Lead - Artificial Intelligence Engineering

About the Role

We are seeking a dynamic and experienced Lead – AI Engineering 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 Lead, 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.

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.

 Ensure projects adhere to regulatory, compliance, and data governance standards,

particularly in a GxP or HIPAA-compliant environment.

 Drive innovation culture by piloting proofs-of-concept and scaling successful

initiatives across the organization.

Requirements

 Minimum 6+ years of experience in AI/ML/NLP, including at least 3 years in

GenAI technologies and team leadership or technical program management.

 Deep expertise in LLMs/SLMs, including prompt engineering, fine-tuning, and

building production-ready GenAI applications.

 Experience with RAG pipelines, vector search (FAISS, Pinecone, Weaviate), and

embedding models.

 Strong coding skills in Python and experience with frameworks like Hugging Face,

LangChain, LanGraph, OpenAI/Anthropic SDKs.

 Experience with API development, MLOps, and deploying models using containers

or cloud-native tools.

 Proven ability to lead cross-functional teams and translate business needs into

scalable AI systems.

 Strong analytical thinking, problem-solving, and architectural design capabilities.

Nice to Have

 Experience building or integrating voice assistants, speech-to-text APIs, or

multimodal GenAI interfaces.

 Familiarity with agent frameworks (e.g., CrewAI, AutoGen, LangGraph) for

autonomous AI workflows.

 Understanding of regulatory frameworks in life sciences (GxP, HIPAA, GDPR,

etc.).

 Prior exposure to enterprise IT systems in the pharmaceutical or healthcare domain.

Educational Qualifications

 Bachelor’s in Engineering (B.E./B.Tech.) or Master’s in Computer

Applications/Technology (MCA/M.Tech.).

 Certifications or specialization in AI/ML/Data Science are highly desirable.