Artificial Intelligence Engineer

About the Role :

We are seeking a dynamic and experienced Manager – AI to lead the design, development, and deployment of next-generation AI solutions, with a strong focus on Generative AI , Natural Language Processing (NLP) , and Machine Learning (ML) within the pharmaceutical industry.

As an AI Manager, you will guide a team of engineers and data scientists, drive project execution, and collaborate closely with product and domain teams. You will be responsible for architecting production-grade systems, mentoring technical talent, and spearheading innovation through applied GenAI.

This role combines strategic leadership, technical depth, and hands-on execution—ideal for a candidate passionate about operationalizing cutting-edge AI technologies for real-world impact in life sciences.

Salary Range : 10.00 to 20.00 LPA

Key Responsibilities

• Lead and manage the end-to-end lifecycle of AI / GenAI projects, from scoping and architecture to development, testing, deployment, and optimization.
• Guide the development of intelligent agents , LLM-powered chatbots , and voice-enabled systems tailored to pharmaceutical and enterprise use cases.
• Architect context-aware GenAI solutions using RAG (Retrieval-Augmented Generation), embeddings, vector databases, and multimodal models.
• Oversee fine-tuning of LLMs (e.G., GPT, Claude, LLaMA, Mistral, Phi 4) and drive responsible AI evaluation practices (e.G., hallucination mitigation, prompt robustness).
• Collaborate with cross-functional stakeholders including product owners, regulatory teams, and business leads to align AI solutions with strategic goals.
• Lead and mentor a team of AI / ML engineers and researchers, fostering technical growth and high performance.
• Stay current with emerging trends in GenAI, open-source models, agent frameworks, and voice tech;

translate advancements into practical applications.

Requirements

Nice to Have

Educational Qualifications

Benefits We Offer