Lead AI Engineer

Quantzig is a global analytics and advisory firm with offices in the US, UK, Canada, China, and India. we have assisted our clients across the globe with end-to-end advanced analytics, visual storyboarding , Machine Learning and data engineering solutions implementation for prudent decision making. We are a rapidly growing organization that is built and operated by high-performance champions

If you have what it takes to be the champion with business and functional skills to take ownership of an entire project end-to-end, help build a team with great work ethic and a drive to learn, you are the one were looking for. The clients love us for our solutioning capability, our enthusiasm and we expect you to be a part of our growth story.

Company Website: https://www.quantzig.com/

About the Role

We are looking for a passionate AI Engineer with proven expertise in Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) solutions. The ideal candidate will design, build, and deploy AI-driven applications that integrate seamlessly with enterprise systems while ensuring performance, scalability, and compliance.

Role: AI & Data Science Lead (Pharma/Life Sciences)

Experience: 7+ years

Location/Mode: Bangalore, WFO [Hybrid]

Must Have Skills

• 7+ years in Data Science & AI Leadership: Extensive experience in Advanced Analytics, specifically within Pharma or Life Sciences, showing a clear evolution from classical DS to AI-driven solutions.
• Expertise in Pharma Data Ecosystems: Deep hands-on experience with Patient-level data (Claims, EHR/EMR, Rx, Longitudinal Cohorts, HCP and Patient Master) and an understanding of data sparsity/biases.
• Advanced Modeling & Causal Inference: Mastery of supervised/unsupervised techniques (Regression, Clustering, Segmentation, Propensity) with a strong focus on Causal Inference to distinguish "correlation" from "impact" in commercial/medical decisions.
• GenAI & LLM Architecture: Proven experience designing and implementing GenAI workflows (RAG, Agentic Frameworks, Prompt Engineering) for insight extraction, summarization, or decision-support tools.
• Strategic Roadmap & Stakeholder Management: Ability to translate complex HCP/Patient business questions into structured AI Roadmaps and high-impact visualizations (Power BI / Tableau) for senior leadership.
• End-to-End Product Lifecycle: Experience leading an AI/Analytics product from problem discovery and MVP design through to production rollout and MLOps (monitoring for model drift and accuracy).
• Technical Stack: Advanced proficiency in Python and SQL; experience building scalable solutions on Cloud platforms (Databricks, Snowflake, AWS, or Azure).

Good to Have

• Therapeutic Area Depth: Prior work in CV/Metabolic, Oncology, Immunology, or Rare Diseases, including patient journey mapping and payer/access dynamics.
• Commercial Strategy: Experience using analogue launches to inform Field-force design, Launch strategy, and Patient-funnel optimization.
• AI Governance: Familiarity with Data Privacy (HIPAA/GDPR) and ethical AI guardrails within a regulated Pharma environment.
• Advanced Analytics: Exposure to Uplift modeling and Reinforcement Learning for personalized engagement strategies.

Soft Skills

• Strategic Business Acumen: Can bridge the gap between technical AI capabilities and Senior Commercial/Medical objectives.
• Exceptional Storytelling: Ability to communicate complex data narratives to non-technical stakeholders with clarity and persuasion.
• Ownership & Mentorship: High degree of accountability and the ability to guide junior DS talent through ambiguous, fast-paced launch environments.