-heavy environments (preferred).
• Ability to communicate complex technical concepts clearly to non-technical partners (preferred).