Description

You design and deliver end-to-end AI, ML, and GenAI solutions for pharmaceutical business objectives.

This role is remote.

Responsibilities

• Translate complex business and pharmaceutical problems into technical solution designs, defining data inputs, model architectures, and deployment patterns.
• Design GenAI solutions using LLMs, RAG pipelines, prompt engineering, agents, and knowledge search to improve productivity and decision-making.
• Own the solution lifecycle from ideation and proof-of-concept to implementation support, deployment, and adoption tracking.
• Partner with engineering and platform teams to ensure solutions are scalable, secure, and aligned with enterprise architecture and MLOps/LLMOps practices.
• Assess data availability, feasibility, and risks while communicating trade-offs and recommendations to technical and non-technical stakeholders.

Required Skills

• 8+ years of experience in AI solution design, architecture, and applied analytics.
• Strong proficiency in Python and SQL.
• Experience designing LLM-based systems, GenAI platforms, and RAG architectures.
• Knowledge of vector databases, prompt engineering frameworks, and AI agent workflow automation.
• Understanding of ML models, statistical methods, deep learning, and NLP.
• Experience with cloud services (AWS, Azure) and API integration patterns.
• Familiarity with MLOps, model monitoring, governance, and responsible AI principles.
• Ability to bridge business requirements with technical implementation in regulated environments.

Preferred Skills

• Domain knowledge in pharmaceuticals, including clinical trials, drug discovery, or regulatory compliance.
• Experience with build-vs-buy considerations for AI technology stacks.

Key Skills

Education

Any Gradute